Eric LaMar
Impact in
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- Computer Graphics and Visualization Techniques
- Computational Geometry and Mesh Generation
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- Advanced Vision and Imaging
- Data Visualization and Analytics
- Medical Image Segmentation Techniques
- Digital Image Processing Techniques
Papers in
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- Computer Graphics and Visualization Techniques 9
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- Data Visualization and Analytics 4
- Advanced Vision and Imaging 2
- Digital Image Processing Techniques 1
- Medical Image Segmentation Techniques 1
- Co-authors
- Bernd Hamann (8 shared papers)Kenneth I. Joy (8 shared papers)Valerio Pascucci (1 shared paper)Mark A. Duchaineau (1 shared paper)
- Journals
- IEEE Sensors Journal (1 paper)Mathematics and visualization (1 paper)The Journal of Visualization and Computer Animation (1 paper)Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (3 papers)eScholarship (California Digital Library) (1 paper)
- Partner nations
- United States
In The Last Decade
Eric LaMar
9 papers receiving 349 citations
Peers
Comparison fields: 5 of 35
- Computer Graphics and Computer-Aided Design 314
- Computer Vision and Pattern Recognition 289
- Computational Mechanics 165
- Human-Computer Interaction 20
- Geochemistry and Petrology 18
Countries citing papers authored by Eric LaMar
This map shows the geographic impact of Eric LaMar'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 Eric LaMar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric LaMar more than expected).
Fields of papers citing papers by Eric LaMar
This network shows the impact of papers produced by Eric LaMar. 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 Eric LaMar. The network helps show where Eric LaMar may publish in the future.
Co-authors
The 4 scholars most cited alongside Eric LaMar, 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 | 204 | |
| 2 | 2002 | 48 | |
| 3 | Multiresolution Techniques for Interactive Texture-Based Volume Visualization | 1999 | 46 |
| 4 | 2000 | 21 | |
| 5 | 2003 | 16 | |
| 6 | 2004 | 12 | |
| 7 | 2000 | 9 | |
| 8 | 1999 | 9 | |
| 9 | 2004 | 1 | |
| 10 | 2003 | 0 |
About Eric LaMar
Eric LaMar is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Computational Mechanics, Signal Processing and Geochemistry and Petrology, having authored 10 papers that have together received 366 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (9 papers), 3D Shape Modeling and Analysis (6 papers), Data Visualization and Analytics (4 papers), Data Management and Algorithms (3 papers), Advanced Vision and Imaging (2 papers), Interactive and Immersive Displays (1 paper), Digital Image Processing Techniques (1 paper) and Medical Image Segmentation Techniques (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (314 citations), Computer Vision and Pattern Recognition (289 citations), Computational Mechanics (165 citations), Human-Computer Interaction (20 citations) and Geochemistry and Petrology (18 citations). Eric LaMar has collaborated with scholars based in United States. Frequent co-authors include Bernd Hamann, Kenneth I. Joy, Valerio Pascucci and Mark A. Duchaineau. Their work appears in journals such as IEEE Sensors Journal, Mathematics and visualization, The Journal of Visualization and Computer Animation, Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE and eScholarship (California Digital Library).
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.