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The influence of transformations on the h‐index and the g‐index

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  • L. Egghe

Abstract

In a previous article, we introduced a general transformation on sources and one on items in an arbitrary information production process (IPP). In this article, we investigate the influence of these transformations on the h‐index and on the g‐index. General formulae that describe this influence are presented. These are applied to the case that the size‐frequency function is Lotkaian (i.e., is a decreasing power function). We further show that the h‐index of the transformed IPP belongs to the interval bounded by the two transformations of the h‐index of the original IPP, and we also show that this property is not true for the g‐index.

Suggested Citation

  • L. Egghe, 2008. "The influence of transformations on the h‐index and the g‐index," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(8), pages 1304-1312, June.
    • Handle: RePEc:bla:jamist:v:59:y:2008:i:8:p:1304-1312
    DOI: 10.1002/asi.20823
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    Cited by:

    1. 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).
    2. Parul Khurana & Kiran Sharma, 2022. "Impact of h-index on author’s rankings: an improvement to the h-index for lower-ranked authors," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(8), pages 4483-4498, August.
    3. João Mateus Freitas Veneroso & Marlon Dias & Alberto Ueda & Sabir Ribas & Berthier Ribeiro-Neto & Nivio Ziviani & Edmundo Souza e Silva, 2019. "P-score: a reputation bibliographic index that complements citation counts," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(3), pages 1269-1291, December.

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