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 2%
- Parallel Computing and Optimization Techniques
Papers in ⓘ
-
- Artificial Intelligence in Games 82
- AI-based Problem Solving and Planning 30
-
- Parallel Computing and Optimization Techniques 24
- Co-authors
- Duane Szafron (59 shared papers)Adi Botea (7 shared papers)Martin Müller (7 shared papers)Robert C. Holte (18 shared papers)Darse Billings (9 shared papers)Ariel Felner (18 shared papers)Nathan Sturtevant (24 shared papers)Paul Lu (15 shared papers)
- Journals
- Artificial Intelligence (9 papers)Journal of Parallel and Distributed Computing (5 papers)ICGA Journal (28 papers)Parallel Computing (3 papers)Journal of Artificial Intelligence Research (3 papers)
- Partner nations
- CanadaIsraelUnited States
In The Last Decade
Jonathan Schaeffer
187 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 119
- Artificial Intelligence 2.8k
- Hardware and Architecture 437
- Computer Vision and Pattern Recognition 913
- Computer Networks and Communications 1.0k
- Software 166
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 200 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Near Optimal Hierarchical Path-Finding. | 2004 | 239 |
| 2 | 2007 | 197 | |
| 3 | 2002 | 156 | |
| 4 | Approximating game-theoretic optimal strategies for full-scale poker | 2003 | 129 |
| 5 | 1992 | 121 | |
| 6 | 1989 | 121 | |
| 7 | 2014 | 110 | |
| 8 | 2005 | 109 | |
| 9 | 1992 | 97 | |
| 10 | Opponent modeling in poker | 1998 | 89 |
| 11 | 1997 | 85 | |
| 12 | 1993 | 78 | |
| 13 | Memory-based heuristics for explicit state spaces | 2009 | 71 |
| 14 | 1998 | 63 | |
| 15 | 2001 | 62 | |
| 16 | 1996 | 62 | |
| 17 | 2010 | 62 | |
| 18 | 2002 | 49 | |
| 19 | 1993 | 49 | |
| 20 | 2011 | 47 |
About Jonathan Schaeffer
Jonathan Schaeffer is a scholar working on Artificial Intelligence, Hardware and Architecture, Computer Networks and Communications, Development and Software, having authored 200 papers that have together received 4.0k indexed citations. Recurring topics across this work include Artificial Intelligence in Games (82 papers), Digital Games and Media (41 papers), Sports Analytics and Performance (31 papers), AI-based Problem Solving and Planning (30 papers), Distributed and Parallel Computing Systems (24 papers), Parallel Computing and Optimization Techniques (24 papers), Educational Games and Gamification (23 papers) and Robotic Path Planning Algorithms (18 papers). The work is most often cited by research in Artificial Intelligence (2.8k citations), Hardware and Architecture (437 citations), Computer Vision and Pattern Recognition (913 citations), Computer Networks and Communications (1.0k citations) and Software (166 citations). Jonathan Schaeffer has collaborated with scholars based in Canada, Israel and United States. Frequent co-authors include Duane Szafron, Adi Botea, Martin Müller, Robert C. Holte, Darse Billings, Ariel Felner, Nathan Sturtevant, Paul Lu, Neil Burch and Joseph Culberson. Their work appears in journals such as Artificial Intelligence, Journal of Parallel and Distributed Computing, ICGA Journal, Parallel Computing and Journal of Artificial Intelligence Research.
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.