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Alphabetic order of authors in scholarly publications: a bibliometric study for 27 scientific fields

Author

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  • João M. Fernandes

    (University of Minho)

  • Paulo Cortez

    (University of Minho)

Abstract

Paper authorship and author placement have significant consequences for accountability and assignment of credit. Moreover, authors in different scientific fields tend to follow distinct approaches towards their ordering in scholarly publications. This manuscript presents a bibliometric study aiming to characterize the trends in the adoption of alphabetically ordered lists of authors in scholarly publications for 27 scientific fields. The study is supported by two different datasets (with 83 and 32 thousand papers that have two or more authors) and uses two indicators that measure the degree of order of the authors list of a set of articles. The main results show that three fields (Economics; Mathematics; and Business, Management and Accounting) have a strong alphabetic ordering usage, while other five scientific areas present some tendency to use lists of authors in alphabetic order.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:scient:v:125:y:2020:i:3:d:10.1007_s11192-020-03686-0
    DOI: 10.1007/s11192-020-03686-0
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    References listed on IDEAS

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    1. Hagen, Nils T., 2014. "Counting and comparing publication output with and without equalizing and inflationary bias," Journal of Informetrics, Elsevier, vol. 8(2), pages 310-317.
    2. João M. Fernandes, 2014. "Authorship trends in software engineering," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 257-271, October.
    3. João M. Fernandes & Miguel P. Monteiro, 2017. "Evolution in the number of authors of computer science publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 529-539, February.
    4. Dorte Henriksen, 2016. "The rise in co-authorship in the social sciences (1980–2013)," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(2), pages 455-476, May.
    5. Wolfgang Glänzel & Balázs Schlemmer & András Schubert & Bart Thijs, 2006. "Proceedings literature as additional data source for bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 68(3), pages 457-473, September.
    6. Olle Persson & Wolfgang Glänzel & Rickard Danell, 2004. "Inflationary bibliometric values: The role of scientific collaboration and the need for relative indicators in evaluative studies," Scientometrics, Springer;Akadémiai Kiadó, vol. 60(3), pages 421-432, August.
    7. Matthias Weber, 2018. "The effects of listing authors in alphabetical order: A review of the empirical evidence," Research Evaluation, Oxford University Press, vol. 27(3), pages 238-245.
    8. Ch Peidu, 2019. "Can authors’ position in the ascription be a measure of dominance?," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(3), pages 1527-1547, December.
    9. Xiaojun Hu, 2009. "Loads of special authorship functions: Linear growth in the percentage of “equal first authors” and corresponding authors," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(11), pages 2378-2381, November.
    10. Boris Maciejovsky & David V. Budescu & Dan Ariely, 2009. "—The Researcher as a Consumer of Scientific Publications: How Do Name-Ordering Conventions Affect Inferences About Contribution Credits?," Marketing Science, INFORMS, vol. 28(3), pages 589-598, 05-06.
    11. Mott Greene, 2007. "The demise of the lone author," Nature, Nature, vol. 450(7173), pages 1165-1165, December.
    12. Frandsen, Tove Faber & Nicolaisen, Jeppe, 2010. "What is in a name? Credit assignment practices in different disciplines," Journal of Informetrics, Elsevier, vol. 4(4), pages 608-617.
    13. Frank J. Trueba & Héctor Guerrero, 2004. "A robust formula to credit authors for their publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 60(2), pages 181-204, June.
    14. Cynthia Lisée & Vincent Larivière & Éric Archambault, 2008. "Conference proceedings as a source of scientific information: A bibliometric analysis," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(11), pages 1776-1784, September.
    15. Waltman, Ludo, 2012. "An empirical analysis of the use of alphabetical authorship in scientific publishing," Journal of Informetrics, Elsevier, vol. 6(4), pages 700-711.
    16. Bornmann, Lutz & Osório, António, 2019. "The value and credits of n-authors publications," Journal of Informetrics, Elsevier, vol. 13(2), pages 540-554.
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    Cited by:

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    2. Kerri Betts & Louise Creechan & Rosemarie Cawkwell & Isabelle Finn‐Kelcey & C. J. Griffin & Alice Hagopian & David Hartley & Marie Adrienne R. Manalili & Inika Murkumbi & Sarinah O’Donoghue & Cassandr, 2023. "Neurodiversity, Networks, and Narratives: Exploring Intimacy and Expressive Freedom in the Time of Covid‐19," Social Inclusion, Cogitatio Press, vol. 11(1), pages 60-71.
    3. Zhang, Lin & Qi, Fan & Sivertsen, Gunnar & Liang, Liming & Campbell, David, 2023. "Gender differences in the patterns and consequences of changing specialization in scientific careers," SocArXiv ep5bx, Center for Open Science.

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