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EM-index: a new measure to evaluate the scientific impact of scientists

Author

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  • Anand Bihari

    (National Institute of Technology Patna)

  • Sudhakar Tripathi

    (National Institute of Technology Patna)

Abstract

During the last decade, several scientometrics as well as bibliometrics indices were proposed to quantify the scientific impact of individual. The h-index gives a breakthrough in scientific evaluation, but this index suffers with big hit problem, i.e., once a paper is selected in h-core publication, further citation of h-core articles is not considered in scientific evaluation. To overcome this limitation of h-index, the e-index was proposed, but it does not consider the core citation count. It considers only the excess citation count. To overcome this limitation, the EM-index is proposed in this article. The EM-index is the extension of h-index and e-index, which uses the concept of multidimensional h-index. The EM-index uses all citation counts of h-core articles at multi-level to quantify the scientific impact of the individual. But this index does not consider all publication citations. To overcome this limitation of EM-index a multidimensional extension of the EM-index is also proposed called EM′-index. To validate the proposed indicators, an experimental analysis has been done on 82 scientist’s publication citation count, who are working in scientiometrics field. In such a way, we found a more balanced and fine-grained approach to evaluate the scientific impact of individual as well as to compare the scientific impact of two different researchers/scientists.

Suggested Citation

  • Anand Bihari & Sudhakar Tripathi, 2017. "EM-index: a new measure to evaluate the scientific impact of scientists," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(1), pages 659-677, July.
    • Handle: RePEc:spr:scient:v:112:y:2017:i:1:d:10.1007_s11192-017-2379-x
    DOI: 10.1007/s11192-017-2379-x
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    References listed on IDEAS

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    1. Gangan Prathap, 2010. "Is there a place for a mock h-index?," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(1), pages 153-165, July.
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    3. Pablo Dorta-González & María-Isabel Dorta-González, 2011. "Central indexes to the citation distribution: a complement to the h-index," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(3), pages 729-745, September.
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    7. Alonso, S. & Cabrerizo, F.J. & Herrera-Viedma, E. & Herrera, F., 2009. "h-Index: A review focused in its variants, computation and standardization for different scientific fields," Journal of Informetrics, Elsevier, vol. 3(4), pages 273-289.
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    Citations

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    Cited by:

    1. Bai, Xiaomei & Zhang, Fuli & Liu, Jiaying & Xia, Feng, 2023. "Quantifying the impact of scientific collaboration and papers via motif-based heterogeneous networks," Journal of Informetrics, Elsevier, vol. 17(2).
    2. Anand Bihari & Sudhakar Tripathi & Akshay Deepak, 2021. "Iterative weighted EM and iterative weighted EM′-index for scientific assessment of scholars," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 5551-5568, July.
    3. Anand Bihari & Sudhakar Tripathi, 2018. "Year based EM-index: a new approach to evaluate the scientific impact of scholars," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(3), pages 1175-1205, March.
    4. Xiaomei Bai & Fuli Zhang & Jinzhou Li & Zhong Xu & Zeeshan Patoli & Ivan Lee, 2021. "Quantifying scientific collaboration impact by exploiting collaboration-citation network," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(9), pages 7993-8008, September.
    5. Wei, Shelia X. & Tong, Tong & Rousseau, Ronald & Wang, Wanru & Ye, Fred Y., 2022. "Relations among the h-, g-, ψ-, and p-index and offset-ability," Journal of Informetrics, Elsevier, vol. 16(4).
    6. Zhou Chunlei & Kong Xiangyi & Lin Zhipeng, 2019. "Research on Derek John de Solla Price Medal Prediction Based on Academic Credit Analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(1), pages 159-175, January.
    7. Shaibu Mohammed & Emmanuel K. Nyantakyi & Anthony Morgan & Prosper Anumah & Justice Sarkodie-kyeremeh, 2021. "Use of relative extra citation counts and uncited publications to enhance the discriminatory power of the h-index," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 181-199, January.

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