Daniel Erickson
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
- Optical measurement and interference techniques
Papers in
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- Computer Graphics and Visualization Techniques 6
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- Advanced Vision and Imaging 6
- Advanced Data Compression Techniques 1
- Image and Signal Denoising Methods 1
- Advanced Image Processing Techniques 1
- Co-authors
- Ryan Overbeck (6 shared papers)Paul Ernest Debevec (6 shared papers)Matt Pharr (1 shared paper)Jason Dourgarian (3 shared papers)Jay Busch (3 shared papers)Michael J. Broxton (3 shared papers)Matthew DuVall (3 shared papers)John P. Flynn (3 shared papers)
- Journals
- ACM Transactions on Graphics (2 papers)MPG.PuRe (Max Planck Society) (1 paper)
- Partner nations
- United StatesGermanyJapan
In The Last Decade
Daniel Erickson
7 papers receiving 387 citations
Peers
Comparison fields: 5 of 39
- Computer Graphics and Computer-Aided Design 198
- Computer Vision and Pattern Recognition 367
- Media Technology 42
- Human-Computer Interaction 25
- Computational Mechanics 64
Countries citing papers authored by Daniel Erickson
This map shows the geographic impact of Daniel Erickson'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 Daniel Erickson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Erickson more than expected).
Fields of papers citing papers by Daniel Erickson
This network shows the impact of papers produced by Daniel Erickson. 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 Daniel Erickson. The network helps show where Daniel Erickson may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Erickson, 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 | 2020 | 204 | |
| 2 | 2018 | 122 | |
| 3 | Deep Relightable Textures Volumetric Performance Capture with Neural Rendering | 2020 | 48 |
| 4 | 2020 | 10 | |
| 5 | 2019 | 9 | |
| 6 | 2018 | 9 | |
| 7 | 2003 | 2 | |
| 8 | 2009 | 0 |
About Daniel Erickson
Daniel Erickson is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Media Technology, Signal Processing and Developmental and Educational Psychology, having authored 8 papers that have together received 404 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (6 papers), Advanced Vision and Imaging (6 papers), Advanced Optical Imaging Technologies (2 papers), Digital Games and Media (1 paper), Neural Networks and Applications (1 paper), Advanced Data Compression Techniques (1 paper), Image and Signal Denoising Methods (1 paper) and Advanced Image Processing Techniques (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (198 citations), Computer Vision and Pattern Recognition (367 citations), Media Technology (42 citations), Human-Computer Interaction (25 citations) and Computational Mechanics (64 citations). Daniel Erickson has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Ryan Overbeck, Paul Ernest Debevec, Matt Pharr, Jason Dourgarian, Jay Busch, Michael J. Broxton, Matthew DuVall, John P. Flynn, Matt Whalen and Peter Hedman. Their work appears in journals such as ACM Transactions on Graphics and MPG.PuRe (Max Planck Society).
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.