Tom Duerig

5 papers and 1.2k indexed citations i.

About

Tom Duerig is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Industrial relations. According to data from OpenAlex, Tom Duerig has authored 5 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 0 papers in Industrial relations. Recurrent topics in Tom Duerig’s work include Multimodal Machine Learning Applications (5 papers), Advanced Neural Network Applications (4 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Tom Duerig is often cited by papers focused on Multimodal Machine Learning Applications (5 papers), Advanced Neural Network Applications (4 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Tom Duerig collaborates with scholars based in United States and Switzerland. Tom Duerig's co-authors include Jasper Uijlings, Ivan Krasin, Jordi Pont-Tuset, Shahab Kamali, Alexander Kolesnikov, Vittorio Ferrari, Stefan Popov, Neil Alldrin, Alina Kuznetsova and Yinfei Yang and has published in prestigious journals such as International Journal of Computer Vision, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Tom Duerig i

Fields of papers citing papers by Tom Duerig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tom Duerig

Since Specialization
Citations

This map shows the geographic impact of Tom Duerig'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 Tom Duerig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Duerig 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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2025