Mark Riedl
Impact in
- Artificial Intelligence top 0.2%
- Artificial Intelligence in Games
- Topic Modeling
- Natural Language Processing Techniques
- Explainable Artificial Intelligence (XAI)
- Health Informatics top 1%
Papers in
-
- Artificial Intelligence in Games 115
- Topic Modeling 37
- Natural Language Processing Techniques 22
- Reinforcement Learning in Robotics 19
-
- Digital Games and Media 56
- Co-authors
- R. Michael Young (14 shared papers)Alexander Zook (18 shared papers)Brent Harrison (17 shared papers)Vadim Bulitko (4 shared papers)Upol Ehsan (15 shared papers)Boyang Li (17 shared papers)Andrew Stern (3 shared papers)Prithviraj Ammanabrolu (9 shared papers)
- Journals
- AI Magazine (3 papers)IEEE Transactions on Computational Intelligence and AI in Games (2 papers)Proceedings of the ACM on Human-Computer Interaction (2 papers)Patterns (2 papers)Lecture notes in computer science (15 papers)
- Partner nations
- United StatesCanadaAustria
In The Last Decade
Mark Riedl
179 papers receiving 4.1k citations
Mark Riedl's Hit Papers
Peers
Comparison fields: 5 of 117
- Artificial Intelligence 3.4k
- Health Informatics 132
- Developmental and Educational Psychology 687
- Computer Vision and Pattern Recognition 1.1k
- Human-Computer Interaction 285
Countries citing papers authored by Mark Riedl
This map shows the geographic impact of Mark Riedl'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 Mark Riedl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Riedl more than expected).
Fields of papers citing papers by Mark Riedl
This network shows the impact of papers produced by Mark Riedl. 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 Mark Riedl. The network helps show where Mark Riedl may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Riedl, 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 183 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Narrative Planning: Balancing Plot and Character Hit paper breakdown → | 2010 | 376 |
| 2 | 2013 | 200 | |
| 3 | An architecture for integrating plan-based behavior generation with interactive game environments. | 2004 | 173 |
| 4 | 2003 | 166 | |
| 5 | 2006 | 158 | |
| 6 | 2019 | 148 | |
| 7 | 2013 | 138 | |
| 8 | 2004 | 127 | |
| 9 | 2018 | 119 | |
| 10 | 2006 | 98 | |
| 11 | 2011 | 79 | |
| 12 | 2018 | 68 | |
| 13 | 2022 | 67 | |
| 14 | 2021 | 67 | |
| 15 | 2009 | 65 | |
| 16 | 2022 | 65 | |
| 17 | Narrative generation: balancing plot and character | 2004 | 56 |
| 18 | 2006 | 53 | |
| 19 | 2012 | 51 | |
| 20 | 2019 | 51 |
About Mark Riedl
Mark Riedl is a scholar working on Artificial Intelligence, Sociology and Political Science, Computer Vision and Pattern Recognition, Control and Systems Engineering and Developmental and Educational Psychology, having authored 183 papers that have together received 4.5k indexed citations. Recurring topics across this work include Artificial Intelligence in Games (115 papers), Digital Games and Media (56 papers), Topic Modeling (37 papers), Human Motion and Animation (33 papers), Educational Games and Gamification (28 papers), Natural Language Processing Techniques (22 papers), Video Analysis and Summarization (21 papers) and Reinforcement Learning in Robotics (19 papers). The work is most often cited by research in Artificial Intelligence (3.4k citations), Health Informatics (132 citations), Developmental and Educational Psychology (687 citations), Computer Vision and Pattern Recognition (1.1k citations) and Human-Computer Interaction (285 citations). Mark Riedl has collaborated with scholars based in United States, Canada and Austria. Frequent co-authors include R. Michael Young, Alexander Zook, Brent Harrison, Vadim Bulitko, Upol Ehsan, Boyang Li, Andrew Stern, Prithviraj Ammanabrolu, Stephen Lee-Urban and Larry Chan. Their work appears in journals such as AI Magazine, IEEE Transactions on Computational Intelligence and AI in Games, Proceedings of the ACM on Human-Computer Interaction, Patterns and Lecture notes in computer science.
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.