Predicting How People Play Games: Reinforcement Learning in Experimental Games with Unique, Mixed Strategy Equilibria
Impact in
- Safety Research 524
Classified as
- Authors
- Ido ErevAlvin E. Roth
- Journal
- American Economic Review
In The Last Decade
doi.org/w8665226 →Countries where authors are citing Predicting How People Play Games: Reinforcement Learning in Experimental Games with Unique, Mixed Strategy Equilibria
This map shows the geographic impact of Predicting How People Play Games: Reinforcement Learning in Experimental Games with Unique, Mixed Strategy Equilibria. 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 Predicting How People Play Games: Reinforcement Learning in Experimental Games with Unique, Mixed Strategy Equilibria with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Predicting How People Play Games: Reinforcement Learning in Experimental Games with Unique, Mixed Strategy Equilibria more than expected).
Fields of papers citing Predicting How People Play Games: Reinforcement Learning in Experimental Games with Unique, Mixed Strategy Equilibria
This network shows the impact of Predicting How People Play Games: Reinforcement Learning in Experimental Games with Unique, Mixed Strategy Equilibria. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Predicting How People Play Games: Reinforcement Learning in Experimental Games with Unique, Mixed Strategy Equilibria.
About Predicting How People Play Games: Reinforcement Learning in Experimental Games with Unique, Mixed Strategy Equilibria
This paper, published in 1998, received 1.2k indexed citations . Written by Ido Erev and Alvin E. Roth covering the research area of General Decision Sciences, Safety Research and Management Science and Operations Research. It is primarily cited by scholars working on Management Science and Operations Research (578 citations), Safety Research (524 citations), Economics and Econometrics (329 citations), General Decision Sciences (256 citations) and Sociology and Political Science (246 citations). Published in 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.
This paper is also available at doi.org/w8665226.