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Academic in-group bias: An empirical examination of the link between author and journal affiliation

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  • Reingewertz, Yaniv
  • Lutmar, Carmela

Abstract

Do academic journals favor authors who share their institutional affiliation? To answer this question we examine citation counts, as a proxy for paper quality, for articles published in four leading international relations journals during the years 2000–2015. We compare citation counts for articles written by “in-group members” (authors affiliated with the journal’s publishing institution) versus “out-group members” (authors not affiliated with that institution). Articles written by in-group authors received 18% to 49% fewer Web of Science citations when published in their home journal (International Security or World Politics) vs. an unaffiliated journal, compared to out-group authors. These results are mainly driven by authors who received their PhDs from Harvard or MIT. The findings show evidence of a bias within some journals towards publishing papers by faculty from their home institution, at the expense of paper quality.

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  • Reingewertz, Yaniv & Lutmar, Carmela, 2018. "Academic in-group bias: An empirical examination of the link between author and journal affiliation," Journal of Informetrics, Elsevier, vol. 12(1), pages 74-86.
    • Handle: RePEc:eee:infome:v:12:y:2018:i:1:p:74-86
    DOI: 10.1016/j.joi.2017.11.006
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    2. Zhang, Lin & Shang, Yuanyuan & HUANG, Ying & Sivertsen, Gunnar, 2021. "Gender differences among active reviewers: an investigation based on Publons," SocArXiv 4z6w8, Center for Open Science.
    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. Carmela Lutmar & Yaniv Reingewertz, 2021. "Academic in-group bias in the top five economics journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(12), pages 9543-9556, December.
    5. Lutmar, Carmela & Reingewertz, Yaniv, 2020. "Academic in-group bias in economics," MPRA Paper 104730, University Library of Munich, Germany.
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    9. Pech, Gerson & Delgado, Catarina, 2021. "Screening the most highly cited papers in longitudinal bibliometric studies and systematic literature reviews of a research field or journal: Widespread used metrics vs a percentile citation-based app," Journal of Informetrics, Elsevier, vol. 15(3).
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