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Author placement in Computer Science: a study based on the careers of ACM Fellows

Author

Listed:
  • João M. Fernandes

    (University of Minho)

  • António Costa

    (University of Minho)

  • Paulo Cortez

    (University of Minho)

Abstract

The order in which authors of a scientific paper place their names on the byline follows in many research fields some implicit rules. In most fields, the first author is considered to be the one who contributed most to the intellectual effort described in the paper. Additionally, the last author is normally the most senior researcher and in many situations the contribution to the paper is more indirect. In this manuscript, we intend to analyse the evolution of the positions of computer science (CS) researchers on the bylines of scientific papers throughout their careers. In particular, this bibliometic study considers the Association for Computing Machinery (ACM) Fellows (the most prestigious members) that present a long and rich publication record. Our hypothesis is that young CS authors tend to have their names placed in the first positions of the bylines, while senior CS researchers are often considered as last authors. Several statistical analyses were conducted by using biblometric data collected from ACM Fellows and other CS researchers. Overall, the obtained results do confirm our initial hypothesis.

Suggested Citation

  • João M. Fernandes & António Costa & Paulo Cortez, 2022. "Author placement in Computer Science: a study based on the careers of ACM Fellows," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(1), pages 351-368, January.
  • Handle: RePEc:spr:scient:v:127:y:2022:i:1:d:10.1007_s11192-021-04035-5
    DOI: 10.1007/s11192-021-04035-5
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    References listed on IDEAS

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    1. Maxim Engers & Joshua S. Gans & Simon Grant & Stephen King, 1999. "First-Author Conditions," Journal of Political Economy, University of Chicago Press, vol. 107(4), pages 859-883, August.
    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. Jinseok Kim, 2019. "Author‐based analysis of conference versus journal publication in computer science," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 70(1), pages 71-82, January.
    5. Kosmulski, Marek, 2012. "The order in the lists of authors in multi-author papers revisited," Journal of Informetrics, Elsevier, vol. 6(4), pages 639-644.
    6. Rodrigo Costas & María Bordons, 2011. "Do age and professional rank influence the order of authorship in scientific publications? Some evidence from a micro-level perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(1), pages 145-161, July.
    7. Xuan Zhen Liu & Hui Fang, 2014. "Scientific group leaders’ authorship preferences: an empirical investigation," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(2), pages 909-925, February.
    8. Gertrude Case Buehring & Jessica E. Buehring & Patrick D. Gerard, 2007. "Lost in citation: Vanishing visibility of senior authors," Scientometrics, Springer;Akadémiai Kiadó, vol. 72(3), pages 459-468, September.
    9. 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.
    10. Guillaume Cabanac & Gilles Hubert & Béatrice Milard, 2015. "Academic careers in Computer Science: continuance and transience of lifetime co-authorships," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 135-150, January.
    11. Liming Liang & Junwan Liu & Ronald Rousseau, 2004. "Name order patterns of graduate candidates and supervisors in Chinese publications: A case study of three major Chinese universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 61(1), pages 3-18, September.
    12. Gerald Marschke & Allison Nunez & Bruce A. Weinberg & Huifeng Yu, 2018. "Last Place? The Intersection of Ethnicity, Gender, and Race in Biomedical Authorship," AEA Papers and Proceedings, American Economic Association, vol. 108, pages 222-227, May.
    13. Dorte Henriksen, 2019. "Alphabetic or Contributor Author Order. What Is the Norm in Danish Economics and Political Science and Why?," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 70(6), pages 607-618, June.
    14. 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.
    15. Massimo Franceschet, 2011. "Collaboration in computer science: A network science approach," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(10), pages 1992-2012, October.
    16. Jinseok Kim, 2018. "Evaluating author name disambiguation for digital libraries: a case of DBLP," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(3), pages 1867-1886, September.
    17. Massimo Franceschet, 2011. "Collaboration in computer science: A network science approach," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(10), pages 1992-2012, October.
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