Benjamin Van Roy
About
In The Last Decade
Benjamin Van Roy
95 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Artificial Intelligence 2.0k
- Management Science and Operations Research 1.5k
- Computer Networks and Communications 1.1k
- Computational Theory and Mathematics 732
- Electrical and Electronic Engineering 729
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-authorship network of co-authors of Benjamin Van Roy
This figure shows the co-authorship network connecting the top 25 collaborators of Benjamin Van Roy. A scholar is included among the top collaborators of Benjamin Van Roy 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 Benjamin Van Roy. Benjamin Van Roy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | On the Performance of Thompson Sampling on Logistic Bandits | 1 |
| 4 | Scalable Coordinated Exploration in Concurrent Reinforcement Learning | 3 |
| 5 | Ensemble Sampling | 4 |
| 6 | Model-based Reinforcement Learning and the Eluder Dimension | 7 |
| 7 | Efficient Exploration and Value Function Generalization in Deterministic Systems | 5 |
| 8 | Eluder Dimension and the Sample Complexity of Optimistic Exploration | 14 |
| 9 | Convergence of Min-Sum Message-Passing for Convex Optimization | 5 |
| 10 | Directed Regression | 11 |
| 11 | Oblivious Equilibrium: A Mean Field Approximation for Large-Scale Dynamic Games | 64 |
| 12 | Consensus Propagation | 11 |
| 13 | Solitaire: Man Versus Machine | 17 |
| 14 | A Cost-Shaping LP for Bellman Error Minimization with Performance Guarantees | 3 |
| 15 | Distributed Optimization in Adaptive Networks | 28 |
| 16 | An Analysis of Turbo Decoding with Gaussian Densities | 11 |
| 17 | Approximate Solutions to Optimal Stopping Problems | 3 |
| 18 | Analysis of temporal-difference learning with function approximation | 14 |
| 19 | Analysis of Temporal-Diffference Learning with Function Approximation | 55 |
| 20 | Stable LInear Approximations to Dynamic Programming for Stochastic Control Problems with Local Transitions | 7 |
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.