John Funge
Impact in
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- Human Pose and Action Recognition
- Robotic Path Planning Algorithms
- Video Analysis and Summarization
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- Human Motion and Animation
Papers in
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- Artificial Intelligence in Games 6
- AI-based Problem Solving and Planning 4
- Intelligent Tutoring Systems and Adaptive Learning 2
- Cognitive Science and Mapping 1
- Co-authors
- Xiaoyuan Tu (1 shared paper)Demetri Terzopoulos (1 shared paper)Ian Millington (9 shared papers)Kenneth A. Egol (1 shared paper)Eric Jason Strauss (1 shared paper)Christopher F. Chabris (1 shared paper)Ran M. Schwarzkopf (1 shared paper)
- Journals
- Communications of the ACM (1 paper)Computer (1 paper)Reliable Computing (1 paper)International Journal of Medical Education (1 paper)Elsevier eBooks (5 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
John Funge
19 papers receiving 587 citations
Peers
Comparison fields: 5 of 74
- Computer Vision and Pattern Recognition 285
- Control and Systems Engineering 280
- Artificial Intelligence 334
- Ocean Engineering 140
- Human-Computer Interaction 44
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 | 311 | |
| 2 | 2018 | 86 | |
| 3 | Artificial Intelligence for Games, Second Edition | 2009 | 49 |
| 4 | 2004 | 40 | |
| 5 | Artificial Intelligence for Computer Games: An Introduction | 2004 | 36 |
| 6 | 2009 | 25 | |
| 7 | 2000 | 23 | |
| 8 | AI for Games and Animation: A Cognitive Modeling Approach | 1999 | 21 |
| 9 | 1999 | 20 | |
| 10 | 1999 | 12 | |
| 11 | 2009 | 8 | |
| 12 | 2008 | 5 | |
| 13 | 2018 | 3 | |
| 14 | 2009 | 3 | |
| 15 | 2017 | 2 | |
| 16 | Cognitive Modeling for Computer Games | 1999 | 2 |
| 17 | 2018 | 1 | |
| 18 | 2009 | 1 | |
| 19 | 2009 | 1 |
About John Funge
John Funge is a scholar working on Artificial Intelligence, Gender Studies, Computational Theory and Mathematics, Computational Mechanics and Control and Systems Engineering, having authored 19 papers that have together received 649 indexed citations. Recurring topics across this work include Artificial Intelligence in Games (6 papers), AI-based Problem Solving and Planning (4 papers), Intelligent Tutoring Systems and Adaptive Learning (2 papers), Human Motion and Animation (1 paper), Advanced Numerical Analysis Techniques (1 paper), Innovations in Medical Education (1 paper), Cognitive Science and Mapping (1 paper) and Numerical Methods and Algorithms (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (285 citations), Control and Systems Engineering (280 citations), Artificial Intelligence (334 citations), Ocean Engineering (140 citations) and Human-Computer Interaction (44 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, Kenneth A. Egol, Eric Jason Strauss, Christopher F. Chabris and Ran M. Schwarzkopf. Their work appears in journals such as Communications of the ACM, Computer, Reliable Computing, International Journal of Medical Education and Elsevier 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.