Devin Caughey

2.3k citations
40 papers · 1.3k · 1 hit paper · h-index 15

Impact in

Papers in

Devin Caughey

37 papers receiving 1.2k citations

Devin Caughey's Hit Papers

Information Equivalence in Survey Experiments 2018 · 206 citations
2060+2+5Years since publication50100150200

Peers

Devin Caughey
Comparison fields: 5 of 85
  • Political Science and International Relations 858
  • Gender Studies 193
  • Public Administration 68
  • Communication 99
  • Strategy and Management 184
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Countries citing papers authored by Devin Caughey

Since Specialization
Citations

This map shows the geographic impact of Devin Caughey's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Devin Caughey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Devin Caughey more than expected).

Fields of papers citing papers by Devin Caughey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Devin Caughey. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Devin Caughey. The network helps show where Devin Caughey may publish in the future.

Co-authors

The 13 scholars most cited alongside Devin Caughey, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Devin Caughey Line = papers co-authored together Devin Caughey links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011254
2
Information Equivalence in Survey Experiments
Hit paper breakdown →
2018206
3 2017171
4 2015135
5 201993
6 201790
7 201557
8 201637
9 201130
10 202028
11 201724
12 201824
13 202223
14 201721
15 201815
16 201612
17
Confounding in Survey Experiments
201411
18 201910
19
Honor and War: Using Southern Presidents to Identify Reputational Eects in International Conict
20119
20 20238

About Devin Caughey

Devin Caughey is a scholar working on Political Science and International Relations, Sociology and Political Science, Statistics and Probability, Strategy and Management and Economics and Econometrics, having authored 40 papers that have together received 1.3k indexed citations. Recurring topics across this work include Electoral Systems and Political Participation (24 papers), Political Influence and Corporate Strategies (7 papers), Statistical Methods and Bayesian Inference (6 papers), Fiscal Policies and Political Economy (4 papers), Social Policy and Reform Studies (4 papers), Race, History, and American Society (3 papers), Statistical Methods and Inference (3 papers) and School Choice and Performance (3 papers). The work is most often cited by research in Political Science and International Relations (858 citations), Gender Studies (193 citations), Public Administration (68 citations), Communication (99 citations) and Strategy and Management (184 citations). Devin Caughey has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Christopher Warshaw, Jasjeet S. Sekhon, Allan Dafoe, Baobao Zhang, Tom O’Grady, Yiqing Xu, Eric Schickler, Chris Tausanovitch, Jason Seawright and Erin Hartman. Their work appears in journals such as Political Analysis, The Journal of Politics, Public Choice, American Political Science Review and Studies in American Political Development.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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