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Fractional counts for authorship attribution: A numerical study

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  • Quentin Burrell
  • Ronald Rousseau

Abstract

Responding to Leimkuhler's call for more computer experimentation in informetrics, this numerical study aims to illustrate observed appearances of fractional counts graphs. For instance, assuming a Lotka distribution for articles per author, it shows that for fields in which the single‐author article dominates, a maximum value will always occur at one. However, in fields where the multiauthored article dominates, this maximum may be smaller than one. © 1995 John Wiley & Sons, Inc.

Suggested Citation

  • Quentin Burrell & Ronald Rousseau, 1995. "Fractional counts for authorship attribution: A numerical study," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 46(2), pages 97-102, March.
    • Handle: RePEc:bla:jamest:v:46:y:1995:i:2:p:97-102
    DOI: 10.1002/(SICI)1097-4571(199503)46:23.0.CO;2-L
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    Cited by:

    1. Jonathan M. Levitt & Mike Thelwall, 2016. "Long term productivity and collaboration in information science," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(3), pages 1103-1117, September.
    2. Henk F. Moed, 2000. "Bibliometric Indicators Reflect Publication and Management Strategies," Scientometrics, Springer;Akadémiai Kiadó, vol. 47(2), pages 323-346, February.
    3. Ross W. K. Potter & Martin Szomszor & Jonathan Adams, 2022. "Comparing standard, collaboration and fractional CNCI at the institutional level: Consequences for performance evaluation," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7435-7448, December.
    4. Jingda Ding & Chao Liu & Qiao Zheng & Wei Cai, 2021. "A new method of co-author credit allocation based on contributor roles taxonomy: proof of concept and evaluation using papers published in PLOS ONE," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(9), pages 7561-7581, September.

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