Purpose:Citations can be used in evaluative bibliometrics to measure the impact of papers.However,citation analysis can be extended by a multi-dimensional perspective on citation impact which is intended to receive mo...Purpose:Citations can be used in evaluative bibliometrics to measure the impact of papers.However,citation analysis can be extended by a multi-dimensional perspective on citation impact which is intended to receive more specific information about the kind of received impact.Design/methodology/approach:Bornmann,Wray,and Haunschild(2019)introduced citation concept analysis(CCA)for capturing the importance and usefulness certain concepts have in subsequent research.The method is based on the analysis of citances-the contexts of citations in citing papers.This study applies the method by investigating the impact of various concepts introduced in the oeuvre of the world-leading French sociologist Pierre Bourdieu.Findings:We found that the most cited concepts are‘social capital’(with about 34%of the citances in the citing papers),‘cultural capital’,and‘habitus’(both with about 24%).On the other hand,the concepts‘doxa’and‘reflexivity’score only about 1%each.Research limitations:The formulation of search terms for identifying the concepts in the data and the citation context coverage are the most important limitations of the study.Practical implications:The results of this explorative study reflect the historical development of Bourdieu’s thought and its interface with different fields of study.Originality/value:The study demonstrates the high explanatory power of the CCA method.展开更多
Purpose： （1） To test basic assumptions underlying frequency-weighted citation analysis： （a） Uni-citations correspond to citations that are nonessential to the citing papers; （b） The influence of a cited paper ...Purpose： （1） To test basic assumptions underlying frequency-weighted citation analysis： （a） Uni-citations correspond to citations that are nonessential to the citing papers; （b） The influence of a cited paper on the citing paper increases with the frequency with which it is cited in the citing paper. （2） To explore the degree to which citation location may be used to help identify nonessential citations. Design/methodology/approach： Each of the in-text citations in all research articles published in Issue 1 of the Journal of the Association for Information Science and Technology （JASIST） 2016 was manually classified into one of these five categories： Applied, Contrastive, Supportive, Reviewed, and Perfunctory. The distributions of citations at different in-text frequencies and in different locations in the text by these functions were analyzed. Findings： Filtering out nonessential citations before assigning weight is important for frequency-weighted citation analysis. For this purpose, removing citations by location is more effective than re-citation analysis that simply removes uni-citations. Removing all citation occurrences in the Background and Literature Review sections and uni-citations in the Introduction section appears to provide a good balance between filtration and error rates. Research limitations： This case study suffers from the limitation of scalability and generalizability. We took careful measures to reduce the impact of other limitations of the data collection approach used. Relying on the researcher＇s judgment to attribute citation functions, this approach is unobtrusive but speculative, and can suffer from a low degree of confidence, thus creating reliability concerns. Practical implications： Weighted citation analysis promises to improve citation analysis for research evaluation, knowledge network analysis, knowledge representation, and information retrieval. The present study showed the importance of filtering out nonessential citations before assigning weight in a weighted citation analysis, which may be a significant step forward to realizing these promises. Originality/value： Weighted citation analysis has long been proposed as a theoretical solution to the problem of citation analysis that treats all citations equally, and has attracted increasing research interest in recent years. The present study showed, for the first time, the importance of filtering out nonessential citations in weighted citation analysis, pointing research in this area in a new direction.展开更多
Purpose:For a set of 1,561 Open Access(OA)and non-OA journals in business and economics,this study evaluates the relationships between four citation metrics-five-year Impact Factor(5IF),CiteScore,Article Influence(AI)...Purpose:For a set of 1,561 Open Access(OA)and non-OA journals in business and economics,this study evaluates the relationships between four citation metrics-five-year Impact Factor(5IF),CiteScore,Article Influence(AI)score,and SCImago Journal Rank(SJR)-and the journal ratings assigned by expert reviewers.We expect that the OA journals will have especially high citation impact relative to their perceived quality(reputation).Design/methodology/approach:Regression is used to estimate the ratings assigned by expert reviewers for the 2021 CABS(Chartered Association of Business Schools)journal assessment exercise.The independent variables are the four citation metrics,evaluated separately,and a dummy variable representing the OA/non-OA status of each journal.Findings:Regardless of the citation metric used,OA journals in business and economics have especially high citation impact relative to their perceived quality(reputation).That is,they have especially low perceived quality(reputation)relative to their citation impact.Research limitations:These results are specific to the CABS journal ratings and the four citation metrics.However,there is strong evidence that CABS is closely related to several other expert ratings,and that 5IF,CiteScore,AI,and SJR are representative of the other citation metrics that might have been chosen.Practical implications:There are at least two possible explanations for these results:(1)expert evaluators are biased against OA journals,and(2)OA journals have especially high citation impact due to their increased accessibility.Although this study does not allow us to determine which of these explanations are supported,the results suggest that authors should consider publishing in OA journals whenever overall readership and citation impact are more important than journal reputation within a particular field.Moreover,the OA coefficients provide a useful indicator of the extent to which anti-OA bias(or the citation advantage of OA journals)is diminishing over time.Originality/value:This is apparently the first study to investigate the impact of OA status on the relationships between expert journal ratings and journal citation metrics.展开更多
The author regrets that the paper titled“Gauging scholars’acceptance of Open Access journals by examining the relationship between perceived quality and citation impact”(DOI:10.2478/jdis-2025-0002),as published,con...The author regrets that the paper titled“Gauging scholars’acceptance of Open Access journals by examining the relationship between perceived quality and citation impact”(DOI:10.2478/jdis-2025-0002),as published,contains errors in four of the table captions.For Tables 12-15,“CABS business journals”should read“CABS economics journals.”The tables do have the correct values for the economics journals,and the findings reported in the text do not need revision.The author apologizes for any inconvenience.展开更多
