P. Torr
Impact in
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- Video Surveillance and Tracking Methods
- Advanced Image and Video Retrieval Techniques
- Advanced Neural Network Applications
- Advanced Vision and Imaging
- Face and Expression Recognition
- Human Pose and Action Recognition
- Medical Image Segmentation Techniques
- Image and Object Detection Techniques
Papers in
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- Image and Object Detection Techniques 2
- Advanced Image and Video Retrieval Techniques 1
- Video Surveillance and Tracking Methods 1
- Face and Expression Recognition 1
- Advanced Vision and Imaging 1
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- Reservoir Engineering and Simulation Methods 1
- Co-authors
- Andrew Zisserman (2 shared papers)Manish Kumar (1 shared paper)Bernhard Schölkopf (1 shared paper)Andrew Blake (1 shared paper)Andrew Fitzgibbon (2 shared papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (2 papers)Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences (1 paper)
- Partner nations
- United KingdomSwitzerlandGermany
In The Last Decade
P. Torr
5 papers receiving 102 citations
Peers
Comparison fields: 5 of 33
- Computer Vision and Pattern Recognition 89
- Media Technology 12
- Artificial Intelligence 20
- Signal Processing 5
- Aerospace Engineering 11
Countries citing papers authored by P. Torr
This map shows the geographic impact of P. Torr'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 P. Torr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Torr more than expected).
Fields of papers citing papers by P. Torr
This network shows the impact of papers produced by P. Torr. 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 P. Torr. The network helps show where P. Torr may publish in the future.
Co-authors
The 5 scholars most cited alongside P. Torr, 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 | 2009 | 48 | |
| 2 | 2004 | 38 | |
| 3 | Estimation with Bilinear Constraints in Computer Vision | 1998 | 9 |
| 4 | 2004 | 9 | |
| 5 | 2003 | 2 |
About P. Torr
P. Torr is a scholar working on Computer Vision and Pattern Recognition, Ocean Engineering, Computational Mechanics, Media Technology and Computer Graphics and Computer-Aided Design, having authored 5 papers that have together received 106 indexed citations. Recurring topics across this work include Image and Object Detection Techniques (2 papers), Computer Graphics and Visualization Techniques (1 paper), Advanced Image and Video Retrieval Techniques (1 paper), Video Surveillance and Tracking Methods (1 paper), Face and Expression Recognition (1 paper), Image Processing Techniques and Applications (1 paper), Advanced Vision and Imaging (1 paper) and Reservoir Engineering and Simulation Methods (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (89 citations), Media Technology (12 citations), Artificial Intelligence (20 citations), Signal Processing (5 citations) and Aerospace Engineering (11 citations). P. Torr has collaborated with scholars based in United Kingdom, Switzerland and Germany. Frequent co-authors include Andrew Zisserman, Manish Kumar, Bernhard Schölkopf, Andrew Blake and Andrew Fitzgibbon. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence and Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences.
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.