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The emergence of a field: a network analysis of research on peer review

Author

Listed:
  • Vladimir Batagelj

    (Institute of Mathematics, Physics and Mechanics
    University of Primorska)

  • Anuška Ferligoj

    (University of Ljubljana)

  • Flaminio Squazzoni

    (University of Brescia)

Abstract

This article provides a quantitative analysis of peer review as an emerging field of research by revealing patterns and connections between authors, fields and journals from 1950 to 2016. By collecting all available sources from Web of Science, we built a dataset that included approximately 23,000 indexed records and reconstructed collaboration and citation networks over time. This allowed us to trace the emergence and evolution of this field of research by identifying relevant authors, publications and journals and revealing important development stages. Results showed that while the term “peer review” itself was relatively unknown before 1970 (“referee” was more frequently used), publications on peer review significantly grew especially after 1990. We found that the field was marked by three development stages: (1) before 1982, in which most influential studies were made by social scientists; (2) from 1983 to 2002, in which research was dominated by biomedical journals, and (3) from 2003 to 2016, in which specialised journals on science studies, such as Scientometrics, gained momentum frequently publishing research on peer review and so becoming the most influential outlets. The evolution of citation networks revealed a body of 47 publications that form the main path of the field, i.e., cited sources in all the most influential publications. They could be viewed as the main corpus of knowledge for any newcomer in the field.

Suggested Citation

  • Vladimir Batagelj & Anuška Ferligoj & Flaminio Squazzoni, 2017. "The emergence of a field: a network analysis of research on peer review," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(1), pages 503-532, October.
    • Handle: RePEc:spr:scient:v:113:y:2017:i:1:d:10.1007_s11192-017-2522-8
    DOI: 10.1007/s11192-017-2522-8
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Bravo, Giangiacomo & Farjam, Mike & Grimaldo Moreno, Francisco & Birukou, Aliaksandr & Squazzoni, Flaminio, 2018. "Hidden connections: Network effects on editorial decisions in four computer science journals," Journal of Informetrics, Elsevier, vol. 12(1), pages 101-112.
    2. Abdelghani Maddi, 2018. "Analyse scientométrique de la crise économique," CEPN Working Papers 2018-08, Centre d'Economie de l'Université de Paris Nord.
    3. Petersen, Alexander M., 2019. "Megajournal mismanagement: Manuscript decision bias and anomalous editor activity at PLOS ONE," Journal of Informetrics, Elsevier, vol. 13(4).
    4. Daria Maltseva & Vladimir Batagelj, 2021. "Journals publishing social network analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 3593-3620, April.
    5. Batagelj, Vladimir & Maltseva, Daria, 2020. "Temporal bibliographic networks," Journal of Informetrics, Elsevier, vol. 14(1).
    6. Daria Maltseva & Vladimir Batagelj, 2020. "iMetrics: the development of the discipline with many names," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 313-359, October.
    7. Francesco Pasimeni, 2020. "The Origin of the Sharing Economy Meets the Legacy of Fractional Ownership," SPRU Working Paper Series 2020-19, SPRU - Science Policy Research Unit, University of Sussex Business School.
    8. Daria Maltseva & Vladimir Batagelj, 2020. "Towards a systematic description of the field using keywords analysis: main topics in social networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(1), pages 357-382, April.
    9. John S. Liu & Louis Y. Y. Lu & Mei Hsiu-Ching Ho, 2019. "A few notes on main path analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(1), pages 379-391, April.
    10. Abdelghani Maddi, 2018. "Analyse scientométrique de la crise économique : Courants de pensée, auteurs influents et thématiques," Working Papers hal-01922256, HAL.
    11. Flavia Filippin, 2021. "Do main paths reflect technological trajectories? Applying main path analysis to the semiconductor manufacturing industry," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(8), pages 6443-6477, August.
    12. Daria Maltseva & Vladimir Batagelj, 2019. "Social network analysis as a field of invasions: bibliographic approach to study SNA development," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(2), pages 1085-1128, November.
    13. Hans-Dieter Daniel, 2019. "Lutz Bornmann: Recipient of the 2019 Derek John de Solla Price Medal," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(3), pages 1235-1238, December.
    14. Aliakbar Akbaritabar & Vincent Antonio Traag & Alberto Caimo & Flaminio Squazzoni, 2020. "Italian sociologists: a community of disconnected groups," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2361-2382, September.
    15. Shuo Xu & Liyuan Hao & Xin An & Hongshen Pang & Ting Li, 2020. "Review on emerging research topics with key-route main path analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 607-624, January.
    16. Guillermo Armando Ronda-Pupo & Thong Pham, 2018. "The evolutions of the rich get richer and the fit get richer phenomena in scholarly networks: the case of the strategic management journal," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 363-383, July.
    17. Balázs Győrffy & Andrea Magda Nagy & Péter Herman & Ádám Török, 2018. "Factors influencing the scientific performance of Momentum grant holders: an evaluation of the first 117 research groups," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(1), pages 409-426, October.
    18. Daria Maltseva & Vladimir Batagelj, 2022. "Collaboration between authors in the field of social network analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(6), pages 3437-3470, June.
    19. Akbaritabar, Aliakbar & Stephen, Dimity & Squazzoni, Flaminio, 2022. "A study of referencing changes in preprint-publication pairs across multiple fields," Journal of Informetrics, Elsevier, vol. 16(2).

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