Abraham Neyman
- Management Science and Operations Research top 0.5%
- Economics and Econometrics top 1%
- Artificial Intelligence top 10%
- Computational Theory and Mathematics top 5%
- Safety Research top 2%
- Co-authors
- Sylvain SorinJelle MertensPradeep DubeyRobert J. WeberElon KohlbergJean‐François MertensSergiu HartYair Tauman
- Topics
- Game Theory and Applications (34 papers)Economic theories and models (28 papers)Game Theory and Voting Systems (25 papers)
- Cited by
- Management Science and Operations ResearchGeneral Decision SciencesEconomics and Econometrics
- Partner nations
- IsraelUnited StatesBelgium
In The Last Decade
Abraham Neyman
63 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 87
- Management Science and Operations Research 913
- Economics and Econometrics 824
- Artificial Intelligence 199
- Computational Theory and Mathematics 183
- Safety Research 167
Countries citing papers authored by Abraham Neyman
This map shows the geographic impact of Abraham Neyman'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 Abraham Neyman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abraham Neyman more than expected).
Fields of papers citing papers by Abraham Neyman
This network shows the impact of papers produced by Abraham Neyman. 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 Abraham Neyman. The network helps show where Abraham Neyman may publish in the future.
Co-authorship network of co-authors of Abraham Neyman
This figure shows the co-authorship network connecting the top 25 collaborators of Abraham Neyman. A scholar is included among the top collaborators of Abraham Neyman 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 Abraham Neyman. Abraham Neyman 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 | 4 | |
| 3 | 7 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | Two-Person Repeated Games with Finite Automata | 1 |
| 7 | 22 | |
| 8 | 31 | |
| 9 | 3 | |
| 10 | 6 | |
| 11 | 209 | |
| 12 | 10 | |
| 13 | 2 | |
| 14 | 0 | |
| 15 | 38 | |
| 16 | 4 | |
| 17 | 192 | |
| 18 | 2 | |
| 19 | Asymptotic values of mixed games | 4 |
| 20 | 14 |
About Abraham Neyman
Abraham Neyman is a scholar working on Management Science and Operations Research, Economics and Econometrics and Mathematical Physics, having authored 70 papers that have together received 1.4k indexed citations. Recurring topics across this work include Game Theory and Applications (34 papers), Economic theories and models (28 papers) and Game Theory and Voting Systems (25 papers). The work is most often cited by research in Management Science and Operations Research (913 citations), General Decision Sciences (63 citations) and Economics and Econometrics (824 citations). Abraham Neyman has collaborated with scholars based in Israel, United States and Belgium. Frequent co-authors include Sylvain Sorin, Jelle Mertens, Pradeep Dubey, Robert J. Weber, Elon Kohlberg, Jean‐François Mertens, Sergiu Hart, Yair Tauman, Mordecai Kurz and Robert J. Aumann. Their work appears in journals such as Proceedings of the National Academy of Sciences, Econometrica and The Review of Economic Studies.
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.