Marc Ponsen
Impact in
- Artificial Intelligence top 5%
- Artificial Intelligence in Games
- Reinforcement Learning in Robotics
- Evolutionary Algorithms and Applications
-
- Educational Games and Gamification
Papers in
-
- Artificial Intelligence in Games 10
- Evolutionary Algorithms and Applications 5
- Reinforcement Learning in Robotics 5
-
- Gambling Behavior and Treatments 4
- Co-authors
- Pieter SpronckI.G. Sprinkhuizen-KuyperEric PostmaHéctor Muñoz‐AvilaDavid W. AhaKarl TuylsJan RamonMarc Lanctot
- Journals
- Science of Computer Programming (1 paper)Machine Learning (1 paper)IEEE Transactions on Computational Intelligence and AI in Games (1 paper)Entertainment Computing (1 paper)Research portal (Tilburg University) (2 papers)
- Partner nations
- NetherlandsBelgiumCanada
In The Last Decade
Marc Ponsen
12 papers receiving 272 citations
Peers
Comparison fields: 5 of 53
- Artificial Intelligence 248
- Developmental and Educational Psychology 60
- Management Science and Operations Research 33
- Sociology and Political Science 96
- Computer Vision and Pattern Recognition 42
Countries citing papers authored by Marc Ponsen
This map shows the geographic impact of Marc Ponsen'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 Marc Ponsen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Ponsen more than expected).
Fields of papers citing papers by Marc Ponsen
This network shows the impact of papers produced by Marc Ponsen. 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 Marc Ponsen. The network helps show where Marc Ponsen may publish in the future.
Co-authorship network
The 14 scholars most cited alongside Marc Ponsen, 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 | 2014 | 22 | |
| 2 | Integrating opponent models with Monte-Carlo tree search in poker | 2010 | 21 |
| 3 | MCRNR: fast computing of restricted Nash responses by means of sampling | 2010 | 3 |
| 4 | 2009 | 1 | |
| 5 | 2009 | 9 | |
| 6 | 2009 | 18 | |
| 7 | Bayes-relational learning of opponent models from incomplete information in no-limit poker | 2008 | 15 |
| 8 | The dynamics of human behaviour in poker | 2008 | 3 |
| 9 | Bayes-relational opponent modeling in poker | 2008 | 0 |
| 10 | Keeping adaptive game AI interesting | 2008 | 3 |
| 11 | 2007 | 24 | |
| 12 | Towards relational hierarchical reinforcement learning in computer games | 2007 | 2 |
| 13 | 2006 | 163 | |
| 14 | Automatically acquiring domain knowledge for adaptive game AI using evolutionary learning | 2005 | 18 |
About Marc Ponsen
Marc Ponsen is a scholar working on Artificial Intelligence, Clinical Psychology, Economics and Econometrics, Management Science and Operations Research and Sociology and Political Science, having authored 14 papers that have together received 302 indexed citations. Recurring topics across this work include Artificial Intelligence in Games (10 papers), Evolutionary Algorithms and Applications (5 papers), Sports Analytics and Performance (5 papers), Reinforcement Learning in Robotics (5 papers), Gambling Behavior and Treatments (4 papers), Evolution and Genetic Dynamics (2 papers), Game Theory and Applications (2 papers) and Evolutionary Game Theory and Cooperation (2 papers). The work is most often cited by research in Artificial Intelligence (248 citations), Developmental and Educational Psychology (60 citations), Management Science and Operations Research (33 citations), Sociology and Political Science (96 citations) and Computer Vision and Pattern Recognition (42 citations). Marc Ponsen has collaborated with scholars based in Netherlands, Belgium and Canada. Frequent co-authors include Pieter Spronck, I.G. Sprinkhuizen-Kuyper, Eric Postma, Héctor Muñoz‐Avila, David W. Aha, Karl Tuyls, Jan Ramon, Marc Lanctot, Guillaume Chaslot and Michael Kaisers. Their work appears in journals such as Science of Computer Programming, Machine Learning, IEEE Transactions on Computational Intelligence and AI in Games, Entertainment Computing and Research portal (Tilburg University).
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.