Purpose:This study examines why papers with high CD indices(measuring research disruptiveness)increasingly show reduced citation impact and investigates whether this represents genuine impact reduction or methodologic...Purpose:This study examines why papers with high CD indices(measuring research disruptiveness)increasingly show reduced citation impact and investigates whether this represents genuine impact reduction or methodological artifacts.Design/methodology/approach:We analyzed 29 million papers(1950-2016)using Poisson regression to examine relationships between the CD index and citation count,with controls for fields,team size,and reference count.Findings:Papers with high CD indices showed reduced citation impact over time.However,when controlling for increasing reference counts in papers,this relationship reversed,revealing a positive association.Papers with more references exhibit lower CD indices owing to the index’s sensitivity to the reference count,while achieving higher citation counts.Alternative innovation metrics consistently show positive correlations with citation impact.Research limitations:The approach may not adequately capture the reduced citation impact of highly disruptive papers with fewer references.The analysis is limited to journal articles and shows correlation rather than causality.Practical implications:The apparent undervaluation of disruptive research stems from methodological artifacts in the CD index calculation driven by evolving reference patterns.Researchers should control for the reference count when using this metric.Originality/value:This study reveals that bias against disruptive research is specific to the CD index’s calculation methodology,identifying reference behavior as the key factor affecting the relationship between disruption metrics and citation impact.展开更多
Purpose:This study investigates the physics of annual fractional citation growth and its impact on journal bibliographic metrics,focusing on the interplay between journal publication growth and citation dynamics.Desig...Purpose:This study investigates the physics of annual fractional citation growth and its impact on journal bibliographic metrics,focusing on the interplay between journal publication growth and citation dynamics.Design/methodology/approach:We analyze bibliometric data from three prominent fluids journals-Physics of Fluids,Journal of Fluid Mechanics,and Physical Review Fluids-over the period 1999-2023.The analysis examines the relations among annual fractional journal publication growth,citation growth,and bibliographic metric suppressions.Findings:Our findings reveal that the suppression of impact factor growth is significantly influenced by annual fractional journal publication growth rather than citation growth.All three journals exhibit similar responses to publication growth with minimal scatter,following a consistent functional relation.We also identify narrow,nearly Gaussian distributions for annual fractional journal publication growth.Furthermore,we introduce a new growth-independent dimensionless bibliometric metric,journal urgency,the ratio of annual fractional citation growth to the 4-year running average immediacy index.This metric captures effectively the dependency of citation growth on urgency and reveals consistent distributions across the journals analyzed.Research limitations:The study is limited to three major fluids journals and to the availability of bibliometric data from 1999 to 2023.Future work could extend the analysis to other disciplines and journals.Practical implications:Understanding the relation between publication growth and bibliometric suppressions can inform editorial and strategic decisions in journal management.The proposed journal urgency metric offers a novel tool for assessing and comparing journal performance independent of growth rates.Originality/value:This study introduces a new bibliometric metric-journal urgency-that provides fresh insights into citation dynamics and bibliographic metric behavior.It highlights the critical role of publication growth in shaping journal impact factors and CiteScores,offering a unified framework applicable across multiple journals.展开更多
Purpose:This study explores how academic mobility influenced research productivity and citation impactamong Ukrainian scholars from 2005 to 2023.It examines the effects of evolving research assessmentpolicies on schol...Purpose:This study explores how academic mobility influenced research productivity and citation impactamong Ukrainian scholars from 2005 to 2023.It examines the effects of evolving research assessmentpolicies on scholarly publishing,particularly in the context of institutional affiliations and national versusinternational mobility.Design/methodology/approach:Using publication and citation data from the Dimensions database,thisstudy analyses two cohorts of Ukrainian scholars who began publishing during 2005–2013 and 2014–2023.The analysis categorises scholars by affiliation type(universities vs.National Academy of Sciences ofUkraine),and mobility status(non-mobile,nationally mobile,and internationally mobile),enabling acomparative evaluation of research output and impact.Findings:The findings reveal a structural shift in affiliations,with a sharp increase in university-affiliatedscholars and a decline in the National Academy of Sciences of Ukraine scholars.Although research outputgrew,citation impact remained low,particularly among non-mobile scholars.International mobilityconsistently correlates with higher productivity and impact,while national mobility yields modest gains,likely due to uniform constraints across domestic institutions.The post-2013 policy changes increasedpublication volume but not citation impact,as they focused primarily on quantity,not quality.Furthermore,Russo-Ukrainian war has severely constrained academic work.Research limitations:The analysis is limited by the bibliometric database coverage and the reliance oninitial and final affiliations as a proxy for mobility,which may overlook interim mobility events.Practical implications:The findings suggest that research policy in Ukraine should go beyond incentivisingpublication counts and instead foster quality through enhanced infrastructure,sustained funding,andexpanded international collaboration opportunities.Originality/value:This study offers new insights into how mobility patterns interact with institutionalstructures and national policy in a war-affected research system.展开更多
CNKI has published the ＂Annual Report for International Citation of Chinese Academic Journals＂ since 2012. In the past three years, it has provided comprehensive data on the international impact of Chinese academic ...CNKI has published the ＂Annual Report for International Citation of Chinese Academic Journals＂ since 2012. In the past three years, it has provided comprehensive data on the international impact of Chinese academic journals. Using the clout index （CI） to rank the Chinese academic journals, ＂the Highest International Impact Academic Journals of China＂ and ＂ the Excellent International Impact Academic Journals of China＂ are announced every year. By introducing the rating criteria of the ＂Annual Report for International Citation of Chinese Academic Journals＂, the characteristics of high impact journals are discussed. Especially, the status of the pharmaceutical journals is discussed. We found that there are increasing numbers of Chinese journals that are included in the SCI, and some of them are high impact journals. However, journals published in Chinese are still facing difficulties to be included in SCI, even though they show higher impact than journals published in other non-English languages. The Chinese Pharmaceutical journals need to enhance their international impact, but Journals on Chinese Medicine show high impact.展开更多
