Eric Tabellion
Impact in
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- Computer Graphics and Visualization Techniques
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- Advanced Image Processing Techniques
- Generative Adversarial Networks and Image Synthesis
- Advanced Vision and Imaging
- Video Surveillance and Tracking Methods
Papers in
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- Computer Graphics and Visualization Techniques 8
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- Generative Adversarial Networks and Image Synthesis 3
- Advanced Image Processing Techniques 1
- Co-authors
- Janne Kontkanen (3 shared papers)Caroline Pantofaru (1 shared paper)Fitsum A. Reda (1 shared paper)Deqing Sun (1 shared paper)Brian Curless (1 shared paper)Ryan Overbeck (1 shared paper)Gregory Johnson (1 shared paper)Ben Poole (1 shared paper)
- Journals
- ACM Transactions on Graphics (1 paper)Computer Graphics Forum (1 paper)Lecture notes in computer science (1 paper)Eurographics (1 paper)ACM SIGGRAPH Talks (1 paper)
- Partner nations
- United StatesIsraelCzechia
In The Last Decade
Eric Tabellion
9 papers receiving 255 citations
Peers
Comparison fields: 5 of 40
- Computer Graphics and Computer-Aided Design 156
- Computer Vision and Pattern Recognition 88
- Structural Biology 2
- Media Technology 7
- Signal Processing 6
Countries citing papers authored by Eric Tabellion
This map shows the geographic impact of Eric Tabellion'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 Tabellion with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Tabellion more than expected).
Fields of papers citing papers by Eric Tabellion
This network shows the impact of papers produced by Eric Tabellion. 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 Tabellion. The network helps show where Eric Tabellion may publish in the future.
Co-authors
The 21 scholars most cited alongside Eric Tabellion, 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 | 2022 | 100 | |
| 2 | 2004 | 89 | |
| 3 | 2011 | 19 | |
| 4 | 2024 | 17 | |
| 5 | 2004 | 16 | |
| 6 | 2014 | 14 | |
| 7 | 2017 | 13 | |
| 8 | 2008 | 7 | |
| 9 | 2017 | 2 | |
| 10 | 2025 | 0 |
About Eric Tabellion
Eric Tabellion is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Nuclear Energy and Engineering, Waste Management and Disposal and Infectious Diseases, having authored 10 papers that have together received 277 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (8 papers), Generative Adversarial Networks and Image Synthesis (3 papers) and Advanced Image Processing Techniques (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (156 citations), Computer Vision and Pattern Recognition (88 citations), Structural Biology (2 citations), Media Technology (7 citations) and Signal Processing (6 citations). Eric Tabellion has collaborated with scholars based in United States, Israel and Czechia. Frequent co-authors include Janne Kontkanen, Caroline Pantofaru, Fitsum A. Reda, Deqing Sun, Brian Curless, Ryan Overbeck, Gregory Johnson, Ben Poole, Daniel Watson and Sven Woop. Their work appears in journals such as ACM Transactions on Graphics, Computer Graphics Forum, Lecture notes in computer science, Eurographics and ACM SIGGRAPH Talks.
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.