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A new approach to compare the scientific impact of scholars
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作者 Anand Bihari Sudhakar Tripathi +1 位作者 Akshay Deepak p.mohan kumar 《Journal of Data and Information Science》 2025年第2期40-60,共21页
Purpose:Generally,the scientific comparison has been done with the help of the overall impact of scholars.Although it is very easy to compare scholars,but how can we assess the scientific impact of scholars who have d... Purpose:Generally,the scientific comparison has been done with the help of the overall impact of scholars.Although it is very easy to compare scholars,but how can we assess the scientific impact of scholars who have different research careers?It is very obvious,the scholars may gain a high impact if they have more research experience or have spent more time(in terms of research career in a year).Then we cannot compare two scholars who have different research careers.Many bibliometrics indicators address the time-span of scholars.In this series,the h-index sequence and EM/EM’-index sequence have been introduced for assessment and comparison of the scientific impact of scholars.The h-index sequence,EM-index sequence,and EM’-index sequence consider the yearly impact of scholars,and comparison is done by the index value along with their component value.The time-series indicators fail to give a comparative analysis between senior and junior scholars if there is a huge difference in both scholars’research careers.Design/methodology/approach:We have proposed the cumulative index calculation method to appraise the scientific impact of scholars till that age and tested it with 89 scholars data.Findings:The proposed mechanism is implemented and tested on 89 scholars’publication data,providing a clear difference between the scientific impact of two scholars.This also helps in predicting future prominent scholars based on their research impact.Research limitations:This study adopts a simplistic approach by assigning equal credit to all authors,regardless of their individual contributions.Further,the potential impact of career breaks on research productivity is not taken into account.These assumptions may limit the generalizability of our findings Practical implications:The proposed method can be used by respected institutions to compare their scholars impact.Funding agencies can also use it for similar purposes.Originality/value:This research adds to the existing literature by introducing a novel methodology for comparing the scientific impact of scholars.The outcomes of this research have notable implications for the development of more precise and unbiased research assessment frameworks,enabling a more equitable evaluation of scholarly contributions. 展开更多
关键词 H-INDEX EM-index EM’-index h-index sequences EM-index sequence EM’-index sequence Scientific comparison Research impact
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An Ophthalmic Evaluation of Central Serous Chorioretinopathy
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作者 L.K.Shoba p.mohan kumar 《Computer Systems Science & Engineering》 SCIE EI 2023年第1期613-628,共16页
Nowadays in the medicalfield,imaging techniques such as Optical Coherence Tomography(OCT)are mainly used to identify retinal diseases.In this paper,the Central Serous Chorio Retinopathy(CSCR)image is analyzed for vari... Nowadays in the medicalfield,imaging techniques such as Optical Coherence Tomography(OCT)are mainly used to identify retinal diseases.In this paper,the Central Serous Chorio Retinopathy(CSCR)image is analyzed for various stages and then compares the difference between CSCR before as well as after treatment using different application methods.Thefirst approach,which was focused on image quality,improves medical image accuracy.An enhancement algorithm was implemented to improve the OCT image contrast and denoise purpose called Boosted Anisotropic Diffusion with an Unsharp Masking Filter(BADWUMF).The classifier used here is tofigure out whether the OCT image is a CSCR case or not.150 images are checked for this research work(75 abnormal from Optical Coherence Tomography Image Retinal Database,in-house clinical database,and 75 normal images).This article explicitly decides that the approaches suggested aid the ophthalmologist with the precise retinal analysis and hence the risk factors to be minimized.The total precision is 90 percent obtained from the Two Class Support Vector Machine(TCSVM)classifier and 93.3 percent is obtained from Shallow Neural Network with the Powell-Beale(SNNWPB)classifier using the MATLAB 2019a program. 展开更多
关键词 OCT CSCR MACULA segmentation boosted anisotropic diffusion with unsharp maskingfilter two class support vector machine classifier and shallow neural network with powell-beale classifier
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