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Multiple versions of the h-index: cautionary use for formal academic purposes

Author

Listed:
  • Jaime A. Teixeira da Silva
  • Judit Dobránszki

    (University of Debrecen)

Abstract

The h-index, or Hirsch index, named after Jorge E. Hirsch, is one of the few author-based metrics currently available that offers a perspective of the productivity and citation impact of a scientist, researcher, or academic. There are four tools most commonly used to calculate the h-index, all of which depend on separate databases: Scopus, Web of Knowledge, Google Scholar, and ResearchGate. Using the h-index of the authors of this paper derived from these four sources, it is abundantly clear that scores vary widely and that it is unclear which of these sources is a reliable or accurate source of information, for any purpose. As the use and application of author-based metrics increases, including for official academic purposes, it is becoming increasingly important to know which source of the h-index is most accurate, and thus valid. Although this is not a review of the h-index, some perspectives are provided of the h-index-related literature to place this case study within a wider context of the weaknesses and criticisms of using the h-index as a metric to evaluate scientific outcome.

Suggested Citation

  • Jaime A. Teixeira da Silva & Judit Dobránszki, 2018. "Multiple versions of the h-index: cautionary use for formal academic purposes," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(2), pages 1107-1113, May.
    • Handle: RePEc:spr:scient:v:115:y:2018:i:2:d:10.1007_s11192-018-2680-3
    DOI: 10.1007/s11192-018-2680-3
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    References listed on IDEAS

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    4. Jaime A. Teixeira da Silva & Judit Dobránszki, 2017. "Highly cited retracted papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(3), pages 1653-1661, March.
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    6. Jaime A. Teixeira da Silva & Helmar Bornemann-Cimenti, 2017. "Why do some retracted papers continue to be cited?," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(1), pages 365-370, January.
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    1. Judit Dobránszki & Jaime A. Teixeira da Silva, 2019. "Corrective factors for author- and journal-based metrics impacted by citations to accommodate for retractions," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(1), pages 387-398, October.
    2. Alonso Rodríguez-Navarro & Ricardo Brito, 2019. "Probability and expected frequency of breakthroughs: basis and use of a robust method of research assessment," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(1), pages 213-235, April.
    3. Johanna M. Askeridis, 2018. "An h index for Mendeley: comparison of citation-based h indices and a readership-based hmen index for 29 authors," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(1), pages 615-624, October.
    4. Lauranne Chaignon & Domingo Docampo & Daniel Egret, 2023. "In search of a scientific elite: highly cited researchers (HCR) in France," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(10), pages 5801-5827, October.
    5. Jaime A. Teixeira da Silva & Judit Dobránszki, 2018. "Rejoinder to “Multiple versions of the h-index: cautionary use for formal academic purposes”," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(2), pages 1131-1137, May.
    6. Rodrigo Costas & Thomas Franssen, 2018. "Reflections around ‘the cautionary use’ of the h-index: response to Teixeira da Silva and Dobránszki," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(2), pages 1125-1130, May.
    7. Guangyuan Hu & Lei Wang & Rong Ni & Weishu Liu, 2020. "Which h-index? An exploration within the Web of Science," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(3), pages 1225-1233, June.
    8. Pantea Kamrani & Isabelle Dorsch & Wolfgang G. Stock, 2021. "Do researchers know what the h-index is? And how do they estimate its importance?," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 5489-5508, July.
    9. Jaime A. Teixeira da Silva, 2018. "The Google Scholar h-index: useful but burdensome metric," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(1), pages 631-635, October.
    10. Lutz Bornmann & Loet Leydesdorff, 2018. "Count highly-cited papers instead of papers with h citations: use normalized citation counts and compare “like with like”!," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(2), pages 1119-1123, May.
    11. Haoran Zhu & Lei Lei, 2022. "The Research Trends of Text Classification Studies (2000–2020): A Bibliometric Analysis," SAGE Open, , vol. 12(2), pages 21582440221, April.
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