John Barrus
Impact in
- Human-Computer Interaction top 5%
- Virtual Reality Applications and Impacts
- Interactive and Immersive Displays
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- Computer Graphics and Visualization Techniques
Papers in
-
- Context-Aware Activity Recognition Systems 2
- Video Analysis and Summarization 2
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- Computer Graphics and Visualization Techniques 2
- Computational Geometry and Mesh Generation 2
- Co-authors
- Richard C. Waters (6 shared papers)David Anderson (4 shared papers)Chia Shen (1 shared paper)Charles Rich (1 shared paper)Eng Hock Tay (1 shared paper)Woodie C. Flowers (1 shared paper)William Yerazunis (1 shared paper)Michael A. Casey (1 shared paper)
- Journals
- IEEE Computer Graphics and Applications (1 paper)PRESENCE Virtual and Augmented Reality (1 paper)Research in Engineering Design (1 paper)IEEE Multimedia (1 paper)IEEE Spectrum (1 paper)
- Partner nations
- United StatesJapanSingapore
In The Last Decade
John Barrus
8 papers receiving 359 citations
Peers
Comparison fields: 5 of 43
- Human-Computer Interaction 91
- Computer Graphics and Computer-Aided Design 41
- Computer Networks and Communications 188
- Computer Vision and Pattern Recognition 115
- Control and Systems Engineering 64
Countries citing papers authored by John Barrus
This map shows the geographic impact of John Barrus'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 Barrus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Barrus more than expected).
Fields of papers citing papers by John Barrus
This network shows the impact of papers produced by John Barrus. 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 Barrus. The network helps show where John Barrus may publish in the future.
Co-authors
The 10 scholars most cited alongside John Barrus, 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 | 1996 | 102 | |
| 2 | 1996 | 90 | |
| 3 | 1997 | 66 | |
| 4 | 1995 | 56 | |
| 5 | 1997 | 56 | |
| 6 | 1998 | 23 | |
| 7 | 1997 | 7 | |
| 8 | 2008 | 4 | |
| 9 | 2009 | 1 |
About John Barrus
John Barrus is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Control and Systems Engineering, Sociology and Political Science and Signal Processing, having authored 9 papers that have together received 405 indexed citations. Recurring topics across this work include Data Management and Algorithms (2 papers), Context-Aware Activity Recognition Systems (2 papers), Interactive and Immersive Displays (2 papers), Computer Graphics and Visualization Techniques (2 papers), Video Analysis and Summarization (2 papers), Multimedia Communication and Technology (2 papers), Computational Geometry and Mesh Generation (2 papers) and Evacuation and Crowd Dynamics (1 paper). The work is most often cited by research in Human-Computer Interaction (91 citations), Computer Graphics and Computer-Aided Design (41 citations), Computer Networks and Communications (188 citations), Computer Vision and Pattern Recognition (115 citations) and Control and Systems Engineering (64 citations). John Barrus has collaborated with scholars based in United States, Japan and Singapore. Frequent co-authors include Richard C. Waters, David Anderson, Chia Shen, Charles Rich, Eng Hock Tay, Woodie C. Flowers, William Yerazunis, Michael A. Casey, David C. Brogan and Michael Gormish. Their work appears in journals such as IEEE Computer Graphics and Applications, PRESENCE Virtual and Augmented Reality, Research in Engineering Design, IEEE Multimedia and IEEE Spectrum.
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.