Deva Ramanan

133 papers and 15.1k indexed citations i.

About

Deva Ramanan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Deva Ramanan has authored 133 papers receiving a total of 15.1k indexed citations (citations by other indexed papers that have themselves been cited), including 112 papers in Computer Vision and Pattern Recognition, 42 papers in Artificial Intelligence and 12 papers in Computational Mechanics. Recurrent topics in Deva Ramanan’s work include Human Pose and Action Recognition (38 papers), Advanced Neural Network Applications (33 papers) and Video Surveillance and Tracking Methods (32 papers). Deva Ramanan is often cited by papers focused on Human Pose and Action Recognition (38 papers), Advanced Neural Network Applications (33 papers) and Video Surveillance and Tracking Methods (32 papers). Deva Ramanan collaborates with scholars based in United States, Germany and China. Deva Ramanan's co-authors include Pedro F. Felzenszwalb, David McAllester, Ross Girshick, Xiangxin Zhu, Yi Yang, Hamed Pirsiavash, Charless C. Fowlkes, Simon Lucey, Gengshan Yang and James Steven Supančič and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Communications of the ACM.

In The Last Decade

Co-authorship network of co-authors of Deva Ramanan i

Fields of papers citing papers by Deva Ramanan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Deva Ramanan

Since Specialization
Citations

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