Eric Veach
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
- Data Visualization and Analytics
Papers in
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- Computer Graphics and Visualization Techniques 7
- Computational Geometry and Mesh Generation 2
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- Image Enhancement Techniques 3
- Advanced Vision and Imaging 2
- Robotic Path Planning Algorithms 2
- Co-authors
- Leonidas Guibas (7 shared papers)John Hershberger (2 shared papers)Pankaj K. Agarwal (2 shared papers)
- Journals
- Discrete & Computational Geometry (1 paper)Lecture notes in computer science (1 paper)Eurographics (1 paper)ACM eBooks (1 paper)
- Partner nations
- United StatesHungaryFrance
In The Last Decade
Eric Veach
9 papers receiving 1.6k citations
Eric Veach's Hit Papers
Peers
Comparison fields: 5 of 88
- Computer Graphics and Computer-Aided Design 1.4k
- Computer Vision and Pattern Recognition 1.2k
- Acoustics and Ultrasonics 25
- Computational Mechanics 561
- Instrumentation 58
Countries citing papers authored by Eric Veach
This map shows the geographic impact of Eric Veach'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 Veach with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Veach more than expected).
Fields of papers citing papers by Eric Veach
This network shows the impact of papers produced by Eric Veach. 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 Veach. The network helps show where Eric Veach may publish in the future.
Co-authors
The 3 scholars most cited alongside Eric Veach, 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 | Robust Monte Carlo methods for light transport simulation Hit paper breakdown → | 1997 | 509 |
| 2 | Optimally combining sampling techniques for Monte Carlo rendering Hit paper breakdown → | 1995 | 458 |
| 3 | 1997 | 370 | |
| 4 | 2000 | 213 | |
| 5 | 1995 | 211 | |
| 6 | 2001 | 27 | |
| 7 | 1996 | 10 | |
| 8 | 1997 | 10 | |
| 9 | 2023 | 1 |
About Eric Veach
Eric Veach is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Computational Mechanics, Atomic and Molecular Physics, and Optics and Signal Processing, having authored 9 papers that have together received 1.8k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (7 papers), Color Science and Applications (3 papers), Image Enhancement Techniques (3 papers), 3D Shape Modeling and Analysis (3 papers), Data Management and Algorithms (2 papers), Advanced Vision and Imaging (2 papers), Robotic Path Planning Algorithms (2 papers) and Computational Geometry and Mesh Generation (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (1.4k citations), Computer Vision and Pattern Recognition (1.2k citations), Acoustics and Ultrasonics (25 citations), Computational Mechanics (561 citations) and Instrumentation (58 citations). Eric Veach has collaborated with scholars based in United States, Hungary and France. Frequent co-authors include Leonidas Guibas, John Hershberger and Pankaj K. Agarwal. Their work appears in journals such as Discrete & Computational Geometry, Lecture notes in computer science, Eurographics and ACM eBooks.
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.