Purpose:Researchers frequently encounter the following problems when writing scientific articles:(1)Selecting appropriate citations to support the research idea is challenging.(2)The literature review is not conducted...Purpose:Researchers frequently encounter the following problems when writing scientific articles:(1)Selecting appropriate citations to support the research idea is challenging.(2)The literature review is not conducted extensively,which leads to working on a research problem that others have well addressed.The study focuses on citation recommendation in the related studies section by applying the term function of a citation context,potentially improving the efficiency of writing a literature review.Design/methodology/approach:We present nine term functions with three newly created and six identified from existing literature.Using these term functions as labels,we annotate 531 research papers in three topics to evaluate our proposed recommendation strategy.BM25 and Word2vec with VSM are implemented as the baseline models for the recommendation.Then the term function information is applied to enhance the performance.Findings:The experiments show that the term function-based methods outperform the baseline methods regarding the recall,precision,and F1-score measurement,demonstrating that term functions are useful in identifying valuable citations.Research limitations:The dataset is insufficient due to the complexity of annotating citation functions for paragraphs in the related studies section.More recent deep learning models should be performed to future validate the proposed approach.Practical implications:The citation recommendation strategy can be helpful for valuable citation discovery,semantic scientific retrieval,and automatic literature review generation.Originality/value:The proposed citation function-based citation recommendation can generate intuitive explanations of the results for users,improving the transparency,persuasiveness,and effectiveness of recommender systems.展开更多
Purpose:We study the proportion of Web of Science(WoS)citation links that are represented in the Crossref Open Citation Index(COCI),with the possible aim of using COCI in research evaluation instead of the WoS,if the ...Purpose:We study the proportion of Web of Science(WoS)citation links that are represented in the Crossref Open Citation Index(COCI),with the possible aim of using COCI in research evaluation instead of the WoS,if the level of coverage was sufficient.Design/methodology/approach:We calculate the proportion on citation links where both publications have a WoS accession number and a DOI simultaneously,and where the cited publications have had at least one author from our institution,the Czech Technical University in Prague.We attempt to look up each such citation link in COCI.Findings:We find that 53.7%of WoS citation links are present in the COCI.The proportion varies largely by discipline.The total figures differ significantly from 40%in the large-scale study by Van Eck,Waltman,Larivière,and Sugimoto(blog 2018,https://www.cwts.nl/blog?article=n-r2s234).Research limitations:The sample does not cover all science areas uniformly;it is heavily focused on Engineering and Technology,and only some disciplines of Natural Sciences are present.However,this reflects the real scientific orientation and publication profile of our institution.Practical implications:The current level of coverage is not sufficient for the WoS to be replaced by COCI for research evaluation.Originality/value:The present study illustrates a COCI vs WoS comparison on the scale of a larger technical university in Central Europe.展开更多
Purpose:Providing an overview of types of citation curves.Design/methodology/approach:The terms citation curves or citation graphs are made explicit.Findings:A framework for the study of diachronous(and synchronous)ci...Purpose:Providing an overview of types of citation curves.Design/methodology/approach:The terms citation curves or citation graphs are made explicit.Findings:A framework for the study of diachronous(and synchronous)citation curves is proposed.Research limitations:No new practical applications are given.Practical implications:This short note about citation curves will help readers to make the optimal choice for their applications.Originality/value:A new scheme for the meaning of the term"citation curve"is designed.展开更多
Citations play an important role in the scientific community by assisting in measuring multifarious policies like the impact of journals,researchers,institutions,and countries.Authors cite papers for different reasons...Citations play an important role in the scientific community by assisting in measuring multifarious policies like the impact of journals,researchers,institutions,and countries.Authors cite papers for different reasons,such as extending previous work,comparing their study with the state-of-the-art,providing background of the field,etc.In recent years,researchers have tried to conceptualize all citations into two broad categories,important and incidental.Such a categorization is very important to enhance scientific output in multiple ways,for instance,(1)Helping a researcher in identifying meaningful citations from a list of 100 to 1000 citations(2)Enhancing the impact factor calculation mechanism by more strongly weighting important citations,and(3)Improving researcher,institutional,and university rankings by only considering important citations.All of these uses depend upon correctly identifying the important citations from the list of all citations in a paper.To date,researchers have utilized many features to classify citations into these broad categories:cue phrases,in-text citation counts,and metadata features,etc.However,contemporary approaches are based on identification of in-text citation counts,mapping sections onto the Introduction,Methods,Results,and Discussion(IMRAD)structure,identifying cue phrases,etc.Identifying such features accurately is a challenging task and is normally conducted manually,with the accuracy of citation classification demonstrated in terms of these manually extracted features.This research proposes to examine the content of the cited and citing pair to identify important citing papers for each cited paper.This content similarity approach was adopted from research paper recommendation approaches.Furthermore,a novel section-based content similarity approach is also proposed.The results show that solely using the abstract of the cited and citing papers can achieve similar accuracy as the stateof-the-art approaches.This makes the proposed approach a viable technique that does not depend on manual identification of complex features.展开更多
Citations based relevant research paper recommendations can be generated primarily with the assistance of three citation models:(1)Bibliographic Coupling,(2)Co-Citation,and(3)Direct Citations.Millions of new scholarly...Citations based relevant research paper recommendations can be generated primarily with the assistance of three citation models:(1)Bibliographic Coupling,(2)Co-Citation,and(3)Direct Citations.Millions of new scholarly articles are published every year.This flux of scientific information has made it a challenging task to devise techniques that could help researchers to find the most relevant research papers for the paper at hand.In this study,we have deployed an in-text citation analysis that extends the Direct Citation Model to discover the nature of the relationship degree-ofrelevancy among scientific papers.For this purpose,the relationship between citing and cited articles is categorized into three categories:weak,medium,and strong.As an experiment,around 5,000 research papers were crawled from the CiteSeerX.These research papers were parsed for the identification of in-text citation frequencies.Subsequently,0.1 million references of those articles were extracted,and their in-text citation frequencies were computed.A comprehensive benchmark dataset was established based on the user study.Afterwards,the results were validated with the help of Least Square Approximation by Quadratic Polynomial method.It was found that degreeof-relevancy between scientific papers is a quadratic increasing/decreasing polynomial with respect to-increase/decrease in the in-text citation frequencies of a cited article.Furthermore,the results of the proposed model were compared with state-of-the-art techniques by utilizing a well-known measure,known as the normalized Discount Cumulative Gain(nDCG).The proposed method received an nDCG score of 0.89,whereas the state-of-the-art models such as the Content,Bibliographic-coupling,and Metadata-based Models were able to acquire the nDCG values of 0.65,0.54,and 0.51 respectively.These results indicate that the proposed mechanism may be applied in future information retrieval systems for better results.展开更多
