Thomas Dean
Impact in
- Artificial Intelligence top 0.2%
- AI-based Problem Solving and Planning
- Bayesian Modeling and Causal Inference
- Logic, Reasoning, and Knowledge
- Reinforcement Learning in Robotics
- Machine Learning and Algorithms
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- Constraint Satisfaction and Optimization
Papers in
-
- AI-based Problem Solving and Planning 33
- Logic, Reasoning, and Knowledge 19
- Bayesian Modeling and Causal Inference 14
- Reinforcement Learning in Robotics 10
- Machine Learning and Algorithms 7
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- Formal Methods in Verification 16
- Co-authors
- Mark BoddyKeiji KanazawaRobert GivanDrew McDermottMichael P. WellmanLeslie Pack KaelblingSonia M. LeachJak Kirman
- Journals
- Artificial Intelligence (8 papers)Machine Learning (3 papers)AI Magazine (3 papers)Annals of Operations Research (2 papers)ACM Computing Surveys (2 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Thomas Dean
77 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 156
- Artificial Intelligence 3.1k
- Computer Networks and Communications 1.1k
- Software 165
- Signal Processing 408
- Computational Theory and Mathematics 568
Countries citing papers authored by Thomas Dean
This map shows the geographic impact of Thomas Dean'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 Thomas Dean with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Dean more than expected).
Fields of papers citing papers by Thomas Dean
This network shows the impact of papers produced by Thomas Dean. 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 Thomas Dean. The network helps show where Thomas Dean may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Thomas Dean, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 2 | |
| 3 | On the prospects for building a working model of the visual cortex | 2007 | 7 |
| 4 | Scalable Inference in Hierarchical Generative Models | 2006 | 11 |
| 5 | A computational model of the cerebral cortex | 2005 | 29 |
| 6 | Solving factored MDPs via non-homogeneous partitioning | 2001 | 3 |
| 7 | Solving very large weakly coupled Markov decision processes | 1998 | 126 |
| 8 | Solving stochastic planning problems with large state and action spaces | 1998 | 10 |
| 9 | Model minimization in Markov decision processes | 1997 | 108 |
| 10 | Model minimization, regression, and propositional STRIPS planning | 1997 | 8 |
| 11 | Planning under uncertainty: structural assumptions and computational leverage | 1996 | 68 |
| 12 | Generating optimal policies for high-level plans with conditional branches and loops | 1996 | 7 |
| 13 | Decomposition Techniques for Planning in Stochastic Domains | 1995 | 88 |
| 14 | Solving time-critical decision-making problems with predictable computational demands | 1994 | 10 |
| 15 | 1993 | 11 | |
| 16 | 1991 | 268 | |
| 17 | Coping with uncertainty in a control system for navigation and exploration | 1990 | 35 |
| 18 | Probabilistic temporal reasoning | 1988 | 115 |
| 19 | An analysis of time-dependent planning Hit paper breakdown → | 1988 | 489 |
| 20 | Large-scale temporal data bases for planning in complex domains | 1987 | 10 |
About Thomas Dean
Thomas Dean is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications, Software and Biophysics, having authored 85 papers that have together received 4.6k indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (33 papers), Logic, Reasoning, and Knowledge (19 papers), Constraint Satisfaction and Optimization (18 papers), Formal Methods in Verification (16 papers), Bayesian Modeling and Causal Inference (14 papers), Reinforcement Learning in Robotics (10 papers), Machine Learning and Algorithms (7 papers) and Neural dynamics and brain function (7 papers). The work is most often cited by research in Artificial Intelligence (3.1k citations), Computer Networks and Communications (1.1k citations), Software (165 citations), Signal Processing (408 citations) and Computational Theory and Mathematics (568 citations). Thomas Dean has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Mark Boddy, Keiji Kanazawa, Robert Givan, Drew McDermott, Michael P. Wellman, Leslie Pack Kaelbling, Sonia M. Leach, Jak Kirman, Ann E. Nicholson and David Cox. Their work appears in journals such as Artificial Intelligence, Machine Learning, AI Magazine, Annals of Operations Research and ACM Computing Surveys.
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.