Benjamin Van Roy
Impact in
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- Advanced Bandit Algorithms Research
- Artificial Intelligence top 0.5%
- Reinforcement Learning in Robotics
- Machine Learning and Algorithms
Papers in
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- Reinforcement Learning in Robotics 33
- Machine Learning and Algorithms 18
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- Advanced Bandit Algorithms Research 21
- Game Theory and Applications 8
- Auction Theory and Applications 8
- Co-authors
- John N. Tsitsiklis (15 shared papers)Daniela Pucci de Farias (8 shared papers)Daniel Russo (5 shared papers)Ciamac C. Moallemi (10 shared papers)Ian Osband (11 shared papers)Zheng Wen (10 shared papers)Abbas Kazerouni (3 shared papers)Vivek F. Farias (3 shared papers)
- Journals
- Operations Research (7 papers)Mathematics of Operations Research (6 papers)IEEE Transactions on Information Theory (5 papers)Machine Learning (3 papers)Discrete Event Dynamic Systems (2 papers)
- Partner nations
- United StatesUnited KingdomSingapore
In The Last Decade
Benjamin Van Roy
95 papers receiving 4.6k citations
Benjamin Van Roy's Hit Papers
Peers
Comparison fields: 5 of 135
- Management Science and Operations Research 1.5k
- Artificial Intelligence 2.0k
- Finance 586
- Management Information Systems 468
- Computer Networks and Communications 1.1k
Countries citing papers authored by Benjamin Van Roy
This map shows the geographic impact of Benjamin Van Roy'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 Benjamin Van Roy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin Van Roy more than expected).
Fields of papers citing papers by Benjamin Van Roy
This network shows the impact of papers produced by Benjamin Van Roy. 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 Benjamin Van Roy. The network helps show where Benjamin Van Roy may publish in the future.
Co-authors
The 25 scholars most cited alongside Benjamin Van Roy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | An analysis of temporal-difference learning with function approximation Hit paper breakdown → | 1997 | 722 |
| 2 | 2003 | 425 | |
| 3 | 2001 | 379 | |
| 4 | 1996 | 287 | |
| 5 | 2018 | 274 | |
| 6 | 2014 | 225 | |
| 7 | 2004 | 222 | |
| 8 | 1999 | 210 | |
| 9 | 2018 | 182 | |
| 10 | 2006 | 163 | |
| 11 | 2009 | 151 | |
| 12 | 2002 | 112 | |
| 13 | 1999 | 92 | |
| 14 | 2006 | 91 | |
| 15 | 2008 | 83 | |
| 16 | 2013 | 79 | |
| 17 | Oblivious Equilibrium: A Mean Field Approximation for Large-Scale Dynamic Games | 2005 | 64 |
| 18 | Solving Data Mining Problems Through Pattern Recognition | 1997 | 62 |
| 19 | 2001 | 60 | |
| 20 | 2010 | 57 |
About Benjamin Van Roy
Benjamin Van Roy is a scholar working on Artificial Intelligence, Management Science and Operations Research, Computer Networks and Communications, Economics and Econometrics and Electrical and Electronic Engineering, having authored 99 papers that have together received 5.0k indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (33 papers), Advanced Bandit Algorithms Research (21 papers), Machine Learning and Algorithms (18 papers), Optimization and Search Problems (11 papers), Economic theories and models (9 papers), Game Theory and Applications (8 papers), Auction Theory and Applications (8 papers) and Consumer Market Behavior and Pricing (8 papers). The work is most often cited by research in Management Science and Operations Research (1.5k citations), Artificial Intelligence (2.0k citations), Finance (586 citations), Management Information Systems (468 citations) and Computer Networks and Communications (1.1k citations). Benjamin Van Roy has collaborated with scholars based in United States, United Kingdom and Singapore. Frequent co-authors include John N. Tsitsiklis, Daniela Pucci de Farias, Daniel Russo, Ciamac C. Moallemi, Ian Osband, Zheng Wen, Abbas Kazerouni, Vivek F. Farias, Paat Rusmevichientong and Gabriel Y. Weintraub. Their work appears in journals such as Operations Research, Mathematics of Operations Research, IEEE Transactions on Information Theory, Machine Learning and Discrete Event Dynamic Systems.
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.