This study examines how writer stance is projected in citation from a comparative perspective.The dataset consisted of 120 qualitative and quantitative research articles(RAs)that were authored by Anglophone and Chines...This study examines how writer stance is projected in citation from a comparative perspective.The dataset consisted of 120 qualitative and quantitative research articles(RAs)that were authored by Anglophone and Chinese applied linguists.ANO?VA tests revealed marked cross-language and cross-paradigmatic differences in stance-based dialogic engagement.展开更多
Recent time handling uncertainty and its measurement is considered as one of the major issues by data science and applied mathematics researchers. It becomes more complex when the dynamicity exists in data sets. One o...Recent time handling uncertainty and its measurement is considered as one of the major issues by data science and applied mathematics researchers. It becomes more complex when the dynamicity exists in data sets. One of the suitable examples is Scopus data sets which changes every time. In this case, precise measurement of consistency in document and citation publications is considered as one of the issues. It becomes more complex when the parameter like h-index and document count can be also manipulated over the period of time. To resolve this issue, a time-based index called as “t-index” is illustrated in this paper with an example. This method measures the randomness in document publication and citation using the average h-index and its entropy measurement.展开更多
This paper selects 998 articles as its data sources from four Chinese core journals in the field of Library and Information Science from 2003 to 2007.Some pertinent aspects of reference citations particularly from web...This paper selects 998 articles as its data sources from four Chinese core journals in the field of Library and Information Science from 2003 to 2007.Some pertinent aspects of reference citations particularly from web resources are selected for a focused analysis and discussion.This includes primarily such items as the number of web citations,web citations per each article,the distribution of domain names of web citations and also certain aspects about the institutional and/or geographical affiliations of the author.The evolving situation of utilizing online networked academic information resources in China is the central thematic discussion of this study.The writing of this paper is augmented by the explicatory presentation of 3 graphic figures,6 tables and 18 references.展开更多
Purpose： First, to review the state-of-the-art in patent citation analysis, particularly characteristics of patent citations to scientific literature （scientific non-patent references, SNPRs）. Second, to present a ...Purpose： First, to review the state-of-the-art in patent citation analysis, particularly characteristics of patent citations to scientific literature （scientific non-patent references, SNPRs）. Second, to present a novel mapping approach to identify technology-relevant research based on the papers cited by and referring to the SNPRs. Design/methodology/approach： In the review part we discuss the context of SNPRs such as the time lags between scientific achievements and inventions. Also patent-to-patent citation is addressed particularly because this type of patent citation analysis is a major element in the assessment of the economic value of patents. We also review the research on the role of universities and researchers in technological development, with important issues such as universities as sources of technological knowledge and inventor-author relations. We conclude the review part of this paper with an overview of recent research on mapping and network analysis of the science and technology interface and of technological progress in interaction with science. In the second part we apply new techniques for the direct visualization of the cited and citing relations of SNPRs, the mapping of the landscape around SNPRs by bibliographic coupling and co-citation analysis, and the mapping of the conceptual environment of SNPRs by keyword co-occurrence analysis. Findings： We discuss several properties of SNPRs. Only a small minority of publications covered by the Web of Science or Scopus are cited by patents, about 3%-4%. However, for publications based on university-industry collaboration the number of SNPRs is considerably higher, around 15%. The proposed mapping methodology based on a ＂second order SNPR approach＂ enables a better assessment of the technological relevance of research. Research limitations： The main limitation is that a more advanced merging of patent and publication data, in particular unification of author and inventor names, in still a necessity. Practical implications： The proposed mapping methodology enables the creation of a database of technology-relevant papers （TRPs）. In a bibliometric assessment the publications of research groups, research programs or institutes can be matched with the TRPs and thus the extent to which the work of groups, programs or institutes are relevant for technological development can be measured. Originality/value： The review part examines a wide range of findings in the research of patent citation analysis. The mapping approach to identify a broad range of technologyrelevant papers is novel and offers new opportunities in research evaluation practices.展开更多
Purpose:This study attempts to disclose the characteristics of knowledge integration in an interdisciplinary field by looking into the content aspect of knowledge.Design/methodology/approach:The eHealth field was chos...Purpose:This study attempts to disclose the characteristics of knowledge integration in an interdisciplinary field by looking into the content aspect of knowledge.Design/methodology/approach:The eHealth field was chosen in the case study.Associated knowledge phrases(AKPs)that are shared between citing papers and their references were extracted from the citation contexts of the eHealth papers by applying a stem-matching method.A classification schema that considers the functions of knowledge in the domain was proposed to categorize the identified AKPs.The source disciplines of each knowledge type were analyzed.Quantitative indicators and a co-occurrence analysis were applied to disclose the integration patterns of different knowledge types.Findings:The annotated AKPs evidence the major disciplines supplying each type of knowledge.Different knowledge types have remarkably different integration patterns in terms of knowledge amount,the breadth of source disciplines,and the integration time lag.We also find several frequent co-occurrence patterns of different knowledge types.Research limitations:The collected articles of the field are limited to the two leading open access journals.The stem-matching method to extract AKPs could not identify those phrases with the same meaning but expressed in words with different stems.The type of Research Subject dominates the recognized AKPs,which calls on an improvement of the classification schema for better knowledge integration analysis on knowledge units.Practical implications:The methodology proposed in this paper sheds new light on knowledge integration characteristics of an interdisciplinary field from the content perspective.The findings have practical implications on the future development of research strategies in eHealth and the policies about interdisciplinary research.Originality/value:This study proposed a new methodology to explore the content characteristics of knowledge integration in an interdisciplinary field.展开更多
