Steve Sutphen
Impact in
- Human-Computer Interaction top 10%
- Interactive and Immersive Displays
- Artificial Intelligence top 10%
- Artificial Intelligence in Games
- Reinforcement Learning in Robotics
- Evolutionary Algorithms and Applications
Papers in
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- Augmented Reality Applications 5
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- Spatial Cognition and Navigation 4
- Co-authors
- Neil Burch (2 shared papers)Yngvi Björnsson (2 shared papers)Jonathan Schaeffer (2 shared papers)Robert W. Lake (2 shared papers)Akihiro Kishimoto (2 shared papers)Martin Müller (1 shared paper)Paul Lu (1 shared paper)Benjamin Watson (5 shared papers)
- Journals
- Science (1 paper)International Journal of Human-Computer Studies (1 paper)Studies in health technology and informatics (1 paper)International Joint Conference on Artificial Intelligence (1 paper)
- Partner nations
- CanadaUnited StatesJapan
In The Last Decade
Steve Sutphen
6 papers receiving 245 citations
Peers
Comparison fields: 5 of 63
- Human-Computer Interaction 45
- Artificial Intelligence 196
- Developmental and Educational Psychology 41
- General Decision Sciences 6
- Computer Vision and Pattern Recognition 65
Countries citing papers authored by Steve Sutphen
This map shows the geographic impact of Steve Sutphen'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 Steve Sutphen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steve Sutphen more than expected).
Fields of papers citing papers by Steve Sutphen
This network shows the impact of papers produced by Steve Sutphen. 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 Steve Sutphen. The network helps show where Steve Sutphen may publish in the future.
Co-authors
The 17 scholars most cited alongside Steve Sutphen, 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 | 2007 | 197 | |
| 2 | 2002 | 45 | |
| 3 | Solving checkers | 2005 | 22 |
| 4 | 2008 | 17 | |
| 5 | Reviving a Tangible Interface Affording 3D Spatial Interaction | 2000 | 7 |
| 6 | 2002 | 2 | |
| 7 | 2009 | 1 | |
| 8 | Printing Virtual Reality Interfaces - The Cognitive Map Probe | 2001 | 0 |
About Steve Sutphen
Steve Sutphen is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering, Human-Computer Interaction, Sociology and Political Science and Artificial Intelligence, having authored 8 papers that have together received 291 indexed citations. Recurring topics across this work include Augmented Reality Applications (5 papers), Spatial Cognition and Navigation (4 papers), Gaze Tracking and Assistive Technology (2 papers), Interactive and Immersive Displays (2 papers), Artificial Intelligence in Games (2 papers), Digital Games and Media (2 papers), Educational Games and Gamification (2 papers) and Tactile and Sensory Interactions (1 paper). The work is most often cited by research in Human-Computer Interaction (45 citations), Artificial Intelligence (196 citations), Developmental and Educational Psychology (41 citations), General Decision Sciences (6 citations) and Computer Vision and Pattern Recognition (65 citations). Steve Sutphen has collaborated with scholars based in Canada, United States and Japan. Frequent co-authors include Neil Burch, Yngvi Björnsson, Jonathan Schaeffer, Robert W. Lake, Akihiro Kishimoto, Martin Müller, Paul Lu, Benjamin Watson, Ehud Sharlin and Yuichi Itoh. Their work appears in journals such as Science, International Journal of Human-Computer Studies, Studies in health technology and informatics and International Joint Conference on Artificial Intelligence.
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.