Robin Baumgarten
Impact in
- Artificial Intelligence top 5%
- Artificial Intelligence in Games
- Reinforcement Learning in Robotics
- Evolutionary Algorithms and Applications
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- Video Analysis and Summarization
Papers in
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- Artificial Intelligence in Games 8
- AI-based Problem Solving and Planning 1
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- Video Analysis and Summarization 3
- Robotic Path Planning Algorithms 1
- Co-authors
- Simon Colton (6 shared papers)Julian Togelius (2 shared papers)Chong-U Lim (1 shared paper)Jeremy Gow (3 shared papers)Gillian Smith (1 shared paper)Ben G. Weber (1 shared paper)Paul C. Miller (2 shared papers)Philippe Pasquier (1 shared paper)
- Journals
- IEEE Transactions on Computational Intelligence and AI in Games (2 papers)Lecture notes in computer science (1 paper)Goldsmiths (University of London) (1 paper)
- Partner nations
- United KingdomDenmarkCanada
In The Last Decade
Robin Baumgarten
7 papers receiving 395 citations
Peers
Comparison fields: 5 of 48
- Artificial Intelligence 362
- Computer Vision and Pattern Recognition 155
- Developmental and Educational Psychology 53
- Sociology and Political Science 151
- Computer Graphics and Computer-Aided Design 10
Countries citing papers authored by Robin Baumgarten
This map shows the geographic impact of Robin Baumgarten'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 Robin Baumgarten with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robin Baumgarten more than expected).
Fields of papers citing papers by Robin Baumgarten
This network shows the impact of papers produced by Robin Baumgarten. 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 Robin Baumgarten. The network helps show where Robin Baumgarten may publish in the future.
Co-authors
The 14 scholars most cited alongside Robin Baumgarten, 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 | 2010 | 110 | |
| 2 | 2011 | 106 | |
| 3 | 2010 | 102 | |
| 4 | 2008 | 39 | |
| 5 | 2012 | 34 | |
| 6 | 2010 | 20 | |
| 7 | 2010 | 10 | |
| 8 | Towards the automatic invention of simple mixed reality games | 2009 | 0 |
About Robin Baumgarten
Robin Baumgarten is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Developmental and Educational Psychology, Sociology and Political Science and Clinical Psychology, having authored 8 papers that have together received 421 indexed citations. Recurring topics across this work include Artificial Intelligence in Games (8 papers), Digital Games and Media (4 papers), Video Analysis and Summarization (3 papers), Educational Games and Gamification (3 papers), AI-based Problem Solving and Planning (1 paper), Human Motion and Animation (1 paper), Gambling Behavior and Treatments (1 paper) and Robotic Path Planning Algorithms (1 paper). The work is most often cited by research in Artificial Intelligence (362 citations), Computer Vision and Pattern Recognition (155 citations), Developmental and Educational Psychology (53 citations), Sociology and Political Science (151 citations) and Computer Graphics and Computer-Aided Design (10 citations). Robin Baumgarten has collaborated with scholars based in United Kingdom, Denmark and Canada. Frequent co-authors include Simon Colton, Julian Togelius, Chong-U Lim, Jeremy Gow, Gillian Smith, Ben G. Weber, Paul C. Miller, Philippe Pasquier, Peter A. Mawhorter and Georgios N. Yannakakis. Their work appears in journals such as IEEE Transactions on Computational Intelligence and AI in Games, Lecture notes in computer science and Goldsmiths (University of London).
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.