Thad A. Brown
Impact in
- General Decision Sciences top 5%
- Decision-Making and Behavioral Economics
- Communication top 5%
- Social Media and Politics
Papers in
-
- Electoral Systems and Political Participation 3
- International Relations and Foreign Policy 1
-
- Social and Intergroup Psychology 2
- Social and Cultural Dynamics 1
- Co-authors
- Arthur H. Miller (2 shared papers)Warren E. Miller (1 shared paper)Donald Granberg (3 shared papers)Richard R. Lau (1 shared paper)David O. Sears (1 shared paper)David Meyer (1 shared paper)Kenneth C. Land (1 shared paper)Arthur Stein (1 shared paper)
- Journals
- The Journal of Interdisciplinary History (1 paper)American Political Science Review (1 paper)Society (1 paper)Personality and Social Psychology Bulletin (1 paper)British Journal of Political Science (1 paper)
- Partner nations
- United StatesNetherlands
In The Last Decade
Thad A. Brown
12 papers receiving 404 citations
Peers
Comparison fields: 5 of 59
- General Decision Sciences 47
- Communication 98
- Political Science and International Relations 302
- Sociology and Political Science 228
- Gender Studies 43
Countries citing papers authored by Thad A. Brown
This map shows the geographic impact of Thad A. Brown'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 Thad A. Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thad A. Brown more than expected).
Fields of papers citing papers by Thad A. Brown
This network shows the impact of papers produced by Thad A. Brown. 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 Thad A. Brown. The network helps show where Thad A. Brown may publish in the future.
Co-authors
The 10 scholars most cited alongside Thad A. Brown, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1976 | 160 | |
| 2 | 1978 | 73 | |
| 3 | 1995 | 64 | |
| 4 | 1981 | 53 | |
| 5 | 1989 | 36 | |
| 6 | 1992 | 28 | |
| 7 | 1998 | 26 | |
| 8 | 1992 | 15 | |
| 9 | 1989 | 10 | |
| 10 | 1982 | 9 | |
| 11 | 1989 | 8 | |
| 12 | 1976 | 3 |
About Thad A. Brown
Thad A. Brown is a scholar working on Political Science and International Relations, Sociology and Political Science, Communication, Condensed Matter Physics and Social Psychology, having authored 12 papers that have together received 485 indexed citations. Recurring topics across this work include Electoral Systems and Political Participation (3 papers), Social and Intergroup Psychology (2 papers), Political Influence and Corporate Strategies (1 paper), Experimental Behavioral Economics Studies (1 paper), Theoretical and Computational Physics (1 paper), Emotions and Moral Behavior (1 paper), International Relations and Foreign Policy (1 paper) and Social and Cultural Dynamics (1 paper). The work is most often cited by research in General Decision Sciences (47 citations), Communication (98 citations), Political Science and International Relations (302 citations), Sociology and Political Science (228 citations) and Gender Studies (43 citations). Thad A. Brown has collaborated with scholars based in United States and Netherlands. Frequent co-authors include Arthur H. Miller, Warren E. Miller, Donald Granberg, Richard R. Lau, David O. Sears, David Meyer, Kenneth C. Land, Arthur Stein, Ballard C. Campbell and Edward R. Tufte. Their work appears in journals such as The Journal of Interdisciplinary History, American Political Science Review, Society, Personality and Social Psychology Bulletin and British Journal of Political 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.