Peyton Young
Impact in
-
- Game Theory and Applications
- Safety Research top 2%
- Experimental Behavioral Economics Studies
Papers in
-
- Game Theory and Applications 3
- Auction Theory and Applications 1
-
- Economic theories and models 2
- Game Theory and Voting Systems 2
- Co-authors
- Dean P. Foster (1 shared paper)Larry Samuelson (1 shared paper)Ken Binmore (1 shared paper)Joshua M. Epstein (1 shared paper)Itai Arieli (1 shared paper)Ron J. Johnston (1 shared paper)Michel Balinski (1 shared paper)Iain McLean (1 shared paper)
- Journals
- The Journal of Economic Perspectives (1 paper)Nuclear Physics A (1 paper)Games and Economic Behavior (1 paper)Theoretical Population Biology (1 paper)American Economic Review (1 paper)
- Partner nations
- United StatesUnited KingdomIreland
In The Last Decade
Peyton Young
7 papers receiving 801 citations
Peers
Comparison fields: 5 of 78
- Management Science and Operations Research 482
- Safety Research 200
- Economics and Econometrics 337
- General Decision Sciences 16
- Statistical and Nonlinear Physics 108
Countries citing papers authored by Peyton Young
This map shows the geographic impact of Peyton Young'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 Peyton Young with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peyton Young more than expected).
Fields of papers citing papers by Peyton Young
This network shows the impact of papers produced by Peyton Young. 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 Peyton Young. The network helps show where Peyton Young may publish in the future.
Co-authors
The 11 scholars most cited alongside Peyton Young, 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 | 1990 | 617 | |
| 2 | 1995 | 197 | |
| 3 | 2003 | 38 | |
| 4 | The Emergence of Economic Classes in an Agent-Based Bargaining Model | 2001 | 13 |
| 5 | Fast Convergence in Population Games | 2011 | 5 |
| 6 | Drawing a new constituency map for the United Kingdom | 2010 | 2 |
| 7 | 1970 | 1 | |
| 8 | Fairness in Taxation | 1989 | 0 |
| 9 | 2025 | 0 |
About Peyton Young
Peyton Young is a scholar working on Management Science and Operations Research, Economics and Econometrics, General Decision Sciences, Sociology and Political Science and Geography, Planning and Development, having authored 9 papers that have together received 873 indexed citations. Recurring topics across this work include Game Theory and Applications (3 papers), Economic theories and models (2 papers), Game Theory and Voting Systems (2 papers), Evolution and Genetic Dynamics (2 papers), Nuclear physics research studies (1 paper), Rural development and sustainability (1 paper), Auction Theory and Applications (1 paper) and Geographic Information Systems Studies (1 paper). The work is most often cited by research in Management Science and Operations Research (482 citations), Safety Research (200 citations), Economics and Econometrics (337 citations), General Decision Sciences (16 citations) and Statistical and Nonlinear Physics (108 citations). Peyton Young has collaborated with scholars based in United States, United Kingdom and Ireland. Frequent co-authors include Dean P. Foster, Larry Samuelson, Ken Binmore, Joshua M. Epstein, Itai Arieli, Ron J. Johnston, Michel Balinski, Iain McLean, Selim Gulesci and Eliana La Ferrara. Their work appears in journals such as The Journal of Economic Perspectives, Nuclear Physics A, Games and Economic Behavior, Theoretical Population Biology and American Economic Review.
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.