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Measuring co-authors’ contribution to an article’s visibility

Author

Listed:
  • Leo Egghe

    (Universiteit Hasselt (UHasselt)
    Universiteit Antwerpen (UA), IBW)

  • Raf Guns

    (Universiteit Antwerpen (UA), IBW)

  • Ronald Rousseau

    (Universiteit Antwerpen (UA), IBW
    KHBO (Association KU Leuven)
    KU Leuven)

Abstract

The visibility of an article depends to a large extent on its authors. We study the question how each co-author’s relative contribution to the visibility of the article can be determined and quantified using an indicator, referring to such an indicator as a CAV-indicator. A two-step procedure is elaborated, whereby one first chooses an indicator (e.g. total number of citations, h-index …) and subsequently one of two possible approaches. The case where the indicator is an h-type index is elaborated in a Lotkaian framework. Different examples illustrate the procedure and the choices involved in determining a CAV-indicator.

Suggested Citation

  • Leo Egghe & Raf Guns & Ronald Rousseau, 2013. "Measuring co-authors’ contribution to an article’s visibility," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(1), pages 55-67, April.
    • Handle: RePEc:spr:scient:v:95:y:2013:i:1:d:10.1007_s11192-012-0832-4
    DOI: 10.1007/s11192-012-0832-4
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    References listed on IDEAS

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    1. J. E. Hirsch, 2010. "An index to quantify an individual’s scientific research output that takes into account the effect of multiple coauthorship," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(3), pages 741-754, December.
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    6. Leo Egghe & Ronald Rousseau, 2006. "An informetric model for the Hirsch-index," Scientometrics, Springer;Akadémiai Kiadó, vol. 69(1), pages 121-129, October.
    7. Richard S.J. Tol, 2009. "The Matthew effect defined and tested for the 100 most prolific economists," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(2), pages 420-426, February.
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    9. Paul F. Skilton, 2009. "Does the human capital of teams of natural science authors predict citation frequency?," Scientometrics, Springer;Akadémiai Kiadó, vol. 78(3), pages 525-542, March.
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    Cited by:

    1. Simoes, Nadia & Crespo, Nuno, 2020. "Self-Citations and scientific evaluation: Leadership, influence, and performance," Journal of Informetrics, Elsevier, vol. 14(1).
    2. Clément Bosquet & Pierre-Philippe Combes, 2013. "Are academics who publish more also more cited? Individual determinants of publication and citation records," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(3), pages 831-857, December.
    3. Yadav, Anil & McHale, John & O'Neill, Stephen, 2023. "How does co-authoring with a star affect scientists' productivity? Evidence from small open economies," Research Policy, Elsevier, vol. 52(1).
    4. Matteo Cinelli & Giovanna Ferraro & Antonio Iovanella, 2022. "Connections matter: a proxy measure for evaluating network membership with an application to the Seventh Research Framework Programme," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(7), pages 3959-3976, July.
    5. Liao, Chien Hsiang, 2021. "The Matthew effect and the halo effect in research funding," Journal of Informetrics, Elsevier, vol. 15(1).

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