Tom Wexler
- Management Science and Operations Research top 0.5%
- Economics and Econometrics top 2%
- Computer Networks and Communications top 5%
- Statistical and Nonlinear Physics top 5%
- Computational Theory and Mathematics top 5%
- Co-authors
- Éva TardosJon KleinbergElliot AnshelevichAnirban DasguptaTim RoughgardenAleksandrs SlivkinsMartin PálSiddharth Suri
- Topics
- Game Theory and Applications (16 papers)Game Theory and Voting Systems (8 papers)Evolutionary Game Theory and Cooperation (5 papers)
- Cited by
- Management Science and Operations ResearchStatistical and Nonlinear PhysicsComputer Networks and Communications
- Partner nations
- United StatesUnited KingdomSpain
In The Last Decade
Tom Wexler
21 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 73
- Management Science and Operations Research 730
- Economics and Econometrics 441
- Computer Networks and Communications 368
- Statistical and Nonlinear Physics 229
- Computational Theory and Mathematics 95
Countries citing papers authored by Tom Wexler
This map shows the geographic impact of Tom Wexler'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 Tom Wexler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Wexler more than expected).
Fields of papers citing papers by Tom Wexler
This network shows the impact of papers produced by Tom Wexler. 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 Tom Wexler. The network helps show where Tom Wexler may publish in the future.
Co-authorship network of co-authors of Tom Wexler
This figure shows the co-authorship network connecting the top 25 collaborators of Tom Wexler. A scholar is included among the top collaborators of Tom Wexler 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 Tom Wexler. Tom Wexler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 8 | |
| 3 | 1 | |
| 4 | Mediated Equilibria in Load-Balanced Games. | 1 |
| 5 | 6 | |
| 6 | 2 | |
| 7 | 31 | |
| 8 | 63 | |
| 9 | 264 | |
| 10 | 60 | |
| 11 | 17 | |
| 12 | 52 | |
| 13 | 10 | |
| 14 | 61 | |
| 15 | 38 | |
| 16 | 81 | |
| 17 | 247 | |
| 18 | 100 | |
| 19 | 8 | |
| 20 | 80 |
About Tom Wexler
Tom Wexler is a scholar working on Management Science and Operations Research, Safety Research and Statistical and Nonlinear Physics, having authored 21 papers that have together received 1.2k indexed citations. Recurring topics across this work include Game Theory and Applications (16 papers), Game Theory and Voting Systems (8 papers) and Evolutionary Game Theory and Cooperation (5 papers). The work is most often cited by research in Management Science and Operations Research (730 citations), Statistical and Nonlinear Physics (229 citations) and Computer Networks and Communications (368 citations). Tom Wexler has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Éva Tardos, Jon Kleinberg, Elliot Anshelevich, Anirban Dasgupta, Tim Roughgarden, Aleksandrs Slivkins, Martin Pál, Siddharth Suri, Nicole Immorlica and Mohammad Mahdian. Their work appears in journals such as Journal of the ACM, Journal of Molecular Evolution and SIAM Journal on Computing.
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.