Stephen Ehmann
Impact in
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- Computational Geometry and Mesh Generation
- Computer Graphics and Visualization Techniques
- Human-Computer Interaction top 5%
- Virtual Reality Applications and Impacts
Papers in
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- Computational Geometry and Mesh Generation 3
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- Robotic Path Planning Algorithms 3
- Co-authors
- Ming C. Lin (4 shared papers)Arthur Gregory (5 shared papers)Ming–Chieh Lin (3 shared papers)Ajith Mascarenhas (2 shared papers)Dinesh Manocha (2 shared papers)
- Journals
- Computer Graphics Forum (1 paper)The Journal of Visualization and Computer Animation (1 paper)IEEE Visualization (2 papers)
- Partner nations
- United States
In The Last Decade
Stephen Ehmann
7 papers receiving 411 citations
Peers
Comparison fields: 5 of 39
- Computer Graphics and Computer-Aided Design 164
- Human-Computer Interaction 149
- Computer Vision and Pattern Recognition 254
- Mechanical Engineering 193
- Cognitive Neuroscience 89
Countries citing papers authored by Stephen Ehmann
This map shows the geographic impact of Stephen Ehmann'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 Stephen Ehmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Ehmann more than expected).
Fields of papers citing papers by Stephen Ehmann
This network shows the impact of papers produced by Stephen Ehmann. 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 Stephen Ehmann. The network helps show where Stephen Ehmann may publish in the future.
Co-authors
The 5 scholars most cited alongside Stephen Ehmann, 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 | 2001 | 211 | |
| 2 | 2000 | 89 | |
| 3 | 2002 | 77 | |
| 4 | 2002 | 70 | |
| 5 | 2001 | 8 | |
| 6 | Six Degree-of-Freedom Haptic Display | 2000 | 4 |
| 7 | SWIFT: Accelerated Proximity Queries Using Multi-Level Voronoi Marching | 2000 | 4 |
| 8 | Contact Determination for Real-time Haptic Interaction in 3D Modeling, Editing and Painting | 1999 | 0 |
About Stephen Ehmann
Stephen Ehmann is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Aerospace Engineering, Mechanical Engineering and Human-Computer Interaction, having authored 8 papers that have together received 463 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (3 papers), Virtual Reality Applications and Impacts (3 papers), Teleoperation and Haptic Systems (3 papers), Robotic Path Planning Algorithms (3 papers), Computational Geometry and Mesh Generation (3 papers), Tactile and Sensory Interactions (2 papers), Hermeneutics and Narrative Identity (1 paper) and Interactive and Immersive Displays (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (164 citations), Human-Computer Interaction (149 citations), Computer Vision and Pattern Recognition (254 citations), Mechanical Engineering (193 citations) and Cognitive Neuroscience (89 citations). Stephen Ehmann has collaborated with scholars based in United States. Frequent co-authors include Ming C. Lin, Arthur Gregory, Ming–Chieh Lin, Ajith Mascarenhas and Dinesh Manocha. Their work appears in journals such as Computer Graphics Forum, The Journal of Visualization and Computer Animation and IEEE Visualization.
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.