After three rounds of rigorous evaluation of core journals in gastroenterology andhepatology conducted by the Reference Citation Analysis (RCA) editorial team ofBaishideng Publishing Group (Baishideng), the RCA databa...After three rounds of rigorous evaluation of core journals in gastroenterology andhepatology conducted by the Reference Citation Analysis (RCA) editorial team ofBaishideng Publishing Group (Baishideng), the RCA database of Baishidengofficially released the 2022 Journal Article Influence Index (2022 JAII) of 101 corejournals in gastroenterology and hepatology, for the first time. The list of 101 corejournals can be found at: https://www.referencecitationanalysis.com/Search-Journal. Among them, the highest 2022 JAII is 48.014 and the lowest is 3.900. Thisarticle highlights the top 20 journals, describes the calculation method for the 2022JAII, the evaluation process, and the inclusion principles for journals in the RCA.These steps are the underpinning of the RCA’s empirical journal academicevaluation service by which the digital platform addresses the needs of authors toselect reliable journals for submission, readers to select high-quality literature forreading, and editors to track their own journal citation performance. As such, theRCA core journal list will serve as a useful Find-a-Journal tool. Any interestedparty is welcome to use this journal list and recommend it to their peers.展开更多
文摘Purpose:Citations can be used in evaluative bibliometrics to measure the impact of papers.However,citation analysis can be extended by a multi-dimensional perspective on citation impact which is intended to receive more specific information about the kind of received impact.Design/methodology/approach:Bornmann,Wray,and Haunschild(2019)introduced citation concept analysis(CCA)for capturing the importance and usefulness certain concepts have in subsequent research.The method is based on the analysis of citances-the contexts of citations in citing papers.This study applies the method by investigating the impact of various concepts introduced in the oeuvre of the world-leading French sociologist Pierre Bourdieu.Findings:We found that the most cited concepts are‘social capital’(with about 34%of the citances in the citing papers),‘cultural capital’,and‘habitus’(both with about 24%).On the other hand,the concepts‘doxa’and‘reflexivity’score only about 1%each.Research limitations:The formulation of search terms for identifying the concepts in the data and the citation context coverage are the most important limitations of the study.Practical implications:The results of this explorative study reflect the historical development of Bourdieu’s thought and its interface with different fields of study.Originality/value:The study demonstrates the high explanatory power of the CCA method.
文摘Purpose： （1） To test basic assumptions underlying frequency-weighted citation analysis： （a） Uni-citations correspond to citations that are nonessential to the citing papers; （b） The influence of a cited paper on the citing paper increases with the frequency with which it is cited in the citing paper. （2） To explore the degree to which citation location may be used to help identify nonessential citations. Design/methodology/approach： Each of the in-text citations in all research articles published in Issue 1 of the Journal of the Association for Information Science and Technology （JASIST） 2016 was manually classified into one of these five categories： Applied, Contrastive, Supportive, Reviewed, and Perfunctory. The distributions of citations at different in-text frequencies and in different locations in the text by these functions were analyzed. Findings： Filtering out nonessential citations before assigning weight is important for frequency-weighted citation analysis. For this purpose, removing citations by location is more effective than re-citation analysis that simply removes uni-citations. Removing all citation occurrences in the Background and Literature Review sections and uni-citations in the Introduction section appears to provide a good balance between filtration and error rates. Research limitations： This case study suffers from the limitation of scalability and generalizability. We took careful measures to reduce the impact of other limitations of the data collection approach used. Relying on the researcher＇s judgment to attribute citation functions, this approach is unobtrusive but speculative, and can suffer from a low degree of confidence, thus creating reliability concerns. Practical implications： Weighted citation analysis promises to improve citation analysis for research evaluation, knowledge network analysis, knowledge representation, and information retrieval. The present study showed the importance of filtering out nonessential citations before assigning weight in a weighted citation analysis, which may be a significant step forward to realizing these promises. Originality/value： Weighted citation analysis has long been proposed as a theoretical solution to the problem of citation analysis that treats all citations equally, and has attracted increasing research interest in recent years. The present study showed, for the first time, the importance of filtering out nonessential citations in weighted citation analysis, pointing research in this area in a new direction.
文摘Purpose:For a set of 1,561 Open Access(OA)and non-OA journals in business and economics,this study evaluates the relationships between four citation metrics-five-year Impact Factor(5IF),CiteScore,Article Influence(AI)score,and SCImago Journal Rank(SJR)-and the journal ratings assigned by expert reviewers.We expect that the OA journals will have especially high citation impact relative to their perceived quality(reputation).Design/methodology/approach:Regression is used to estimate the ratings assigned by expert reviewers for the 2021 CABS(Chartered Association of Business Schools)journal assessment exercise.The independent variables are the four citation metrics,evaluated separately,and a dummy variable representing the OA/non-OA status of each journal.Findings:Regardless of the citation metric used,OA journals in business and economics have especially high citation impact relative to their perceived quality(reputation).That is,they have especially low perceived quality(reputation)relative to their citation impact.Research limitations:These results are specific to the CABS journal ratings and the four citation metrics.However,there is strong evidence that CABS is closely related to several other expert ratings,and that 5IF,CiteScore,AI,and SJR are representative of the other citation metrics that might have been chosen.Practical implications:There are at least two possible explanations for these results:(1)expert evaluators are biased against OA journals,and(2)OA journals have especially high citation impact due to their increased accessibility.Although this study does not allow us to determine which of these explanations are supported,the results suggest that authors should consider publishing in OA journals whenever overall readership and citation impact are more important than journal reputation within a particular field.Moreover,the OA coefficients provide a useful indicator of the extent to which anti-OA bias(or the citation advantage of OA journals)is diminishing over time.Originality/value:This is apparently the first study to investigate the impact of OA status on the relationships between expert journal ratings and journal citation metrics.
