Cameron C. Wimpy
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Associate Professor of Political Science and Chair
Also affiliated: Massachusetts Institute of Technology (2010–2019); Texas A&M University (2010–2015)
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Cameron Wimpy is an Associate Professor of Political Science at Arkansas State University, where he also chairs a department. His research interests encompass political economy, political methodology, and political violence. Previously, Wimpy served as the Research Director at the MIT Election Data and Science Lab, focusing on the scientific study of elections. He also held an affiliate faculty position with the Harvard Institute for Quantitative Social Science.
Wimpy's published work includes studies on American election results at the precinct level, political failure and bureaucratic potential in Africa, and the development of spatial statistical models for applied researchers. He has also developed resources for classifying and scoring rurality in U.S. counties and ZIP codes. His scholarly metrics include an h-index of 8, with 76 total publications and 271 citations. Wimpy leads a research group and has collaborated with Amanda Carpenter at Arkansas State University on shared publications.
Metrics
- h-index: 8
- Publications: 75
- Citations: 277
Positions
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Associate Professor of Political Science and Chair 2019–presentArkansas State University Political Science ORCID
Selected Publications
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cwimpy/slxr: slxr is now available on CRAN (2026)
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cwimpy/slxr: slxr is now available on CRAN (2026)
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rurality: Rurality Classification and Scoring for U.S. Counties and ZIP Codes (2026)
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rurality: Rurality Classification and Scoring for U.S. Counties and ZIP Codes (2026)
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cwimpy/rurality-app: v1.0.0 (2026)
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cwimpy/rurality: v0.1.0 (2026)
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cwimpy/rurality-app: v1.0.0 (2026)
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The Politicization of COVID-19 and Implications for Public Health (2024)
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Rural and Other Minority Populations (2024)
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American election results at the precinct level (2022)
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X Marks the Spot: Unlocking the Treasure of Spatial-X Models (2020)
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Europe War Illustration.tab (2019)
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Patterns in the Spatial Survey.smcl (2019)
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Military Spending--Monadic--SLX.tab (2019)
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SAR Monte Carlo Experiments.do (2019)
Collaboration Network
Top Collaborators
- X Marks the Spot: Unlocking the Treasure of Spatial-X Models
- Generate Higher-Order Weights Matrices.R
- Analyze SLX Monte Carlo Experiments.tab
- Analyze SLX Monte Carlo Experiments.smcl
- SEM Monte Carlo Experiments.do
Showing 5 of 42 shared publications
- X Marks the Spot: Unlocking the Treasure of Spatial-X Models
- Generate Higher-Order Weights Matrices.R
- Analyze SLX Monte Carlo Experiments.tab
- Analyze SLX Monte Carlo Experiments.smcl
- SEM Monte Carlo Experiments.do
Showing 5 of 42 shared publications
- Abstention, Protest, and Residual Votes in the 2016 Election
- Abstention, Protest, and Residual Votes in the 2016 Election
- Abstention, Protest, and Residual Votes in the 2016 Election
- Abstention, Protest, and Residual Votes in the 2016 Election
- Abstention, Protest, and Residual Votes in the 2016 Election
- Abstention, Protest, and Residual Votes in the 2016 Election
- The Politicization of COVID-19 and Implications for Public Health
- Rural and Other Minority Populations
- cwimpy/rurality-app: v1.0.0
- cwimpy/rurality-app: v1.0.0
- Bureaucracy and the Failure of Politics: Challenges to Democratic Governance
- Bureaucracy and the Failure of Politics: Challenges to Democratic Governance
- Bureaucracy and the Failure of Politics: Challenges to Democratic Governance
- Bureaucracy and the Failure of Politics: Challenges to Democratic Governance
- American election results at the precinct level
- American election results at the precinct level
- American election results at the precinct level
- American election results at the precinct level