Benjamin Van Roy

10.8k citations
106 papers · 5.7k · 2 hit papers · h-index 33

Impact in

Papers in

Benjamin Van Roy

102 papers receiving 5.3k citations

Benjamin Van Roy's Hit Papers

A Tutorial on Thompson Sampling 2018 · 312 citations
3120+9+19Years since publication250500750

Peers

Benjamin Van Roy
Comparison fields: 5 of 139
  • Management Science and Operations Research 1.7k
  • Artificial Intelligence 2.4k
  • Finance 643
  • Management Information Systems 519
  • Computer Networks and Communications 1.3k
Replace Vivek S. Borkar with:
Vivek S. Borkar India
Xiaotie Deng Hong Kong
Y. C. Ho United States
Eitan Altman France
Shu‐Cherng Fang United States
Csaba Szepesvári Canada
Nicolò Cesa‐Bianchi Italy
Clifford Stein United States
Gérard Cornuéjols United States
Edward Tsang United Kingdom
Benjamin Van Roy relative to Vivek S. Borkar India Vivek S. Borkar's profile →
Citations per field
00.5×1.5×
Vivek S. Borkar · 1×
Citations per year

Countries citing papers authored by Benjamin Van Roy

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Benjamin Van Roy Line = papers co-authored together Benjamin Van Roy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 106 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 →
1997827
2 2003459
3 2001413
4 1996323
5
A Tutorial on Thompson Sampling
Hit paper breakdown →
2018312
6 2004256
7 2014244
8 1999224
9 2018199
10 2006173
11 2009154
12 2002119
13 1999106
14 2006103
15 201393
16 200493
17 200886
18
Solving Data Mining Problems Through Pattern Recognition
199772
19
Oblivious Equilibrium: A Mean Field Approximation for Large-Scale Dynamic Games
200571
20 200162

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 Computational Theory and Mathematics, having authored 106 papers that have together received 5.7k indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (36 papers), Advanced Bandit Algorithms Research (22 papers), Machine Learning and Algorithms (18 papers), Optimization and Search Problems (12 papers), Economic theories and models (10 papers), Auction Theory and Applications (10 papers), Stochastic processes and financial applications (8 papers) and Game Theory and Applications (8 papers). The work is most often cited by research in Management Science and Operations Research (1.7k citations), Artificial Intelligence (2.4k citations), Finance (643 citations), Management Information Systems (519 citations) and Computer Networks and Communications (1.3k 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, Ian Osband, Ciamac C. Moallemi, Zheng Wen, Vivek F. Farias, Abbas Kazerouni, 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 IEEE Transactions on Automatic Control.

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.

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