IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v126y2021i7d10.1007_s11192-021-03937-8.html
   My bibliography  Save this article

Iterative weighted EM and iterative weighted EM′-index for scientific assessment of scholars

Author

Listed:
  • Anand Bihari

    (Department of Software and System Engineering, School of Information Technology and Engineering, Vellore Institute of Technology)

  • Sudhakar Tripathi

    (R. E. C. Ambedkar Nagar)

  • Akshay Deepak

    (National Institute of Technology Patna)

Abstract

In the field of scientific assessment of scholars, there were several metrics has been given by the scholars. From the list of indices, the h-index is widely accepted for the scientific evaluation of scholars. However, the h-index has several limitations, especially in the case of consideration of excess citation count. In this context, the e-index and EM-index have been proposed. The e-index only considers the excess citation count, while the EM-index considers both core and excess citation count. “The EM-index is the square root of the sum of the EM-index component”. In this index, every component has equal importance. But how can we consider every component equally? The first element and the 100th elements can not be identical. This article discussed the iterative weighted EM-index to address this issue. To consider the impact of all cited atricles, the multidimensional h-index and the $$EM^{\prime}$$ E M ′ -index were proposed. The multidimensional h-index has not considered the excess citation count and also not come up with any global index value. The $$EM^{\prime}$$ E M ′ -index overcomes this issue, but this index follows the same pattern as the EM-index suffers. Further to accomplish the above-discussed issue, the iterative weighted $$EM^{\prime}$$ E M ′ -index also discussed in this article. An empirical study has been performed on 82 scholars’ publications and citation data. From the empirical research, we concluded that this could be an effective solution in the scientific assessment of scholars.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:scient:v:126:y:2021:i:7:d:10.1007_s11192-021-03937-8
    DOI: 10.1007/s11192-021-03937-8
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-021-03937-8
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11192-021-03937-8?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Leo Egghe, 2006. "Theory and practise of the g-index," Scientometrics, Springer;Akadémiai Kiadó, vol. 69(1), pages 131-152, October.
    2. Gangan Prathap, 2010. "Is there a place for a mock h-index?," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(1), pages 153-165, July.
    3. Jerome K. Vanclay, 2007. "On the robustness of the h‐index," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 58(10), pages 1547-1550, August.
    4. Roberto Todeschini, 2011. "The j-index: a new bibliometric index and multivariate comparisons between other common indices," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(3), pages 621-639, June.
    5. 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.
    6. Thed N. Van Leeuwen & Martijn S. Visser & Henk F. Moed & Ton J. Nederhof & Anthony F. J. Van Raan, 2003. "The Holy Grail of science policy: Exploring and combining bibliometric tools in search of scientific excellence," Scientometrics, Springer;Akadémiai Kiadó, vol. 57(2), pages 257-280, June.
    7. Chun-Ting Zhang, 2009. "The e-Index, Complementing the h-Index for Excess Citations," PLOS ONE, Public Library of Science, vol. 4(5), pages 1-4, May.
    8. Thomas R. Anderson & Robin K. S. Hankin & Peter D. Killworth, 2008. "Beyond the Durfee square: Enhancing the h-index to score total publication output," Scientometrics, Springer;Akadémiai Kiadó, vol. 76(3), pages 577-588, September.
    9. Costas, Rodrigo & Bordons, María, 2007. "The h-index: Advantages, limitations and its relation with other bibliometric indicators at the micro level," Journal of Informetrics, Elsevier, vol. 1(3), pages 193-203.
    10. Leo Egghe, 2007. "Dynamic h‐index: The Hirsch index in function of time," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 58(3), pages 452-454, February.
    11. 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.
    12. Ronald Rousseau & Fred Y. Ye, 2008. "A proposal for a dynamic h‐type index," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(11), pages 1853-1855, September.
    13. 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.
    14. Schreiber, Michael, 2008. "A modification of the h-index: The hm-index accounts for multi-authored manuscripts," Journal of Informetrics, Elsevier, vol. 2(3), pages 211-216.
    15. Lutz Bornmann & Hans‐Dieter Daniel, 2007. "What do we know about the h index?," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 58(9), pages 1381-1385, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Lorna Wildgaard & Jesper W. Schneider & Birger Larsen, 2014. "A review of the characteristics of 108 author-level bibliometric indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 125-158, October.
    3. 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).
    4. 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.
    5. Chen, Meiqian & Guo, Zhaoxia & Dong, Yucheng & Chiclana, Francisco & Herrera-Viedma, Enrique, 2021. "Citations optimal growth path: A tool to analyze sensitivity to citations of h-like indexes," Journal of Informetrics, Elsevier, vol. 15(4).
    6. J. E. Hirsch, 2019. "hα: An index to quantify an individual’s scientific leadership," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(2), pages 673-686, February.
    7. Franceschini, Fiorenzo & Maisano, Domenico, 2010. "The citation triad: An overview of a scientist's publication output based on Ferrers diagrams," Journal of Informetrics, Elsevier, vol. 4(4), pages 503-511.
    8. Brandão, Luana Carneiro & Soares de Mello, João Carlos Correia Baptista, 2019. "A multi-criteria approach to the h-index," European Journal of Operational Research, Elsevier, vol. 276(1), pages 357-363.
    9. 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.
    10. Roberto Todeschini, 2011. "The j-index: a new bibliometric index and multivariate comparisons between other common indices," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(3), pages 621-639, June.
    11. Giovanni Anania & Annarosa Caruso, 2013. "Two simple new bibliometric indexes to better evaluate research in disciplines where publications typically receive less citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(2), pages 617-631, August.
    12. Bornmann, Lutz & Mutz, Rüdiger & Hug, Sven E. & Daniel, Hans-Dieter, 2011. "A multilevel meta-analysis of studies reporting correlations between the h index and 37 different h index variants," Journal of Informetrics, Elsevier, vol. 5(3), pages 346-359.
    13. van Eck, Nees Jan & Waltman, Ludo, 2008. "Generalizing the h- and g-indices," Journal of Informetrics, Elsevier, vol. 2(4), pages 263-271.
    14. Ana Paula dos Santos Rubem & Ariane Lima Moura & João Carlos Correia Baptista Soares de Mello, 2015. "Comparative analysis of some individual bibliometric indices when applied to groups of researchers," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 1019-1035, January.
    15. Sidiropoulos, A. & Gogoglou, A. & Katsaros, D. & Manolopoulos, Y., 2016. "Gazing at the skyline for star scientists," Journal of Informetrics, Elsevier, vol. 10(3), pages 789-813.
    16. Fiorenzo Franceschini & Domenico Maisano & Anna Perotti & Andrea Proto, 2010. "Analysis of the ch-index: an indicator to evaluate the diffusion of scientific research output by citers," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(1), pages 203-217, October.
    17. Zhang, Lin & Thijs, Bart & Glänzel, Wolfgang, 2011. "The diffusion of H-related literature," Journal of Informetrics, Elsevier, vol. 5(4), pages 583-593.
    18. 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.
    19. 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.
    20. Deming Lin & Tianhui Gong & Wenbin Liu & Martin Meyer, 2020. "An entropy-based measure for the evolution of h index research," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2283-2298, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:scient:v:126:y:2021:i:7:d:10.1007_s11192-021-03937-8. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.