Kenneth C. Williams
- Political Science and International Relations top 2%
- Sociology and Political Science top 5%
- Safety Research top 2%
- Economics and Econometrics top 5%
- Communication top 10%
- Co-authors
- Rebecca B. MortonAnna Maria BassiPeter C. OrdeshookRichard D. McKelveySugato DasguptaReginald S. SheehanKirk A. RandazzoRobert J. McQueen
- Topics
- Electoral Systems and Political Participation (8 papers)Experimental Behavioral Economics Studies (6 papers)Game Theory and Voting Systems (5 papers)
- Journals
- American Political Science ReviewAmerican Journal of Political ScienceThe Journal of Politics
- Partner nations
- United StatesIndia
In The Last Decade
Kenneth C. Williams
12 papers receiving 590 citations
Hit Papers
Peers
Comparison fields: 5 of 62
- Political Science and International Relations 329
- Sociology and Political Science 282
- Safety Research 198
- Economics and Econometrics 164
- Communication 75
Countries citing papers authored by Kenneth C. Williams
This map shows the geographic impact of Kenneth C. Williams'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 Kenneth C. Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenneth C. Williams more than expected).
Fields of papers citing papers by Kenneth C. Williams
This network shows the impact of papers produced by Kenneth C. Williams. 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 Kenneth C. Williams. The network helps show where Kenneth C. Williams may publish in the future.
Co-authorship network of co-authors of Kenneth C. Williams
This figure shows the co-authorship network connecting the top 25 collaborators of Kenneth C. Williams. A scholar is included among the top collaborators of Kenneth C. Williams 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 Kenneth C. Williams. Kenneth C. Williams is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 30 | |
| 2 | 262 | |
| 3 | Experimental Political Science and the Study of Causality: From Nature to the Labbreakdown → | 207 |
| 4 | 5 | |
| 5 | 7 | |
| 6 | Learning by Voting: Sequence in Presidential Primaries and Other Elections | 3 |
| 7 | 63 | |
| 8 | 4 | |
| 9 | 10 | |
| 10 | 8 | |
| 11 | 15 | |
| 12 | 26 | |
| 13 | 0 |
About Kenneth C. Williams
Kenneth C. Williams is a scholar working on Safety Research, Political Science and International Relations and Management Science and Operations Research, having authored 13 papers that have together received 640 indexed citations. Recurring topics across this work include Electoral Systems and Political Participation (8 papers), Experimental Behavioral Economics Studies (6 papers) and Game Theory and Voting Systems (5 papers). The work is most often cited by research in Safety Research (198 citations), General Decision Sciences (37 citations) and Political Science and International Relations (329 citations). Kenneth C. Williams has collaborated with scholars based in United States and India. Frequent co-authors include Rebecca B. Morton, Anna Maria Bassi, Peter C. Ordeshook, Richard D. McKelvey, Sugato Dasgupta, Reginald S. Sheehan, Kirk A. Randazzo and Robert J. McQueen. Their work appears in journals such as American Political Science Review, American Journal of Political Science and The Journal of 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.