The DOI matches its Crossref record.
Gender: A Useful Category of Historical Analysis
Abstract
Joan W. Scott; Gender: A Useful Category of Historical Analysis, The American Historical Review, Volume 91, Issue 5, 1 December 1986, Pages 1053–1075, https://d
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Citations
Cited by
The Complexity of Intersectionality
McCall, L. (2005) · Signs: Journal of Women in Culture and Society · doi:10.1086/426800 · Cited by 6,682
New Institutionalism Through a Gender Lens: Towards a Feminist Institutionalism?
Mackay, F., Kenny, M., & Chappell, L. (2010) · International Political Science Review · doi:10.1177/0192512110388788 · Cited by 738
Gendering World Politics: Issues and Approaches in the Post-Cold War Era
Lee, M., & Tickner, J. A. (2002) · International Journal · doi:10.2307/40203684 · Cited by 363
Gender and health: relational, intersectional, and biosocial approaches
Springer, K. W., Hankivsky, O., & Bates, L. M. (2012) · Social Science & Medicine · doi:10.1016/j.socscimed.2012.03.001 · Cited by 257
New Research on Gendered Political Institutions
Kenney, S. J. (1996) · Political Research Quarterly · doi:10.1177/106591299604900211 · Cited by 238
Metadata
- Authors
- Scott, J. W.
- Venue
- The American Historical Review
- Publisher
- Oxford University Press (OUP)
- Published
- 1986-12-01
- Volume
- 91
- Issue
- 5
- Pages
- 1053-1075
- ISSN
- 0002-8762 (ISSN-L)
- 1937-5239
- OpenAlex
- W1972007828
- Cited by
- 2,191
- References
- 0
- FWCI
- 64.44
- Type
- journal article
- Language
- en
- Open access
- closed
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How to cite
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- CoChat. (2026). Citation check: Gender: A Useful Category of Historical Analysis. https://app.cochat.ai/papers/10.1086/ahr/91.5.1053
- The paper
- Scott, J. W. (1986). Gender: A Useful Category of Historical Analysis. The American Historical Review. https://doi.org/10.1086/ahr/91.5.1053
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.
