Panna Felsen

4 papers and 877 indexed citations i.

About

Panna Felsen is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, Panna Felsen has authored 4 papers receiving a total of 877 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 1 paper in Biomedical Engineering and 1 paper in Artificial Intelligence. Recurrent topics in Panna Felsen’s work include Video Surveillance and Tracking Methods (4 papers), Human Pose and Action Recognition (4 papers) and Advanced Image and Video Retrieval Techniques (1 paper). Panna Felsen is often cited by papers focused on Video Surveillance and Tracking Methods (4 papers), Human Pose and Action Recognition (4 papers) and Advanced Image and Video Retrieval Techniques (1 paper). Panna Felsen collaborates with scholars based in United States and Colombia. Panna Felsen's co-authors include Jitendra Malik, Katerina Fragkiadaki, Sergey Levine, Jason Zhang, Angjoo Kanazawa and Pablo Arbeláez and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Panna Felsen i

Fields of papers citing papers by Panna Felsen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Panna Felsen

Since Specialization
Citations

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