Philip H. S. Torr

About

Philip H. S. Torr is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Philip H. S. Torr has authored 88 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Computer Vision and Pattern Recognition, 28 papers in Artificial Intelligence and 14 papers in Aerospace Engineering. Recurrent topics in Philip H. S. Torr’s work include Advanced Image and Video Retrieval Techniques (30 papers), Advanced Vision and Imaging (27 papers) and Human Pose and Action Recognition (14 papers). Philip H. S. Torr is often cited by papers focused on Advanced Image and Video Retrieval Techniques (30 papers), Advanced Vision and Imaging (27 papers) and Human Pose and Action Recognition (14 papers). Philip H. S. Torr collaborates with scholars based in United Kingdom, United States and Switzerland. Philip H. S. Torr's co-authors include A. Zisserman, Pushmeet Kohli, Lubor Ladický, Roberto Cipolla, George Vogiatzis, A. Thayananthan, Björn Stenger, Andrew Zisserman, Manish Kumar and Karteek Alahari and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Vision Research and ACM Transactions on Graphics.

In The Last Decade

Co-authorship network of co-authors of Philip H. S. Torr i

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Fields of papers citing papers by Philip H. S. Torr

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip H. S. 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 Philip H. S. Torr. The network helps show where Philip H. S. Torr may publish in the future.

Countries citing papers authored by Philip H. S. Torr

Since Specialization

Citations

This map shows the geographic impact of Philip H. S. 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 Philip H. S. Torr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip H. S. Torr more than expected).

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.

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