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Scientometrics of peer review

Author

Listed:
  • Flaminio Squazzoni

    (University of Brescia)

  • Elise Brezis

    (Bar-Ilan University)

  • Ana Marušić

    (University of Split School of Medicine)

Abstract

This article aims to introduce a special issue on “Scientometrics of peer review”, which collects papers originally presented at workshops and conferences organised by the COST ACTION TD1306 “New frontiers of peer review”. Peer review is the cornerstone of science and is one of the underlying processes that bring about publication traces that are at the heart of bibliometric studies. Unfortunately, despite its importance, quantitative studies on peer review are still poorly developed, often due to lack of data. The issue aims to promote the establishment of peer review as an interdisciplinary field of research and stimulate further quantitative research.

Suggested Citation

  • Flaminio Squazzoni & Elise Brezis & Ana Marušić, 2017. "Scientometrics of peer review," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(1), pages 501-502, October.
    • Handle: RePEc:spr:scient:v:113:y:2017:i:1:d:10.1007_s11192-017-2518-4
    DOI: 10.1007/s11192-017-2518-4
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    References listed on IDEAS

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    1. Niccolò Casnici & Francisco Grimaldo & Nigel Gilbert & Flaminio Squazzoni, 2017. "Attitudes of referees in a multidisciplinary journal: An empirical analysis," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(7), pages 1763-1771, July.
    2. Azzurra Ragone & Katsiaryna Mirylenka & Fabio Casati & Maurizio Marchese, 2013. "On peer review in computer science: analysis of its effectiveness and suggestions for improvement," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(2), pages 317-356, November.
    3. Tibor Braun & Ildikó Dióspatonyi, 2005. "The journal gatekeepers of major publishing houses of core science journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 64(2), pages 113-120, August.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Yuetong Chen & Hao Wang & Baolong Zhang & Wei Zhang, 2022. "A method of measuring the article discriminative capacity and its distribution," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(6), pages 3317-3341, June.
    2. Elise S. Brezis & Aliaksandr Birukou, 2020. "Arbitrariness in the peer review process," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(1), pages 393-411, April.
    3. Thomas Feliciani & Junwen Luo & Lai Ma & Pablo Lucas & Flaminio Squazzoni & Ana Marušić & Kalpana Shankar, 2019. "A scoping review of simulation models of peer review," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(1), pages 555-594, October.
    4. Marco Seeber, 2020. "How do journals of different rank instruct peer reviewers? Reviewer guidelines in the field of management," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(3), pages 1387-1405, March.
    5. Ivana Drvenica & Giangiacomo Bravo & Lucija Vejmelka & Aleksandar Dekanski & Olgica Nedić, 2018. "Peer Review of Reviewers: The Author’s Perspective," Publications, MDPI, vol. 7(1), pages 1-10, December.
    6. Jonathan P. Tennant & Harry Crane & Tom Crick & Jacinto Davila & Asura Enkhbayar & Johanna Havemann & Bianca Kramer & Ryan Martin & Paola Masuzzo & Andy Nobes & Curt Rice & Bárbara Rivera-López & Tony, 2019. "Ten Hot Topics around Scholarly Publishing," Publications, MDPI, vol. 7(2), pages 1-24, May.
    7. Wenqing Wu & Haixu Xi & Chengzhi Zhang, 2024. "Are the confidence scores of reviewers consistent with the review content? Evidence from top conference proceedings in AI," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(7), pages 4109-4135, July.
    8. Zhang, Guangyao & Xu, Shenmeng & Sun, Yao & Jiang, Chunlin & Wang, Xianwen, 2022. "Understanding the peer review endeavor in scientific publishing," Journal of Informetrics, Elsevier, vol. 16(2).
    9. Jue Ni & Zhenyue Zhao & Yupo Shao & Shuo Liu & Wanlin Li & Yaoze Zhuang & Junmo Qu & Yu Cao & Nayuan Lian & Jiang Li, 2021. "The influence of opening up peer review on the citations of journal articles," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(12), pages 9393-9404, December.
    10. García, J.A. & Montero-Parodi, J.J. & Rodriguez-Sánchez, Rosa & Fdez-Valdivia, J., 2023. "How to motivate a reviewer with a present bias to work harder," Journal of Informetrics, Elsevier, vol. 17(4).
    11. Sergio Copiello, 2018. "On the money value of peer review," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(1), pages 613-620, April.
    12. Monica Aniela Zaharie & Marco Seeber, 2018. "Are non-monetary rewards effective in attracting peer reviewers? A natural experiment," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(3), pages 1587-1609, December.

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