David H. Wolpert
- Artificial Intelligence top 0.02%
- Computational Theory and Mathematics top 0.05%
- Computer Vision and Pattern Recognition top 0.5%
- Electrical and Electronic Engineering top 2%
- Control and Systems Engineering top 0.5%
- Co-authors
- William G. MacreadyRon KohaviKagan TumerArtemy KolchinskyBette KorberPadhraic SmythDavid R. WolfStefan Bieniawski
- Topics
- Game Theory and Applications (28 papers)Advanced Thermodynamics and Statistical Mechanics (26 papers)Reinforcement Learning in Robotics (17 papers)
- Cited by
- Artificial IntelligenceComputational Theory and MathematicsManagement Science and Operations Research
- Partner nations
- United StatesAustriaItaly
In The Last Decade
David H. Wolpert
139 papers receiving 17.7k citations
Hit Papers
Peers
Comparison fields: 5 of 223
- Artificial Intelligence 10.0k
- Computational Theory and Mathematics 3.4k
- Computer Vision and Pattern Recognition 1.9k
- Electrical and Electronic Engineering 1.7k
- Control and Systems Engineering 1.4k
Countries citing papers authored by David H. Wolpert
This map shows the geographic impact of David H. Wolpert'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 David H. Wolpert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David H. Wolpert more than expected).
Fields of papers citing papers by David H. Wolpert
This network shows the impact of papers produced by David H. Wolpert. 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 David H. Wolpert. The network helps show where David H. Wolpert may publish in the future.
Co-authorship network of co-authors of David H. Wolpert
This figure shows the co-authorship network connecting the top 25 collaborators of David H. Wolpert. A scholar is included among the top collaborators of David H. Wolpert 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 David H. Wolpert. David H. Wolpert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | Entropy production and thermodynamics of information under protocol constraints | 2 |
| 3 | Semantic information, agency, and nonequilibrium statistical physics | 1 |
| 4 | Exact, complete expressions for the thermodynamic costs of circuits. | 0 |
| 5 | Bayesian Optimization with a Finite Budget: An Approximate Dynamic Programming Approach | 29 |
| 6 | Extending Landauer's Bound to Arbitrary Computation | 1 |
| 7 | A framework for optimal high-level descriptions in science and engineering - preliminary report. | 2 |
| 8 | Using machine learning to improve stochastic optimization | 3 |
| 9 | What the No Free Lunch Theorems Really Mean; How to Improve Search Algorithms | 9 |
| 10 | Modeling Humans as Reinforcement Learners: How to Predict Human Behavior in Multi-Stage Games | 2 |
| 11 | 17 | |
| 12 | Trembling Hand Perfection for Mixed Quantal Response/Nash Equilibria | 2 |
| 13 | Collective Intelligence and Braess' Paradox | 58 |
| 14 | Distributed Control with Collective Intelligence | 2 |
| 15 | Anytime exploratory data analysis for massive data sets | 15 |
| 16 | Stacked Density Estimation | 32 |
| 17 | Bias plus variance decomposition for zero-one loss functions | 386 |
| 18 | Mathematics of Generalization: Proceedings: SFI-CNLS Workshop on Formal Approaches to Supervised Learning (1992: Santa Fe, N. M.) | 8 |
| 19 | On the Use of Evidence in Neural Networks | 8 |
| 20 | The relationship between Occam's razor and convergent guessing. | 14 |
About David H. Wolpert
David H. Wolpert is a scholar working on Management Science and Operations Research, General Decision Sciences and Statistical and Nonlinear Physics, having authored 148 papers that have together received 18.5k indexed citations. Recurring topics across this work include Game Theory and Applications (28 papers), Advanced Thermodynamics and Statistical Mechanics (26 papers) and Reinforcement Learning in Robotics (17 papers). The work is most often cited by research in Artificial Intelligence (10.0k citations), Computational Theory and Mathematics (3.4k citations) and Management Science and Operations Research (1.3k citations). David H. Wolpert has collaborated with scholars based in United States, Austria and Italy. Frequent co-authors include William G. Macready, Ron Kohavi, Kagan Tumer, Artemy Kolchinsky, Bette Korber, Padhraic Smyth, David R. Wolf, Stefan Bieniawski, Robert M. Farber and Alan S. Lapedes. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Physical Review Letters.
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.