Kevin Mullinix
- Sociology and Political Science top 1%
- Political Science and International Relations top 1%
- Communication top 2%
- Gender Studies top 5%
- Social Psychology top 10%
- Co-authors
- Thomas J. LeeperJames DruckmanJeremy FreeseAlexander CoppockRobert J. NorrisJoshua RobisonToby BolsenDennis Chong
- Topics
- Electoral Systems and Political Participation (12 papers)Social Media and Politics (8 papers)Social and Intergroup Psychology (7 papers)
- Journals
- Proceedings of the National Academy of SciencesPolitical CommunicationPolitical Research Quarterly
- Partner nations
- United StatesUnited KingdomDenmark
In The Last Decade
Kevin Mullinix
19 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Sociology and Political Science 949
- Political Science and International Relations 553
- Communication 322
- Gender Studies 166
- Social Psychology 120
Countries citing papers authored by Kevin Mullinix
This map shows the geographic impact of Kevin Mullinix'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 Mullinix with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin Mullinix more than expected).
Fields of papers citing papers by Kevin Mullinix
This network shows the impact of papers produced by Kevin Mullinix. 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 Mullinix. The network helps show where Kevin Mullinix may publish in the future.
Co-authorship network of co-authors of Kevin Mullinix
This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Mullinix. A scholar is included among the top collaborators of Kevin Mullinix based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kevin Mullinix. Kevin Mullinix is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 6 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 36 | |
| 7 | 46 | |
| 8 | 7 | |
| 9 | 12 | |
| 10 | 22 | |
| 11 | 2 | |
| 12 | Generalizability of heterogeneous treatment effect estimates across samplesbreakdown → | 280 |
| 13 | 18 | |
| 14 | 17 | |
| 15 | The Generalizability of Survey Experimentsbreakdown → | 856 |
| 16 | 84 | |
| 17 | 16 | |
| 18 | 55 | |
| 19 | 8 | |
| 20 | 12 |
About Kevin Mullinix
Kevin Mullinix is a scholar working on Communication, Political Science and International Relations and Public Administration, having authored 20 papers that have together received 1.5k indexed citations. Recurring topics across this work include Electoral Systems and Political Participation (12 papers), Social Media and Politics (8 papers) and Social and Intergroup Psychology (7 papers). The work is most often cited by research in Communication (322 citations), Political Science and International Relations (553 citations) and Sociology and Political Science (949 citations). Kevin Mullinix has collaborated with scholars based in United States, United Kingdom and Denmark. Frequent co-authors include Thomas J. Leeper, James Druckman, Jeremy Freese, Alexander Coppock, Robert J. Norris, Joshua Robison, Toby Bolsen, Dennis Chong, Matthew R. Miles and Elaine B. Sharp. Their work appears in journals such as Proceedings of the National Academy of Sciences, Political Communication and Political Research Quarterly.
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.