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Simulating growth of the h‐index

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  • Raf Guns
  • Ronald Rousseau

Abstract

Temporal growth of the h‐index in a diachronous cumulative time series is predicted to be linear by Hirsch (2005), whereas other models predict a concave increase. Actual data generally yield a linear growth or S‐shaped growth. We study the h‐index's growth in computer simulations of the publication‐citation process. In most simulations the h‐index grows linearly in time. Only occasionally does an S‐shape occur, while in our simulations a concave increase is very rare. The latter is often signalled by the occurrence of plateaus—periods of h‐index stagnation. Several parameters and their influence on the h‐index's growth are determined and discussed.

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  • Raf Guns & Ronald Rousseau, 2009. "Simulating growth of the h‐index," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(2), pages 410-417, February.
    • Handle: RePEc:bla:jamist:v:60:y:2009:i:2:p:410-417
    DOI: 10.1002/asi.20973
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    Cited by:

    1. Basso, Antonella & di Tollo, Giacomo, 2022. "Prediction of UK research excellence framework assessment by the departmental h-index," European Journal of Operational Research, Elsevier, vol. 296(3), pages 1036-1049.
    2. Tokmachev, Andrey M., 2023. "Hidden scales in statistics of citation indicators," Journal of Informetrics, Elsevier, vol. 17(1).

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