Austin Robison
Impact in
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- Computer Graphics and Visualization Techniques
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- Advanced Vision and Imaging
- Data Visualization and Analytics
Papers in
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- Advanced Vision and Imaging 6
- Image Enhancement Techniques 1
- Data Visualization and Analytics 1
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- Computer Graphics and Visualization Techniques 7
- Co-authors
- James Bigler (5 shared papers)Steven G. Parker (5 shared papers)Morgan McGuire (4 shared papers)Keith Morley (4 shared papers)Andreas Dietrich (4 shared papers)David Luebke (4 shared papers)Heiko Friedrich (4 shared papers)Jared Hoberock (4 shared papers)
- Partner nations
- United StatesUnited KingdomTürkiye
In The Last Decade
Austin Robison
9 papers receiving 596 citations
Austin Robison's Hit Papers
Peers
Comparison fields: 5 of 59
- Computer Graphics and Computer-Aided Design 345
- Computer Vision and Pattern Recognition 346
- Hardware and Architecture 64
- Computational Mechanics 167
- Instrumentation 18
Countries citing papers authored by Austin Robison
This map shows the geographic impact of Austin Robison'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 Austin Robison with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Austin Robison more than expected).
Fields of papers citing papers by Austin Robison
This network shows the impact of papers produced by Austin Robison. 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 Austin Robison. The network helps show where Austin Robison may publish in the future.
Co-authors
The 18 scholars most cited alongside Austin Robison, 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 | OptiX Hit paper breakdown → | 2010 | 482 |
| 2 | 2010 | 70 | |
| 3 | 2013 | 22 | |
| 4 | 2009 | 20 | |
| 5 | 2010 | 11 | |
| 6 | 2007 | 10 | |
| 7 | 2022 | 4 | |
| 8 | 2011 | 2 | |
| 9 | 2011 | 1 |
About Austin Robison
Austin Robison is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Computational Mechanics, Control and Systems Engineering and Computer Networks and Communications, having authored 9 papers that have together received 622 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (7 papers), Advanced Vision and Imaging (6 papers), 3D Shape Modeling and Analysis (4 papers), Simulation and Modeling Applications (2 papers), Color Science and Applications (1 paper), Image Enhancement Techniques (1 paper), Smart Grid Security and Resilience (1 paper) and Data Visualization and Analytics (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (345 citations), Computer Vision and Pattern Recognition (346 citations), Hardware and Architecture (64 citations), Computational Mechanics (167 citations) and Instrumentation (18 citations). Austin Robison has collaborated with scholars based in United States, United Kingdom and Türkiye. Frequent co-authors include James Bigler, Steven G. Parker, Morgan McGuire, Keith Morley, Andreas Dietrich, David Luebke, Heiko Friedrich, Jared Hoberock, David McAllister and Peter Shirley. Their work appears in journals such as ACM Transactions on Graphics and Communications of the ACM.
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.