Sam Maes
Impact in
- Artificial Intelligence top 5%
- Imbalanced Data Classification Techniques
- Bayesian Modeling and Causal Inference
- Reinforcement Learning in Robotics
- Privacy-Preserving Technologies in Data
- Anomaly Detection Techniques and Applications
- Multi-Agent Systems and Negotiation
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- Cybercrime and Law Enforcement Studies
Papers in
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- Bayesian Modeling and Causal Inference 13
- Reinforcement Learning in Robotics 5
- Multi-Agent Systems and Negotiation 3
- Imbalanced Data Classification Techniques 1
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- Game Theory and Applications 2
- Co-authors
- Bernard Manderick (17 shared papers)Karl Tuyls (9 shared papers)Bram Jasper Vanschoenwinkel (1 shared paper)Stijn Meganck (7 shared papers)Katja Verbeeck (3 shared papers)Tom Lenaerts (2 shared papers)Joke Reumers (1 shared paper)Ann Nowé (1 shared paper)
- Journals
- International Journal of Approximate Reasoning (1 paper)Lecture notes in computer science (1 paper)Studies in computational intelligence (1 paper)VUBIR (Vrije Universiteit Brussel) (9 papers)The Florida AI Research Society (1 paper)
In The Last Decade
Sam Maes
19 papers receiving 300 citations
Peers
Comparison fields: 5 of 32
- Artificial Intelligence 297
- Information Systems 35
- Statistics and Probability 16
- Accounting 14
- Management Information Systems 8
Countries citing papers authored by Sam Maes
This map shows the geographic impact of Sam Maes'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 Sam Maes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sam Maes more than expected).
Fields of papers citing papers by Sam Maes
This network shows the impact of papers produced by Sam Maes. 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 Sam Maes. The network helps show where Sam Maes may publish in the future.
Co-authors
The 9 scholars most cited alongside Sam Maes, 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 | Credit Card Fraud Detection Using Bayesian and Neural Networks | 2002 | 276 |
| 2 | Towards a relation between learning agents and evolutionary dynamics | 2002 | 13 |
| 3 | 2003 | 13 | |
| 4 | 2006 | 8 | |
| 5 | 2004 | 6 | |
| 6 | 2006 | 6 | |
| 7 | Learning Semi-Markovian Causal Models using Experiments | 2006 | 6 |
| 8 | Modeling a Multi-Agent Environment. Combining Influence Diagrams | 2001 | 4 |
| 9 | Multi-Agent Identification of Causal Effects | 2004 | 3 |
| 10 | Identification of Causal Effects in Multi-Agent Causal Models. | 2005 | 3 |
| 11 | 2007 | 3 | |
| 12 | Niching and evolutionary transitions in multi-agent systems | 2001 | 2 |
| 13 | Q-Learning in Simulated Robotic Soccer - Large State Spaces and Incomplete Information. | 2002 | 2 |
| 14 | Identification in Chain Multi-Agent Causal Models | 2005 | 2 |
| 15 | 2008 | 2 | |
| 16 | Combining Influence Diagrams to Model Agents | 2001 | 1 |
| 17 | Reinforcement Learning in Large State Spaces - Simulated Robotic Soccer as a testbed | 2002 | 1 |
| 18 | Identification in Chain Multi-Agent Causal Models. | 2005 | 1 |
| 19 | 2006 | 1 |
About Sam Maes
Sam Maes is a scholar working on Artificial Intelligence, Management Science and Operations Research, Sociology and Political Science, Statistical and Nonlinear Physics and Statistics and Probability, having authored 19 papers that have together received 353 indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (13 papers), Reinforcement Learning in Robotics (5 papers), Multi-Agent Systems and Negotiation (3 papers), Evolutionary Game Theory and Cooperation (3 papers), Game Theory and Applications (2 papers), Imbalanced Data Classification Techniques (1 paper), Complex Systems and Dynamics (1 paper) and Advanced Causal Inference Techniques (1 paper). The work is most often cited by research in Artificial Intelligence (297 citations), Information Systems (35 citations), Statistics and Probability (16 citations), Accounting (14 citations) and Management Information Systems (8 citations). Sam Maes has collaborated with scholars based in Belgium and France. Frequent co-authors include Bernard Manderick, Karl Tuyls, Bram Jasper Vanschoenwinkel, Stijn Meganck, Katja Verbeeck, Tom Lenaerts, Joke Reumers, Ann Nowé and Piet van Remortel. Their work appears in journals such as International Journal of Approximate Reasoning, Lecture notes in computer science, Studies in computational intelligence, VUBIR (Vrije Universiteit Brussel) and The Florida AI Research Society.
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.