Matthew C. MacWilliams
- Sociology and Political Science top 5%
- Political Science and International Relations top 2%
- Gender Studies top 5%
- Communication top 10%
- Social Psychology
- Co-authors
- Tatishe NtetaBrian SchaffnerJonathan D. WeilerJesse H. RhodesKatherine L. Dixon–GordonBrian LickelAllecia E. ReidRaymond J. La Raja
- Topics
- Electoral Systems and Political Participation (5 papers)Social and Intergroup Psychology (2 papers)Populism, Right-Wing Movements (2 papers)
- Partner nations
- United States
In The Last Decade
Matthew C. MacWilliams
8 papers receiving 414 citations
Hit Papers
Peers
Comparison fields: 5 of 52
- Sociology and Political Science 296
- Political Science and International Relations 271
- Gender Studies 120
- Communication 70
- Social Psychology 39
Countries citing papers authored by Matthew C. MacWilliams
This map shows the geographic impact of Matthew C. MacWilliams'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 Matthew C. MacWilliams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew C. MacWilliams more than expected).
Fields of papers citing papers by Matthew C. MacWilliams
This network shows the impact of papers produced by Matthew C. MacWilliams. 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 Matthew C. MacWilliams. The network helps show where Matthew C. MacWilliams may publish in the future.
Co-authorship network of co-authors of Matthew C. MacWilliams
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew C. MacWilliams. A scholar is included among the top collaborators of Matthew C. MacWilliams 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 Matthew C. MacWilliams. Matthew C. MacWilliams is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | Understanding White Polarization in the 2016 Vote for President: The Sobering Role of Racism and Sexismbreakdown → | 292 |
| 4 | 111 | |
| 5 | 5 | |
| 6 | 16 | |
| 7 | Authoritarianism, not social class, is the dividing line between supporting and opposing Donald Trump | 2 |
| 8 | Donald Trump is attracting authoritarian primary voters, and it may help him to gain the nomination. | 0 |
| 9 | 18 |
About Matthew C. MacWilliams
Matthew C. MacWilliams is a scholar working on Political Science and International Relations, Communication and Gender Studies, having authored 9 papers that have together received 447 indexed citations. Recurring topics across this work include Electoral Systems and Political Participation (5 papers), Social and Intergroup Psychology (2 papers) and Populism, Right-Wing Movements (2 papers). The work is most often cited by research in Gender Studies (120 citations), Political Science and International Relations (271 citations) and Communication (70 citations). Matthew C. MacWilliams has collaborated with scholars based in United States. Frequent co-authors include Tatishe Nteta, Brian Schaffner, Jonathan D. Weiler, Jesse H. Rhodes, Katherine L. Dixon–Gordon, Brian Lickel, Allecia E. Reid, Raymond J. La Raja, Gregory D. Wall and Alexander G. Theodoridis. Their work appears in journals such as Political Science Quarterly, Political Research Quarterly and PS Political Science & Politics.
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.