文摘The author regrets that the paper titled“Gauging scholars’acceptance of Open Access journals by examining the relationship between perceived quality and citation impact”(DOI:10.2478/jdis-2025-0002),as published,contains errors in four of the table captions.For Tables 12-15,“CABS business journals”should read“CABS economics journals.”The tables do have the correct values for the economics journals,and the findings reported in the text do not need revision.The author apologizes for any inconvenience.
基金supported by the Basic Research Program for Young Students(Doctoral Students)of the National Natural Science Foundation of China(#724B2015)。
文摘Purpose:This study examines why papers with high CD indices(measuring research disruptiveness)increasingly show reduced citation impact and investigates whether this represents genuine impact reduction or methodological artifacts.Design/methodology/approach:We analyzed 29 million papers(1950-2016)using Poisson regression to examine relationships between the CD index and citation count,with controls for fields,team size,and reference count.Findings:Papers with high CD indices showed reduced citation impact over time.However,when controlling for increasing reference counts in papers,this relationship reversed,revealing a positive association.Papers with more references exhibit lower CD indices owing to the index’s sensitivity to the reference count,while achieving higher citation counts.Alternative innovation metrics consistently show positive correlations with citation impact.Research limitations:The approach may not adequately capture the reduced citation impact of highly disruptive papers with fewer references.The analysis is limited to journal articles and shows correlation rather than causality.Practical implications:The apparent undervaluation of disruptive research stems from methodological artifacts in the CD index calculation driven by evolving reference patterns.Researchers should control for the reference count when using this metric.Originality/value:This study reveals that bias against disruptive research is specific to the CD index’s calculation methodology,identifying reference behavior as the key factor affecting the relationship between disruption metrics and citation impact.
文摘Purpose:This study investigates the physics of annual fractional citation growth and its impact on journal bibliographic metrics,focusing on the interplay between journal publication growth and citation dynamics.Design/methodology/approach:We analyze bibliometric data from three prominent fluids journals-Physics of Fluids,Journal of Fluid Mechanics,and Physical Review Fluids-over the period 1999-2023.The analysis examines the relations among annual fractional journal publication growth,citation growth,and bibliographic metric suppressions.Findings:Our findings reveal that the suppression of impact factor growth is significantly influenced by annual fractional journal publication growth rather than citation growth.All three journals exhibit similar responses to publication growth with minimal scatter,following a consistent functional relation.We also identify narrow,nearly Gaussian distributions for annual fractional journal publication growth.Furthermore,we introduce a new growth-independent dimensionless bibliometric metric,journal urgency,the ratio of annual fractional citation growth to the 4-year running average immediacy index.This metric captures effectively the dependency of citation growth on urgency and reveals consistent distributions across the journals analyzed.Research limitations:The study is limited to three major fluids journals and to the availability of bibliometric data from 1999 to 2023.Future work could extend the analysis to other disciplines and journals.Practical implications:Understanding the relation between publication growth and bibliometric suppressions can inform editorial and strategic decisions in journal management.The proposed journal urgency metric offers a novel tool for assessing and comparing journal performance independent of growth rates.Originality/value:This study introduces a new bibliometric metric-journal urgency-that provides fresh insights into citation dynamics and bibliographic metric behavior.It highlights the critical role of publication growth in shaping journal impact factors and CiteScores,offering a unified framework applicable across multiple journals.
基金This project received funding through the MSCA4Ukraine project,which is funded by the European Union.
文摘Purpose:This study explores how academic mobility influenced research productivity and citation impactamong Ukrainian scholars from 2005 to 2023.It examines the effects of evolving research assessmentpolicies on scholarly publishing,particularly in the context of institutional affiliations and national versusinternational mobility.Design/methodology/approach:Using publication and citation data from the Dimensions database,thisstudy analyses two cohorts of Ukrainian scholars who began publishing during 2005–2013 and 2014–2023.The analysis categorises scholars by affiliation type(universities vs.National Academy of Sciences ofUkraine),and mobility status(non-mobile,nationally mobile,and internationally mobile),enabling acomparative evaluation of research output and impact.Findings:The findings reveal a structural shift in affiliations,with a sharp increase in university-affiliatedscholars and a decline in the National Academy of Sciences of Ukraine scholars.Although research outputgrew,citation impact remained low,particularly among non-mobile scholars.International mobilityconsistently correlates with higher productivity and impact,while national mobility yields modest gains,likely due to uniform constraints across domestic institutions.The post-2013 policy changes increasedpublication volume but not citation impact,as they focused primarily on quantity,not quality.Furthermore,Russo-Ukrainian war has severely constrained academic work.Research limitations:The analysis is limited by the bibliometric database coverage and the reliance oninitial and final affiliations as a proxy for mobility,which may overlook interim mobility events.Practical implications:The findings suggest that research policy in Ukraine should go beyond incentivisingpublication counts and instead foster quality through enhanced infrastructure,sustained funding,andexpanded international collaboration opportunities.Originality/value:This study offers new insights into how mobility patterns interact with institutionalstructures and national policy in a war-affected research system.
基金Project for Enhancing International Impact of China STM Journals(2013–2015)the High Quality Scientific Journals Project(2014–2015Chinese Association for Science and Technology)
文摘CNKI has published the ＂Annual Report for International Citation of Chinese Academic Journals＂ since 2012. In the past three years, it has provided comprehensive data on the international impact of Chinese academic journals. Using the clout index （CI） to rank the Chinese academic journals, ＂the Highest International Impact Academic Journals of China＂ and ＂ the Excellent International Impact Academic Journals of China＂ are announced every year. By introducing the rating criteria of the ＂Annual Report for International Citation of Chinese Academic Journals＂, the characteristics of high impact journals are discussed. Especially, the status of the pharmaceutical journals is discussed. We found that there are increasing numbers of Chinese journals that are included in the SCI, and some of them are high impact journals. However, journals published in Chinese are still facing difficulties to be included in SCI, even though they show higher impact than journals published in other non-English languages. The Chinese Pharmaceutical journals need to enhance their international impact, but Journals on Chinese Medicine show high impact.
