Noam Brown
- Artificial Intelligence top 2%
- Management Science and Operations Research top 5%
- Economics and Econometrics top 10%
- Sociology and Political Science
- Clinical Psychology
- Co-authors
- Tüomas SandholmSam GanzfriedChristian KroerGabriele FarinaAdam LererBrandon AmosAnton Bakhtin
- Topics
- Artificial Intelligence in Games (17 papers)Reinforcement Learning in Robotics (9 papers)Gambling Behavior and Treatments (5 papers)
- Journals
- SciencearXiv (Cornell University)Figshare
- Partner nations
- United StatesIsraelFrance
In The Last Decade
Noam Brown
19 papers receiving 649 citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Artificial Intelligence 495
- Management Science and Operations Research 170
- Economics and Econometrics 109
- Sociology and Political Science 105
- Clinical Psychology 69
Countries citing papers authored by Noam Brown
This map shows the geographic impact of Noam Brown'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 Noam Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noam Brown more than expected).
Fields of papers citing papers by Noam Brown
This network shows the impact of papers produced by Noam Brown. 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 Noam Brown. The network helps show where Noam Brown may publish in the future.
Co-authorship network of co-authors of Noam Brown
This figure shows the co-authorship network connecting the top 25 collaborators of Noam Brown. A scholar is included among the top collaborators of Noam Brown 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 Noam Brown. Noam Brown is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | Combining Deep Reinforcement Learning and Search for Imperfect-Information Games | 1 |
| 3 | 2 | |
| 4 | Superhuman AI for multiplayer pokerbreakdown → | 285 |
| 5 | Depth-Limited Solving for Imperfect-Information Games | 1 |
| 6 | 5 | |
| 7 | Safe and Nested Endgame Solving for Imperfect-Information Games. | 8 |
| 8 | Reduced Space and Faster Convergence in Imperfect-Information Games via Pruning | 6 |
| 9 | Safe and Nested Subgame Solving for Imperfect-Information Games | 18 |
| 10 | 249 | |
| 11 | 16 | |
| 12 | 34 | |
| 13 | Baby tartanian8: winning agent from the 2016 annual computer poker competition | 1 |
| 14 | Reduced Space and Faster Convergence in Imperfect-Information Games via Regret-Based Pruning. | 2 |
| 15 | 8 | |
| 16 | Regret-based pruning in extensive-form games | 13 |
| 17 | 24 | |
| 18 | 4 | |
| 19 | 14 |
About Noam Brown
Noam Brown is a scholar working on Management Science and Operations Research, General Decision Sciences and Artificial Intelligence, having authored 19 papers that have together received 692 indexed citations. Recurring topics across this work include Artificial Intelligence in Games (17 papers), Reinforcement Learning in Robotics (9 papers) and Gambling Behavior and Treatments (5 papers). The work is most often cited by research in Artificial Intelligence (495 citations), Management Science and Operations Research (170 citations) and Safety Research (39 citations). Noam Brown has collaborated with scholars based in United States, Israel and France. Frequent co-authors include Tüomas Sandholm, Sam Ganzfried, Christian Kroer, Gabriele Farina, Adam Lerer, Brandon Amos and Anton Bakhtin. Their work appears in journals such as Science, arXiv (Cornell University) and Figshare.
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.