Eric Penner
Impact in
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- Computer Graphics and Visualization Techniques
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- Advanced Vision and Imaging
- Advanced Image Processing Techniques
- Image Enhancement Techniques
- Generative Adversarial Networks and Image Synthesis
Papers in
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- Advanced Vision and Imaging 6
- Advanced Image Processing Techniques 3
- Image Enhancement Techniques 2
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- Advanced Optical Imaging Technologies 3
- Co-authors
- Li Zhang (1 shared paper)Ross G. Mitchell (1 shared paper)Douglas Lanman (6 shared papers)J.R. Parker (1 shared paper)Grace Kuo (2 shared papers)Nathan Matsuda (3 shared papers)Benjamin Letham (1 shared paper)Lei Xiao (1 shared paper)
- Journals
- ACM Transactions on Graphics (1 paper)Eurographics (1 paper)
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
Eric Penner
10 papers receiving 253 citations
Peers
Comparison fields: 5 of 33
- Computer Graphics and Computer-Aided Design 151
- Computer Vision and Pattern Recognition 230
- Media Technology 31
- Human-Computer Interaction 18
- Computational Mechanics 53
Countries citing papers authored by Eric Penner
This map shows the geographic impact of Eric Penner'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 Penner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Penner more than expected).
Fields of papers citing papers by Eric Penner
This network shows the impact of papers produced by Eric Penner. 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 Penner. The network helps show where Eric Penner may publish in the future.
Co-authors
The 14 scholars most cited alongside Eric Penner, 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 | 2017 | 220 | |
| 2 | 2008 | 15 | |
| 3 | 2023 | 7 | |
| 4 | 2023 | 6 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 3 | |
| 7 | 2007 | 3 | |
| 8 | 2014 | 2 | |
| 9 | 2023 | 2 | |
| 10 | 2023 | 1 | |
| 11 | A GPU Cluster Without the Clutter: A Drop-in Scalable Programmable-Pipeline with Several GPUs and Only One PC | 2006 | 0 |
About Eric Penner
Eric Penner is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Computer Graphics and Computer-Aided Design, Cognitive Neuroscience and Human-Computer Interaction, having authored 11 papers that have together received 263 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (6 papers), Advanced Image Processing Techniques (3 papers), Computer Graphics and Visualization Techniques (3 papers), Advanced Optical Imaging Technologies (3 papers), Virtual Reality Applications and Impacts (2 papers), Image Enhancement Techniques (2 papers), Tactile and Sensory Interactions (1 paper) and 3D Shape Modeling and Analysis (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (151 citations), Computer Vision and Pattern Recognition (230 citations), Media Technology (31 citations), Human-Computer Interaction (18 citations) and Computational Mechanics (53 citations). Eric Penner has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Li Zhang, Ross G. Mitchell, Douglas Lanman, J.R. Parker, Grace Kuo, Nathan Matsuda, Benjamin Letham, Lei Xiao, Numair Khan and Timothy N. Lambert. Their work appears in journals such as ACM Transactions on Graphics and Eurographics.
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.