基金This work is supported by the National Natural Science Foundation of China(Grant No.7167030644 and 71704137)。
文摘Purpose:Researchers frequently encounter the following problems when writing scientific articles:(1)Selecting appropriate citations to support the research idea is challenging.(2)The literature review is not conducted extensively,which leads to working on a research problem that others have well addressed.The study focuses on citation recommendation in the related studies section by applying the term function of a citation context,potentially improving the efficiency of writing a literature review.Design/methodology/approach:We present nine term functions with three newly created and six identified from existing literature.Using these term functions as labels,we annotate 531 research papers in three topics to evaluate our proposed recommendation strategy.BM25 and Word2vec with VSM are implemented as the baseline models for the recommendation.Then the term function information is applied to enhance the performance.Findings:The experiments show that the term function-based methods outperform the baseline methods regarding the recall,precision,and F1-score measurement,demonstrating that term functions are useful in identifying valuable citations.Research limitations:The dataset is insufficient due to the complexity of annotating citation functions for paragraphs in the related studies section.More recent deep learning models should be performed to future validate the proposed approach.Practical implications:The citation recommendation strategy can be helpful for valuable citation discovery,semantic scientific retrieval,and automatic literature review generation.Originality/value:The proposed citation function-based citation recommendation can generate intuitive explanations of the results for users,improving the transparency,persuasiveness,and effectiveness of recommender systems.
文摘Purpose:We study the proportion of Web of Science(WoS)citation links that are represented in the Crossref Open Citation Index(COCI),with the possible aim of using COCI in research evaluation instead of the WoS,if the level of coverage was sufficient.Design/methodology/approach:We calculate the proportion on citation links where both publications have a WoS accession number and a DOI simultaneously,and where the cited publications have had at least one author from our institution,the Czech Technical University in Prague.We attempt to look up each such citation link in COCI.Findings:We find that 53.7%of WoS citation links are present in the COCI.The proportion varies largely by discipline.The total figures differ significantly from 40%in the large-scale study by Van Eck,Waltman,Larivière,and Sugimoto(blog 2018,https://www.cwts.nl/blog?article=n-r2s234).Research limitations:The sample does not cover all science areas uniformly;it is heavily focused on Engineering and Technology,and only some disciplines of Natural Sciences are present.However,this reflects the real scientific orientation and publication profile of our institution.Practical implications:The current level of coverage is not sufficient for the WoS to be replaced by COCI for research evaluation.Originality/value:The present study illustrates a COCI vs WoS comparison on the scale of a larger technical university in Central Europe.
基金supported by the National Natural Science Foundation of China,Grant numbers 71573225 and 71974167。
文摘Purpose:Providing an overview of types of citation curves.Design/methodology/approach:The terms citation curves or citation graphs are made explicit.Findings:A framework for the study of diachronous(and synchronous)citation curves is proposed.Research limitations:No new practical applications are given.Practical implications:This short note about citation curves will help readers to make the optimal choice for their applications.Originality/value:A new scheme for the meaning of the term"citation curve"is designed.
文摘Citations play an important role in the scientific community by assisting in measuring multifarious policies like the impact of journals,researchers,institutions,and countries.Authors cite papers for different reasons,such as extending previous work,comparing their study with the state-of-the-art,providing background of the field,etc.In recent years,researchers have tried to conceptualize all citations into two broad categories,important and incidental.Such a categorization is very important to enhance scientific output in multiple ways,for instance,(1)Helping a researcher in identifying meaningful citations from a list of 100 to 1000 citations(2)Enhancing the impact factor calculation mechanism by more strongly weighting important citations,and(3)Improving researcher,institutional,and university rankings by only considering important citations.All of these uses depend upon correctly identifying the important citations from the list of all citations in a paper.To date,researchers have utilized many features to classify citations into these broad categories:cue phrases,in-text citation counts,and metadata features,etc.However,contemporary approaches are based on identification of in-text citation counts,mapping sections onto the Introduction,Methods,Results,and Discussion(IMRAD)structure,identifying cue phrases,etc.Identifying such features accurately is a challenging task and is normally conducted manually,with the accuracy of citation classification demonstrated in terms of these manually extracted features.This research proposes to examine the content of the cited and citing pair to identify important citing papers for each cited paper.This content similarity approach was adopted from research paper recommendation approaches.Furthermore,a novel section-based content similarity approach is also proposed.The results show that solely using the abstract of the cited and citing papers can achieve similar accuracy as the stateof-the-art approaches.This makes the proposed approach a viable technique that does not depend on manual identification of complex features.
文摘Citations based relevant research paper recommendations can be generated primarily with the assistance of three citation models:(1)Bibliographic Coupling,(2)Co-Citation,and(3)Direct Citations.Millions of new scholarly articles are published every year.This flux of scientific information has made it a challenging task to devise techniques that could help researchers to find the most relevant research papers for the paper at hand.In this study,we have deployed an in-text citation analysis that extends the Direct Citation Model to discover the nature of the relationship degree-ofrelevancy among scientific papers.For this purpose,the relationship between citing and cited articles is categorized into three categories:weak,medium,and strong.As an experiment,around 5,000 research papers were crawled from the CiteSeerX.These research papers were parsed for the identification of in-text citation frequencies.Subsequently,0.1 million references of those articles were extracted,and their in-text citation frequencies were computed.A comprehensive benchmark dataset was established based on the user study.Afterwards,the results were validated with the help of Least Square Approximation by Quadratic Polynomial method.It was found that degreeof-relevancy between scientific papers is a quadratic increasing/decreasing polynomial with respect to-increase/decrease in the in-text citation frequencies of a cited article.Furthermore,the results of the proposed model were compared with state-of-the-art techniques by utilizing a well-known measure,known as the normalized Discount Cumulative Gain(nDCG).The proposed method received an nDCG score of 0.89,whereas the state-of-the-art models such as the Content,Bibliographic-coupling,and Metadata-based Models were able to acquire the nDCG values of 0.65,0.54,and 0.51 respectively.These results indicate that the proposed mechanism may be applied in future information retrieval systems for better results.
