James Thewlis

6 papers and 161 indexed citations i.

About

James Thewlis is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, James Thewlis has authored 6 papers receiving a total of 161 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 1 paper in Aerospace Engineering and 1 paper in Artificial Intelligence. Recurrent topics in James Thewlis’s work include Advanced Image and Video Retrieval Techniques (5 papers), Face recognition and analysis (3 papers) and Human Pose and Action Recognition (2 papers). James Thewlis is often cited by papers focused on Advanced Image and Video Retrieval Techniques (5 papers), Face recognition and analysis (3 papers) and Human Pose and Action Recognition (2 papers). James Thewlis collaborates with scholars based in United Kingdom and Israel. James Thewlis's co-authors include Andrea Vedaldi, Hakan Bilen, Samuel Albanie, Philip H. S. Torr, Shuai Zheng, Rıza Alp Güler, Natalia Neverova and Iasonas Kokkinos and has published in prestigious journals such as Oxford University Research Archive (ORA) (University of Oxford), 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

In The Last Decade

Co-authorship network of co-authors of James Thewlis i

Fields of papers citing papers by James Thewlis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James Thewlis. 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 James Thewlis. The network helps show where James Thewlis may publish in the future.

Countries citing papers authored by James Thewlis

Since Specialization
Citations

This map shows the geographic impact of James Thewlis'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 James Thewlis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Thewlis 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2025