William Freeman
Impact in
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- Computer Graphics and Visualization Techniques
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- Data Visualization and Analytics
- Advanced Vision and Imaging
- Video Analysis and Summarization
- Image Retrieval and Classification Techniques
- Advanced Image and Video Retrieval Techniques
- Medical Image Segmentation Techniques
Papers in
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- Advanced Image and Video Retrieval Techniques 1
- Music Technology and Sound Studies 1
- Advanced Vision and Imaging 1
- Augmented Reality Applications 1
- Co-authors
- Joe Marks (2 shared papers)Hanspeter Pfister (2 shared papers)Stuart M. Shieber (1 shared paper)Simon Gibson (1 shared paper)Taewoong Kang (1 shared paper)Wheeler Ruml (1 shared paper)Paul Beardsley (1 shared paper)Jessica K. Hodgins (1 shared paper)
- Partner nations
- United StatesGermanyJapan
In The Last Decade
William Freeman
4 papers receiving 424 citations
Peers
Comparison fields: 5 of 64
- Computer Graphics and Computer-Aided Design 220
- Computer Vision and Pattern Recognition 354
- Human-Computer Interaction 41
- Computational Mechanics 96
- Computer Science Applications 23
Countries citing papers authored by William Freeman
This map shows the geographic impact of William Freeman'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 William Freeman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Freeman more than expected).
Fields of papers citing papers by William Freeman
This network shows the impact of papers produced by William Freeman. 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 William Freeman. The network helps show where William Freeman may publish in the future.
Co-authors
The 16 scholars most cited alongside William Freeman, 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 | 1997 | 407 | |
| 2 | Part and Appearance Sharing: Recursive Compositional Models for Multi-View Multi-Object Detection | 2010 | 31 |
| 3 | 2001 | 17 | |
| 4 | 2007 | 2 |
About William Freeman
William Freeman is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Computer Science Applications and Human-Computer Interaction, having authored 4 papers that have together received 457 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (1 paper), Interactive and Immersive Displays (1 paper), Advanced Image and Video Retrieval Techniques (1 paper), Music Technology and Sound Studies (1 paper), Image Processing Techniques and Applications (1 paper), Educational Games and Gamification (1 paper), Advanced Vision and Imaging (1 paper) and Augmented Reality Applications (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (220 citations), Computer Vision and Pattern Recognition (354 citations), Human-Computer Interaction (41 citations), Computational Mechanics (96 citations) and Computer Science Applications (23 citations). William Freeman has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Joe Marks, Hanspeter Pfister, Stuart M. Shieber, Simon Gibson, Taewoong Kang, Wheeler Ruml, Paul Beardsley, Jessica K. Hodgins, Brian Mirtich and Kathy Ryall. Their work appears in journals such as IEEE Computer Graphics and Applications.
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.