James M. Rehg

155 papers and 7.6k indexed citations i.

About

James M. Rehg is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, James M. Rehg has authored 155 papers receiving a total of 7.6k indexed citations (citations by other indexed papers that have themselves been cited), including 92 papers in Computer Vision and Pattern Recognition, 39 papers in Artificial Intelligence and 24 papers in Control and Systems Engineering. Recurrent topics in James M. Rehg’s work include Human Pose and Action Recognition (29 papers), Advanced Image and Video Retrieval Techniques (23 papers) and Robotics and Sensor-Based Localization (17 papers). James M. Rehg is often cited by papers focused on Human Pose and Action Recognition (29 papers), Advanced Image and Video Retrieval Techniques (23 papers) and Robotics and Sensor-Based Localization (17 papers). James M. Rehg collaborates with scholars based in United States, China and Singapore. James M. Rehg's co-authors include Michael Jones, Jianxin Wu, Alireza Fathi, Yin Li, Christof Koch, Alan Yuille, Xiaodi Hou, Fuxin Li, Eunji Chong and Nataniel Ruiz and has published in prestigious journals such as Nature Communications, IEEE Transactions on Pattern Analysis and Machine Intelligence and Nature Methods.

In The Last Decade

Co-authorship network of co-authors of James M. Rehg i

Fields of papers citing papers by James M. Rehg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by James M. Rehg

Since Specialization
Citations

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