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The individual author’s publication–citation process: theory and practice

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  • Quentin L. Burrell

    (Centre for R&D Monitoring (ECOOM), KU Leuven)

Abstract

The model proposed by Burrell (Information Processing and Management 28:637–645, 1992, Journal of Informetrics 1:16–25, 2007a) to describe the way that an individual author’s publication/citation career develops in time is investigated further, the aim being to describe in more detail the form of the citation distribution and the way it evolves over time. Both relative and actual frequency distributions are considered. Theoretical aspects are developed analytically and graphically and then illustrated using small empirical data sets relating to some well-known informetrics scholars. Perhaps surprisingly, it is found that the distribution may well be approximated in some cases by a simple geometric distribution.

Suggested Citation

  • Quentin L. Burrell, 2014. "The individual author’s publication–citation process: theory and practice," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(1), pages 725-742, January.
  • Handle: RePEc:spr:scient:v:98:y:2014:i:1:d:10.1007_s11192-013-1018-4
    DOI: 10.1007/s11192-013-1018-4
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    References listed on IDEAS

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    Cited by:

    1. Lucio Barabesi & Carolina Becatti & Marzia Marcheselli, 2018. "The Tempered Discrete Linnik distribution," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 27(1), pages 45-68, March.
    2. Cena, Anna & Gagolewski, Marek & Siudem, Grzegorz & Żogała-Siudem, Barbara, 2022. "Validating citation models by proxy indices," Journal of Informetrics, Elsevier, vol. 16(2).
    3. Bertoli-Barsotti, Lucio & Lando, Tommaso, 2019. "How mean rank and mean size may determine the generalised Lorenz curve: With application to citation analysis," Journal of Informetrics, Elsevier, vol. 13(1), pages 387-396.

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