文摘This study examines how writer stance is projected in citation from a comparative perspective.The dataset consisted of 120 qualitative and quantitative research articles(RAs)that were authored by Anglophone and Chinese applied linguists.ANO?VA tests revealed marked cross-language and cross-paradigmatic differences in stance-based dialogic engagement.
文摘Recent time handling uncertainty and its measurement is considered as one of the major issues by data science and applied mathematics researchers. It becomes more complex when the dynamicity exists in data sets. One of the suitable examples is Scopus data sets which changes every time. In this case, precise measurement of consistency in document and citation publications is considered as one of the issues. It becomes more complex when the parameter like h-index and document count can be also manipulated over the period of time. To resolve this issue, a time-based index called as “t-index” is illustrated in this paper with an example. This method measures the randomness in document publication and citation using the average h-index and its entropy measurement.
基金supported by National Social Science Fund of China(Grant No.08CTQ015)
文摘This paper selects 998 articles as its data sources from four Chinese core journals in the field of Library and Information Science from 2003 to 2007.Some pertinent aspects of reference citations particularly from web resources are selected for a focused analysis and discussion.This includes primarily such items as the number of web citations,web citations per each article,the distribution of domain names of web citations and also certain aspects about the institutional and/or geographical affiliations of the author.The evolving situation of utilizing online networked academic information resources in China is the central thematic discussion of this study.The writing of this paper is augmented by the explicatory presentation of 3 graphic figures,6 tables and 18 references.
文摘Purpose： First, to review the state-of-the-art in patent citation analysis, particularly characteristics of patent citations to scientific literature （scientific non-patent references, SNPRs）. Second, to present a novel mapping approach to identify technology-relevant research based on the papers cited by and referring to the SNPRs. Design/methodology/approach： In the review part we discuss the context of SNPRs such as the time lags between scientific achievements and inventions. Also patent-to-patent citation is addressed particularly because this type of patent citation analysis is a major element in the assessment of the economic value of patents. We also review the research on the role of universities and researchers in technological development, with important issues such as universities as sources of technological knowledge and inventor-author relations. We conclude the review part of this paper with an overview of recent research on mapping and network analysis of the science and technology interface and of technological progress in interaction with science. In the second part we apply new techniques for the direct visualization of the cited and citing relations of SNPRs, the mapping of the landscape around SNPRs by bibliographic coupling and co-citation analysis, and the mapping of the conceptual environment of SNPRs by keyword co-occurrence analysis. Findings： We discuss several properties of SNPRs. Only a small minority of publications covered by the Web of Science or Scopus are cited by patents, about 3%-4%. However, for publications based on university-industry collaboration the number of SNPRs is considerably higher, around 15%. The proposed mapping methodology based on a ＂second order SNPR approach＂ enables a better assessment of the technological relevance of research. Research limitations： The main limitation is that a more advanced merging of patent and publication data, in particular unification of author and inventor names, in still a necessity. Practical implications： The proposed mapping methodology enables the creation of a database of technology-relevant papers （TRPs）. In a bibliometric assessment the publications of research groups, research programs or institutes can be matched with the TRPs and thus the extent to which the work of groups, programs or institutes are relevant for technological development can be measured. Originality/value： The review part examines a wide range of findings in the research of patent citation analysis. The mapping approach to identify a broad range of technologyrelevant papers is novel and offers new opportunities in research evaluation practices.
基金This study was funded by the National Social Science Foundation of China with Grant No.20CTQ024.
文摘Purpose:This study attempts to disclose the characteristics of knowledge integration in an interdisciplinary field by looking into the content aspect of knowledge.Design/methodology/approach:The eHealth field was chosen in the case study.Associated knowledge phrases(AKPs)that are shared between citing papers and their references were extracted from the citation contexts of the eHealth papers by applying a stem-matching method.A classification schema that considers the functions of knowledge in the domain was proposed to categorize the identified AKPs.The source disciplines of each knowledge type were analyzed.Quantitative indicators and a co-occurrence analysis were applied to disclose the integration patterns of different knowledge types.Findings:The annotated AKPs evidence the major disciplines supplying each type of knowledge.Different knowledge types have remarkably different integration patterns in terms of knowledge amount,the breadth of source disciplines,and the integration time lag.We also find several frequent co-occurrence patterns of different knowledge types.Research limitations:The collected articles of the field are limited to the two leading open access journals.The stem-matching method to extract AKPs could not identify those phrases with the same meaning but expressed in words with different stems.The type of Research Subject dominates the recognized AKPs,which calls on an improvement of the classification schema for better knowledge integration analysis on knowledge units.Practical implications:The methodology proposed in this paper sheds new light on knowledge integration characteristics of an interdisciplinary field from the content perspective.The findings have practical implications on the future development of research strategies in eHealth and the policies about interdisciplinary research.Originality/value:This study proposed a new methodology to explore the content characteristics of knowledge integration in an interdisciplinary field.
文摘After three rounds of rigorous evaluation of core journals in gastroenterology andhepatology conducted by the Reference Citation Analysis (RCA) editorial team ofBaishideng Publishing Group (Baishideng), the RCA database of Baishidengofficially released the 2022 Journal Article Influence Index (2022 JAII) of 101 corejournals in gastroenterology and hepatology, for the first time. The list of 101 corejournals can be found at: https://www.referencecitationanalysis.com/Search-Journal. Among them, the highest 2022 JAII is 48.014 and the lowest is 3.900. Thisarticle highlights the top 20 journals, describes the calculation method for the 2022JAII, the evaluation process, and the inclusion principles for journals in the RCA.These steps are the underpinning of the RCA’s empirical journal academicevaluation service by which the digital platform addresses the needs of authors toselect reliable journals for submission, readers to select high-quality literature forreading, and editors to track their own journal citation performance. As such, theRCA core journal list will serve as a useful Find-a-Journal tool. Any interestedparty is welcome to use this journal list and recommend it to their peers.
