John Funge
Impact in
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- Human Pose and Action Recognition
- Video Analysis and Summarization
- Robotic Path Planning Algorithms
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- Human Motion and Animation
Papers in
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- Artificial Intelligence in Games 7
- AI-based Problem Solving and Planning 5
- Intelligent Tutoring Systems and Adaptive Learning 2
- Cognitive Science and Mapping 1
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- Constraint Satisfaction and Optimization 1
- Co-authors
- Xiaoyuan Tu (2 shared papers)Demetri Terzopoulos (1 shared paper)Ian Millington (2 shared papers)Christopher F. Chabris (1 shared paper)Eric J. Strauss (1 shared paper)Kenneth A. Egol (1 shared paper)Ran Schwarzkopf (1 shared paper)
- Journals
- Computer (1 paper)Communications of the ACM (1 paper)Reliable Computing (1 paper)International Journal of Medical Education (1 paper)Morgan Kaufmann Publishers Inc. eBooks (1 paper)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
John Funge
13 papers receiving 424 citations
Peers
Comparison fields: 5 of 65
- Computer Vision and Pattern Recognition 220
- Control and Systems Engineering 215
- Ocean Engineering 120
- Artificial Intelligence 236
- Computer Graphics and Computer-Aided Design 19
Countries citing papers authored by John Funge
This map shows the geographic impact of John Funge'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 John Funge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Funge more than expected).
Fields of papers citing papers by John Funge
This network shows the impact of papers produced by John Funge. 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 John Funge. The network helps show where John Funge may publish in the future.
Co-authors
The 7 scholars most cited alongside John Funge, 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 | 1999 | 255 | |
| 2 | 2018 | 71 | |
| 3 | Artificial Intelligence for Games, Second Edition | 2009 | 35 |
| 4 | 2004 | 25 | |
| 5 | Artificial Intelligence for Computer Games: An Introduction | 2004 | 25 |
| 6 | 2000 | 18 | |
| 7 | AI for Games and Animation: A Cognitive Modeling Approach | 1999 | 16 |
| 8 | 1999 | 13 | |
| 9 | 1999 | 11 | |
| 10 | 1997 | 4 | |
| 11 | 2008 | 3 | |
| 12 | 2017 | 2 | |
| 13 | Cognitive Modeling for Computer Games | 1999 | 2 |
About John Funge
John Funge is a scholar working on Artificial Intelligence, Computer Networks and Communications, Social Psychology, Control and Systems Engineering and Sociology and Political Science, having authored 13 papers that have together received 480 indexed citations. Recurring topics across this work include Artificial Intelligence in Games (7 papers), AI-based Problem Solving and Planning (5 papers), Intelligent Tutoring Systems and Adaptive Learning (2 papers), Constraint Satisfaction and Optimization (1 paper), Cognitive Science and Mapping (1 paper), Digital Games and Media (1 paper), Numerical Methods and Algorithms (1 paper) and Human Motion and Animation (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (220 citations), Control and Systems Engineering (215 citations), Ocean Engineering (120 citations), Artificial Intelligence (236 citations) and Computer Graphics and Computer-Aided Design (19 citations). John Funge has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Xiaoyuan Tu, Demetri Terzopoulos, Ian Millington, Christopher F. Chabris, Eric J. Strauss, Kenneth A. Egol and Ran Schwarzkopf. Their work appears in journals such as Computer, Communications of the ACM, Reliable Computing, International Journal of Medical Education and Morgan Kaufmann Publishers Inc. eBooks.
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.