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Cited by 521

The DOI matches its Crossref record; 46 of the 46 references it cites were found in a registry or an index.

Gendered Citation Patterns across Political Science and Social Science Methodology Fields

Open access
Dion, Michelle L., Sumner, Jane Lawrence, Mitchell, Sara McLaughlin·2018·Political Analysis

Abstract

Accumulated evidence identifies discernible gender gaps across many dimensions of professional academic careers including salaries, publication rates, journal placement, career progress, and academic service. Recent work in political science also reveals gender gaps in citations, with articles written by men citing work by other male scholars more often than work by female scholars. This study estimates the gender gap in citations across political science subfields and across methodological subfields within political science, sociology, and economics. The research design captures variance across research areas in terms of the underlying distribution of female scholars. We expect that subfields within political science and social science disciplines with more women will have smaller gender citation gaps, a reduction of the “Matthew effect” where men’s research is viewed as the most central and important in a field. However, gender citation gaps may persist if a “Matilda effect” occurs whereby women’s research is viewed as less important or their ideas are attributed to male scholars, even as a field becomes more diverse. Analysing all articles published from 2007–2016 in several journals, we find that female scholars are significantly more likely than mixed gender or male author teams to cite research by their female peers, but that these citation rates vary depending on the overall distribution of women in their field. More gender diverse subfields and disciplines produce smaller gender citation gaps, consistent with a reduction in the “Matthew effect”. However, we also observe undercitation of work by women, even in journals that publish mostly female authors. While improvements in gender diversity in academia increase the visibility and impact of scholarly work by women, implicit biases in citation practices in the social sciences persist.

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Metadata

Authors
Dion, M. L., Sumner, J. L., & Mitchell, S. M.
Venue
Political Analysis
Published
2018-07
Volume
26
Issue
3
Pages
312-327
ISSN
  • 1047-1987 (ISSN-L)
  • 1476-4989
OpenAlex
W2886105060
Cited by
521
References
46
FWCI
33.66
Type
journal article
Language
en
Open access
bronze

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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CoChat. (2026). Citation check: Gendered Citation Patterns across Political Science and Social Science Methodology Fields. https://app.cochat.ai/papers/10.1017/pan.2018.12
The paper
Dion, M. L., Sumner, J. L., & Mitchell, S. M. (2018). Gendered Citation Patterns across Political Science and Social Science Methodology Fields. Political Analysis. https://doi.org/10.1017/pan.2018.12

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.