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Distinctive author ranking using DEA indexing

Author

Listed:
  • Avick Kumar Dey

    (National Institute of Technology)

  • Pijush Kanti Dutta Pramanik

    (National Institute of Technology)

  • Prasenjit Choudhury

    (National Institute of Technology)

  • Goutam Bandopadhyay

    (National Institute of Technology)

Abstract

The productivity and impact of a researcher can be measured by considering the total number of articles authored by him/her and corresponding citations. Several techniques exist to evaluate the cumulative impact of the author’s scholarly output & performance by comparing publications to citations. However, all of them fail to rank each author uniquely, resulting in the same index value assigned to two or more authors, although they have diverse citation patterns. In some indexing, beyond a certain number of citations of a particular article, the subsequent citations do not add any value to the overall indexing. In this paper, a new indexing scheme, based on data envelopment analysis, is proposed which ensures the unique ranking by identifying the different index values of the authors who have even a minimal difference in the citation pattern. Furthermore, the proposed scheme ensures that every citation will have impact without any ceiling. The index is applied to a consistent data set having publications data of the last 40 years in the field of Computer Science. The outcome, when compared with the existing metrics, confirms that the proposed index provides more effective results by ranking authors distinctively.

Suggested Citation

  • Avick Kumar Dey & Pijush Kanti Dutta Pramanik & Prasenjit Choudhury & Goutam Bandopadhyay, 2021. "Distinctive author ranking using DEA indexing," Quality & Quantity: International Journal of Methodology, Springer, vol. 55(2), pages 601-620, April.
    • Handle: RePEc:spr:qualqt:v:55:y:2021:i:2:d:10.1007_s11135-020-01018-1
    DOI: 10.1007/s11135-020-01018-1
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    References listed on IDEAS

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    1. Leo Egghe, 2006. "Theory and practise of the g-index," Scientometrics, Springer;Akadémiai Kiadó, vol. 69(1), pages 131-152, October.
    2. Giuffrida, Cristiano & Abramo, Giovanni & D’Angelo, Ciriaco Andrea, 2019. "Are all citations worth the same? Valuing citations by the value of the citing items," Journal of Informetrics, Elsevier, vol. 13(2), pages 500-514.
    3. Hildrun Kretschmer & Ronald Rousseau, 2001. "Author inflation leads to a breakdown of Lotka's law," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 52(8), pages 610-614.
    4. Abrishami, Ali & Aliakbary, Sadegh, 2019. "Predicting citation counts based on deep neural network learning techniques," Journal of Informetrics, Elsevier, vol. 13(2), pages 485-499.
    5. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    6. Shen, Si & Zhu, Danhao & Rousseau, Ronald & Su, Xinning & Wang, Dongbo, 2019. "A refined method for computing bibliographic coupling strengths," Journal of Informetrics, Elsevier, vol. 13(2), pages 605-615.
    7. Judit Bar-Ilan, 2008. "Which h-index? — A comparison of WoS, Scopus and Google Scholar," Scientometrics, Springer;Akadémiai Kiadó, vol. 74(2), pages 257-271, February.
    8. Halevi, Gali & Moed, Henk & Bar-Ilan, Judit, 2017. "Suitability of Google Scholar as a source of scientific information and as a source of data for scientific evaluation—Review of the Literature," Journal of Informetrics, Elsevier, vol. 11(3), pages 823-834.
    9. Park, Hyoungjoo & Wolfram, Dietmar, 2019. "Research software citation in the Data Citation Index: Current practices and implications for research software sharing and reuse," Journal of Informetrics, Elsevier, vol. 13(2), pages 574-582.
    10. Ludo Waltman & Nees Jan van Eck, 2012. "The inconsistency of the h-index," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(2), pages 406-415, February.
    11. Li, Kai & Chen, Pei-Ying & Yan, Erjia, 2019. "Challenges of measuring software impact through citations: An examination of the lme4 R package," Journal of Informetrics, Elsevier, vol. 13(1), pages 449-461.
    12. Raymond L. Raab & Richard W. Lichty, 2002. "Identifying Subareas That Comprise A Greater Metropolitan Area: The Criterion of County Relative Efficiency," Journal of Regional Science, Wiley Blackwell, vol. 42(3), pages 579-594, August.
    13. 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.
    14. El-Mahgary, Sami & Lahdelma, Risto, 1995. "Data envelopment analysis: Visualizing the results," European Journal of Operational Research, Elsevier, vol. 83(3), pages 700-710, June.
    15. Brito, Ricardo & Rodríguez-Navarro, Alonso, 2019. "Evaluating research and researchers by the journal impact factor: Is it better than coin flipping?," Journal of Informetrics, Elsevier, vol. 13(1), pages 314-324.
    16. Zuo, Zhiya & Zhao, Kang & Ni, Chaoqun, 2019. "Standing on the shoulders of giants?—Faculty hiring in information schools," Journal of Informetrics, Elsevier, vol. 13(1), pages 341-353.
    17. Kousha, Kayvan & Thelwall, Mike, 2019. "Can Google Scholar and Mendeley help to assess the scholarly impacts of dissertations?," Journal of Informetrics, Elsevier, vol. 13(2), pages 467-484.
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