Devin Caughey

2.5k citations
28 papers · 1.3k · 1 hit paper · h-index 14

Impact in

Papers in

Devin Caughey

26 papers receiving 1.2k citations

Devin Caughey's Hit Papers

Information Equivalence in Survey Experiments 2018 · 219 citations
2190+2+5Years since publication50100150200

Peers

Devin Caughey
Comparison fields: 5 of 83
  • Political Science and International Relations 821
  • Gender Studies 194
  • Public Administration 69
  • Communication 88
  • Sociology and Political Science 514
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Citations per year

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 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011220
2
Information Equivalence in Survey Experiments
Hit paper breakdown →
2018219
3 2017179
4 2015140
5 2019110
6 2017105
7 201553
8 201652
9 201138
10 202030
11 202230
12 201824
13 201722
14 201720
15 201614
16 202310
17 201910
18
Honor and War: Using Southern Presidents to Identify Reputational Eects in International Conict
20119
19 20196
20
Defining, Measuring, and Modeling Bureaucratic Autonomy
20095

About Devin Caughey

Devin Caughey is a scholar working on Political Science and International Relations, Statistics and Probability, Public Administration, Strategy and Management and Economics and Econometrics, having authored 28 papers that have together received 1.3k indexed citations. Recurring topics across this work include Electoral Systems and Political Participation (15 papers), Political Influence and Corporate Strategies (5 papers), Fiscal Policies and Political Economy (4 papers), Advanced Causal Inference Techniques (3 papers), Statistical Methods and Bayesian Inference (3 papers), International Relations and Foreign Policy (2 papers), Social Policy and Reform Studies (2 papers) and Political Conflict and Governance (2 papers). The work is most often cited by research in Political Science and International Relations (821 citations), Gender Studies (194 citations), Public Administration (69 citations), Communication (88 citations) and Sociology and Political Science (514 citations). Devin Caughey has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Christopher Warshaw, Jasjeet Singh Sekhon, Allan Dafoe, Baobao Zhang, Tom O’Grady, Eric Schickler, Yiqing Xu, Chris Tausanovitch, Jason Seawright and Adam J. Berinsky. Their work appears in journals such as Political Analysis, The Journal of Politics, Public Choice, Studies in American Political Development and American Political Science Review.

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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