Jonathan Schaeffer
Impact in
- Artificial Intelligence top 0.2%
- Artificial Intelligence in Games
- AI-based Problem Solving and Planning
- Reinforcement Learning in Robotics
- Hardware and Architecture top 1%
- Parallel Computing and Optimization Techniques
Papers in
-
- Artificial Intelligence in Games 105
- AI-based Problem Solving and Planning 36
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- Distributed and Parallel Computing Systems 29
- Co-authors
- Duane Szafron (69 shared papers)Adi Botea (8 shared papers)Martin Müller (8 shared papers)Joseph Culberson (6 shared papers)Darse Billings (11 shared papers)Robert C. Holte (21 shared papers)Paul Lu (16 shared papers)Neil Burch (12 shared papers)
- Journals
- Artificial Intelligence (9 papers)Journal of Parallel and Distributed Computing (5 papers)ICGA Journal (30 papers)Journal of Artificial Intelligence Research (3 papers)Parallel Computing (3 papers)
- Partner nations
- CanadaUnited StatesIsrael
In The Last Decade
Jonathan Schaeffer
234 papers receiving 4.8k citations
Peers
Comparison fields: 5 of 127
- Artificial Intelligence 4.0k
- Hardware and Architecture 568
- Computer Networks and Communications 1.4k
- Computer Vision and Pattern Recognition 1.2k
- Software 223
Countries citing papers authored by Jonathan Schaeffer
This map shows the geographic impact of Jonathan Schaeffer'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 Jonathan Schaeffer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Schaeffer more than expected).
Fields of papers citing papers by Jonathan Schaeffer
This network shows the impact of papers produced by Jonathan Schaeffer. 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 Jonathan Schaeffer. The network helps show where Jonathan Schaeffer may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan Schaeffer, 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 253 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Near Optimal Hierarchical Path-Finding. | 2004 | 269 |
| 2 | 2007 | 258 | |
| 3 | 2002 | 195 | |
| 4 | Approximating game-theoretic optimal strategies for full-scale poker | 2003 | 159 |
| 5 | 1989 | 159 | |
| 6 | 1992 | 152 | |
| 7 | 2005 | 135 | |
| 8 | 1992 | 119 | |
| 9 | 2014 | 114 | |
| 10 | 1997 | 114 | |
| 11 | 1996 | 111 | |
| 12 | Opponent modeling in poker | 1998 | 105 |
| 13 | 1998 | 99 | |
| 14 | 1993 | 94 | |
| 15 | 1996 | 89 | |
| 16 | 1993 | 81 | |
| 17 | Memory-based heuristics for explicit state spaces | 2009 | 77 |
| 18 | 2001 | 77 | |
| 19 | 2010 | 66 | |
| 20 | 2002 | 65 |
About Jonathan Schaeffer
Jonathan Schaeffer is a scholar working on Artificial Intelligence, Computer Networks and Communications, Sociology and Political Science, Economics and Econometrics and Hardware and Architecture, having authored 253 papers that have together received 5.5k indexed citations. Recurring topics across this work include Artificial Intelligence in Games (105 papers), Digital Games and Media (49 papers), Sports Analytics and Performance (36 papers), AI-based Problem Solving and Planning (36 papers), Parallel Computing and Optimization Techniques (33 papers), Educational Games and Gamification (30 papers), Distributed and Parallel Computing Systems (29 papers) and Robotic Path Planning Algorithms (21 papers). The work is most often cited by research in Artificial Intelligence (4.0k citations), Hardware and Architecture (568 citations), Computer Networks and Communications (1.4k citations), Computer Vision and Pattern Recognition (1.2k citations) and Software (223 citations). Jonathan Schaeffer has collaborated with scholars based in Canada, United States and Israel. Frequent co-authors include Duane Szafron, Adi Botea, Martin Müller, Joseph Culberson, Darse Billings, Robert C. Holte, Paul Lu, Neil Burch, Ariel Felner and Nathan Sturtevant. Their work appears in journals such as Artificial Intelligence, Journal of Parallel and Distributed Computing, ICGA Journal, Journal of Artificial Intelligence Research and Parallel Computing.
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.