IDEAS home Printed from https://ideas.repec.org/a/eee/infome/v13y2019i2p540-554.html
   My bibliography  Save this article

The value and credits of n-authors publications

Author

Listed:
  • Bornmann, Lutz
  • Osório, António

Abstract

Collaboration among researchers is becoming increasingly common, which raises a large number of scientometrics questions for which there is not a clear and generally accepted answer. For instance, what value should be given to a two-author or three-author publication with respect to a single-author publication? This paper uses axiomatic analysis and proposes a practical method to compute the expected value of an n-authors publication that takes into consideration the added value induced by collaboration in contexts in which there is no prior or ex-ante information about the publication's potential merits or scientific impact. The only information required is the number of authors. We compared the obtained theoretical values with the empirical values based on a large dataset from the Web of Science database. We found that the theoretical values are very close to the empirical values for some disciplines, but not for all. This observation provides support in favor of the method proposed in this paper. We expect that our findings can help researchers and decision-makers to choose more effective and fair counting methods that take into account the benefits of collaboration.

Suggested Citation

  • Bornmann, Lutz & Osório, António, 2019. "The value and credits of n-authors publications," Journal of Informetrics, Elsevier, vol. 13(2), pages 540-554.
  • Handle: RePEc:eee:infome:v:13:y:2019:i:2:p:540-554
    DOI: 10.1016/j.joi.2019.03.001
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1751157718301056
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.joi.2019.03.001?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Osório, António (António Miguel) & Bornmann, Lutz, 2020. "On the disruptive power of small-teams research," Working Papers 2072/417677, Universitat Rovira i Virgili, Department of Economics.
    2. Simoes, Nadia & Crespo, Nuno, 2020. "Self-Citations and scientific evaluation: Leadership, influence, and performance," Journal of Informetrics, Elsevier, vol. 14(1).
    3. Lawrence Smolinsky & Daniel S. Sage & Aaron J. Lercher & Aaron Cao, 2021. "Citations versus expert opinions: citation analysis of featured reviews of the American Mathematical Society," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(5), pages 3853-3870, May.
    4. João M. Fernandes & Paulo Cortez, 2020. "Alphabetic order of authors in scholarly publications: a bibliometric study for 27 scientific fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2773-2792, December.
    5. Aman, Valeria & Besselaar, Peter van den, 2024. "Authorship regulations in performance-based funding systems and publication behaviour – A case study of German medical faculties," Journal of Informetrics, Elsevier, vol. 18(2).
    6. António Osório & Lutz Bornmann, 2021. "On the disruptive power of small-teams research," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 117-133, January.
    7. Siying Li & Huawei Shen & Peng Bao & Xueqi Cheng, 2021. "$$h_u$$ h u -index: a unified index to quantify individuals across disciplines," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 3209-3226, April.

    More about this item

    Keywords

    Co-authorship; Counting methods; Publication value; Axiomatic analysis; Bibliometrics;
    All these keywords.

    JEL classification:

    • C65 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Miscellaneous Mathematical Tools
    • D04 - Microeconomics - - General - - - Microeconomic Policy: Formulation; Implementation; Evaluation

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:infome:v:13:y:2019:i:2:p:540-554. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/joi .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.