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Big fish and small ponds: why the departmental h-index should not be used to rank universities

Author

Listed:
  • O. Mryglod

    (Institute for Condensed Matter Physics of the National Academy of Sciences of Ukraine
    L4 Collaboration & Doctoral College for the Statistical Physics of Complex Systems)

  • Yu. Holovatch

    (Institute for Condensed Matter Physics of the National Academy of Sciences of Ukraine
    L4 Collaboration & Doctoral College for the Statistical Physics of Complex Systems
    Coventry University)

  • R. Kenna

    (L4 Collaboration & Doctoral College for the Statistical Physics of Complex Systems
    Coventry University)

Abstract

The size-dependent nature of the so-called group or departmental h-index is reconsidered in this paper. While the influence of unit size on such collective measures was already demonstrated a decade ago, institutional ratings based on this metric can still be found and still impact on the reputations and funding of many research institutions. The aim of this paper is to demonstrate the fallacy of this approach to collective research-quality assessment in a simple way, focusing on the h-index in its original form. We show that randomly reshuffling real scientometric data (varying numbers of citations) amongst institutions of varying size, while maintaining the volume of their research outputs, has little effect on their departmental h-index. This suggests that the relative position in ratings based on the collective h-index is determined not only by quality (impact) of particular research outputs but by their volume. Therefore, the application of the collective h-index in its original form is disputable as a basement for comparison at aggregated levels such as to research groups, institutions or journals. We suggest a possible remedy for this failing which is implementable in a manner that is as simple and understandable as the h-index itself.

Suggested Citation

  • O. Mryglod & Yu. Holovatch & R. Kenna, 2022. "Big fish and small ponds: why the departmental h-index should not be used to rank universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(6), pages 3279-3292, June.
  • Handle: RePEc:spr:scient:v:127:y:2022:i:6:d:10.1007_s11192-022-04373-y
    DOI: 10.1007/s11192-022-04373-y
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    References listed on IDEAS

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    1. Jean-Francois Molinari & Alain Molinari, 2008. "A new methodology for ranking scientific institutions," Scientometrics, Springer;Akadémiai Kiadó, vol. 75(1), pages 163-174, April.
    2. Leo Egghe & Ronald Rousseau, 2006. "An informetric model for the Hirsch-index," Scientometrics, Springer;Akadémiai Kiadó, vol. 69(1), pages 121-129, October.
    3. Ludo Waltman & Nees Jan van Eck, 2012. "The inconsistency of the h‐index," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(2), pages 406-415, February.
    4. Juan A Crespo & Ignacio Ortuño-Ortín & Javier Ruiz-Castillo, 2012. "The Citation Merit of Scientific Publications," PLOS ONE, Public Library of Science, vol. 7(11), pages 1-9, November.
    5. Schubert, András & Glänzel, Wolfgang, 2007. "A systematic analysis of Hirsch-type indices for journals," Journal of Informetrics, Elsevier, vol. 1(3), pages 179-184.
    6. O. Mryglod & R. Kenna & Yu. Holovatch & B. Berche, 2013. "Absolute and specific measures of research group excellence," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(1), pages 115-127, April.
    7. Maziar Montazerian & Edgar Dutra Zanotto & Hellmut Eckert, 2019. "A new parameter for (normalized) evaluation of H-index: countries as a case study," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 1065-1078, March.
    8. 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.
    9. Lutz Bornmann & Werner Marx, 2020. "Thomas theorem in research evaluation," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(1), pages 553-555, April.
    10. Fred Y. Ye, 2009. "An investigation on mathematical models of the h-index," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(2), pages 493-498, November.
    11. R. Kenna & B. Berche, 2011. "Critical mass and the dependency of research quality on group size," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(2), pages 527-540, February.
    12. 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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