Mark S. Peercy
Impact in
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- Computer Graphics and Visualization Techniques
- Computational Geometry and Mesh Generation
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- Advanced Vision and Imaging
- Image Enhancement Techniques
Papers in
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- Computer Graphics and Visualization Techniques 10
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- Advanced Vision and Imaging 3
- Image Enhancement Techniques 2
- Co-authors
- John Airey (2 shared papers)P. Jeffrey Ungar (1 shared paper)Marc Olano (1 shared paper)Brian Cabral (1 shared paper)Mark Segal (2 shared papers)Lambertus Hesselink (3 shared papers)Pat Hanrahan (1 shared paper)Daniel Baum (2 shared papers)
- Journals
- Color Research & Application (1 paper)Open MIND (1 paper)Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (1 paper)Applied Optics (1 paper)IEEE Visualization (1 paper)
- Partner nations
- United States
In The Last Decade
Mark S. Peercy
11 papers receiving 296 citations
Peers
Comparison fields: 5 of 56
- Computer Graphics and Computer-Aided Design 243
- Computer Vision and Pattern Recognition 203
- Hardware and Architecture 56
- Computational Mechanics 126
- Media Technology 29
Countries citing papers authored by Mark S. Peercy
This map shows the geographic impact of Mark S. Peercy'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 Mark S. Peercy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark S. Peercy more than expected).
Fields of papers citing papers by Mark S. Peercy
This network shows the impact of papers produced by Mark S. Peercy. 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 Mark S. Peercy. The network helps show where Mark S. Peercy may publish in the future.
Co-authors
The 8 scholars most cited alongside Mark S. Peercy, 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 | 2000 | 119 | |
| 2 | 1997 | 75 | |
| 3 | 1993 | 67 | |
| 4 | 2006 | 43 | |
| 5 | Visual Computing | 2000 | 21 |
| 6 | 1994 | 20 | |
| 7 | 1995 | 8 | |
| 8 | 1996 | 5 | |
| 9 | A Performance-Oriented Data Parallel Virtual Machine for GPUs (sketches_0451) | 2006 | 4 |
| 10 | "Linear Color Representations in Full Spectral Rendering," Computer Graphics | 1993 | 3 |
| 11 | 1993 | 1 | |
| 12 | 1994 | 1 |
About Mark S. Peercy
Mark S. Peercy is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics, Media Technology and Computer Networks and Communications, having authored 12 papers that have together received 367 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (10 papers), Color Science and Applications (4 papers), Advanced Optical Imaging Technologies (3 papers), Advanced Vision and Imaging (3 papers), Parallel Computing and Optimization Techniques (2 papers), 3D Shape Modeling and Analysis (2 papers), Distributed and Parallel Computing Systems (2 papers) and Image Enhancement Techniques (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (243 citations), Computer Vision and Pattern Recognition (203 citations), Hardware and Architecture (56 citations), Computational Mechanics (126 citations) and Media Technology (29 citations). Mark S. Peercy has collaborated with scholars based in United States. Frequent co-authors include John Airey, P. Jeffrey Ungar, Marc Olano, Brian Cabral, Mark Segal, Lambertus Hesselink, Pat Hanrahan and Daniel Baum. Their work appears in journals such as Color Research & Application, Open MIND, Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE, Applied Optics 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.