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M-Score:A Context-Specific Score to Assess Scientific Productivity with OEVGSI Grading


Affiliations
1 Department of Computer Science, University of Kerala, Kariavattom, Thiruvananthapuram 695 581, India
 

In this communication, a new context-specific score, named M-score is being proposed. This score is able to complement the mock h-index (hm-index) and at the same time overcome some limitations of other popular indices such as h-index, g-index, etc. The proposed Mscore is computed not only on the basis of an individual's performance in scientific productivity, but also on the basis of the performance of other individuals in the field. This means that the M-score of an individual is an indicator towards his/her research performance relative to others in the field. Finally, based on the Mscore of an individual, his/her research contributions are graded using the OEVGSI (Outstanding, Excellent, Very Good, Good, Sufficient and Insufficient) grading system. The significance of context-specific M-score has been proved with the help of a sample dataset taken from Google Scholar.

Keywords

Bibliometrics, Mock H-Index, M-Score, Scientometrics.
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  • M-Score:A Context-Specific Score to Assess Scientific Productivity with OEVGSI Grading

Abstract Views: 218  |  PDF Views: 78

Authors

Madhu S. Nair
Department of Computer Science, University of Kerala, Kariavattom, Thiruvananthapuram 695 581, India

Abstract


In this communication, a new context-specific score, named M-score is being proposed. This score is able to complement the mock h-index (hm-index) and at the same time overcome some limitations of other popular indices such as h-index, g-index, etc. The proposed Mscore is computed not only on the basis of an individual's performance in scientific productivity, but also on the basis of the performance of other individuals in the field. This means that the M-score of an individual is an indicator towards his/her research performance relative to others in the field. Finally, based on the Mscore of an individual, his/her research contributions are graded using the OEVGSI (Outstanding, Excellent, Very Good, Good, Sufficient and Insufficient) grading system. The significance of context-specific M-score has been proved with the help of a sample dataset taken from Google Scholar.

Keywords


Bibliometrics, Mock H-Index, M-Score, Scientometrics.



DOI: https://doi.org/10.18520/cs%2Fv109%2Fi3%2F596-600