Kevin Esterling

60 papers receiving 1.8k citations

Kevin Esterling's Hit Papers

Promoting Transparency in Social Science Research 2014 · 301 citations
3010+4+8Years since publication100200300

Peers

Kevin Esterling
Comparison fields: 5 of 129
  • Communication 583
  • Public Administration 210
  • Political Science and International Relations 810
  • Strategy and Management 330
  • Statistics, Probability and Uncertainty 151
Replace John F. Padgett with:
John F. Padgett United States
David D. Dill United States
Massimo Marraffa Italy
Lars Engwall Sweden
Clark McPhail United States
Skyler Cranmer United States
Shaun Goldfinch New Zealand
Ellen Hazelkorn Ireland
Philip Zelikow United States
David A. Lax United States
Kevin Esterling relative to John F. Padgett United States John F. Padgett's profile →
Citations per field
00.5×5.4×
John F. Padgett · 1×
Citations per year

Countries citing papers authored by Kevin Esterling

Since Specialization
Citations

This map shows the geographic impact of Kevin Esterling'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 Kevin Esterling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin Esterling more than expected).

Fields of papers citing papers by Kevin Esterling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin Esterling. 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 Kevin Esterling. The network helps show where Kevin Esterling may publish in the future.

Co-authors

The 25 scholars most cited alongside Kevin Esterling, 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 Kevin Esterling Line = papers co-authored together Kevin Esterling links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Promoting Transparency in Social Science Research
Hit paper breakdown →
2014301
2 2010285
3 2003159
4 2004143
5 2021119
6 200491
7 201871
8 199870
9 201167
10 200765
11 201551
12
The Political Economy of Expertise: Information and Efficiency in American National Politics
200449
13 201843
14 201540
15 201431
16 201122
17 202021
18 201918
19 202017
20 201316

About Kevin Esterling

Kevin Esterling is a scholar working on Political Science and International Relations, Communication, Sociology and Political Science, Strategy and Management and Public Administration, having authored 66 papers that have together received 1.9k indexed citations. Recurring topics across this work include Electoral Systems and Political Participation (28 papers), Social Media and Politics (25 papers), Political Influence and Corporate Strategies (9 papers), Public Policy and Administration Research (7 papers), Social Capital and Networks (7 papers), Advanced Causal Inference Techniques (6 papers), Misinformation and Its Impacts (5 papers) and Opinion Dynamics and Social Influence (5 papers). The work is most often cited by research in Communication (583 citations), Public Administration (210 citations), Political Science and International Relations (810 citations), Strategy and Management (330 citations) and Statistics, Probability and Uncertainty (151 citations). Kevin Esterling has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include David Lazer, Michael A. Neblo, Daniel Carpenter, Ryan Kennedy, Anand E. Sokhey, David Lazer, Brian A. Nosek, Taeku Lee, Archon Fung and William Minozzi. Their work appears in journals such as Political Communication, Rationality and Society, Perspectives on Politics, Proceedings of the National Academy of Sciences and Science.

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.

Explore authors with similar magnitude of impact