Jonathan Tompson

24 papers and 2.8k indexed citations i.

About

Jonathan Tompson is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Jonathan Tompson has authored 24 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 14 papers in Artificial Intelligence and 5 papers in Control and Systems Engineering. Recurrent topics in Jonathan Tompson’s work include Human Pose and Action Recognition (11 papers), Multimodal Machine Learning Applications (6 papers) and Anomaly Detection Techniques and Applications (6 papers). Jonathan Tompson is often cited by papers focused on Human Pose and Action Recognition (11 papers), Multimodal Machine Learning Applications (6 papers) and Anomaly Detection Techniques and Applications (6 papers). Jonathan Tompson collaborates with scholars based in United States, United Kingdom and Germany. Jonathan Tompson's co-authors include Yann LeCun, Christoph Bregler, Arjun Jain, Ross Goroshin, Ken Perlin, Debidatta Dwibedi, Pierre Sermanet, Andrew Zisserman, Yusuf Aytar and Kevin Murphy and has published in prestigious journals such as ACM Transactions on Graphics, IEEE Robotics and Automation Letters and International Conference on Computer Vision.

In The Last Decade

Co-authorship network of co-authors of Jonathan Tompson i

Fields of papers citing papers by Jonathan Tompson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jonathan Tompson

Since Specialization
Citations

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