Michael Mateas
Impact in
- Artificial Intelligence top 0.2%
- Artificial Intelligence in Games
- Reinforcement Learning in Robotics
- Human-Computer Interaction top 0.5%
- Innovative Human-Technology Interaction
Papers in
-
- Artificial Intelligence in Games 178
- Multi-Agent Systems and Negotiation 26
- Topic Modeling 14
-
- Digital Games and Media 123
- Co-authors
- Andrew Stern (11 shared papers)Noah Wardrip–Fruin (93 shared papers)Adam M. Smith (15 shared papers)Mark Nelson (17 shared papers)Ben Weber (11 shared papers)Zachary Pousman (5 shared papers)Jim Whitehead (10 shared papers)Mike Treanor (20 shared papers)
- Journals
- IEEE Transactions on Computational Intelligence and AI in Games (5 papers)Lecture notes in computer science (25 papers)Personal and Ubiquitous Computing (2 papers)Leonardo (2 papers)IEEE Intelligent Systems (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Michael Mateas
251 papers receiving 6.0k citations
Peers
Comparison fields: 5 of 119
- Artificial Intelligence 4.6k
- Human-Computer Interaction 769
- Developmental and Educational Psychology 1.5k
- Computer Vision and Pattern Recognition 1.7k
- Sociology and Political Science 3.1k
Countries citing papers authored by Michael Mateas
This map shows the geographic impact of Michael Mateas'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 Michael Mateas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Mateas more than expected).
Fields of papers citing papers by Michael Mateas
This network shows the impact of papers produced by Michael Mateas. 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 Michael Mateas. The network helps show where Michael Mateas may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Mateas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 260 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Facade: An Experiment in Building a Fully-Realized Interactive Drama | 2003 | 339 |
| 2 | 2007 | 319 | |
| 3 | 1999 | 200 | |
| 4 | 2005 | 168 | |
| 5 | 2009 | 166 | |
| 6 | 2002 | 164 | |
| 7 | Interactive drama, art and artificial intelligence | 2002 | 143 |
| 8 | 2011 | 139 | |
| 9 | 2005 | 138 | |
| 10 | 2001 | 136 | |
| 11 | 2011 | 123 | |
| 12 | 2007 | 110 | |
| 13 | 2010 | 103 | |
| 14 | 1996 | 93 | |
| 15 | 2007 | 91 | |
| 16 | 2006 | 89 | |
| 17 | 2009 | 88 | |
| 18 | 2001 | 81 | |
| 19 | 2010 | 78 | |
| 20 | 2013 | 70 |
About Michael Mateas
Michael Mateas is a scholar working on Artificial Intelligence, Sociology and Political Science, Developmental and Educational Psychology, Control and Systems Engineering and Computer Vision and Pattern Recognition, having authored 260 papers that have together received 6.6k indexed citations. Recurring topics across this work include Artificial Intelligence in Games (178 papers), Digital Games and Media (123 papers), Educational Games and Gamification (53 papers), Human Motion and Animation (50 papers), Multi-Agent Systems and Negotiation (26 papers), Video Analysis and Summarization (20 papers), Data Visualization and Analytics (15 papers) and Topic Modeling (14 papers). The work is most often cited by research in Artificial Intelligence (4.6k citations), Human-Computer Interaction (769 citations), Developmental and Educational Psychology (1.5k citations), Computer Vision and Pattern Recognition (1.7k citations) and Sociology and Political Science (3.1k citations). Michael Mateas has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Andrew Stern, Noah Wardrip–Fruin, Adam M. Smith, Mark Nelson, Ben Weber, Zachary Pousman, Jim Whitehead, Mike Treanor, Gillian Smith and John Stasko. Their work appears in journals such as IEEE Transactions on Computational Intelligence and AI in Games, Lecture notes in computer science, Personal and Ubiquitous Computing, Leonardo and IEEE Intelligent Systems.
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.