Dave Epstein

8 papers and 127 indexed citations i.

About

Dave Epstein is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Dave Epstein has authored 8 papers receiving a total of 127 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 2 papers in Information Systems. Recurrent topics in Dave Epstein’s work include Multimodal Machine Learning Applications (5 papers), Human Pose and Action Recognition (4 papers) and Advanced Malware Detection Techniques (2 papers). Dave Epstein is often cited by papers focused on Multimodal Machine Learning Applications (5 papers), Human Pose and Action Recognition (4 papers) and Advanced Malware Detection Techniques (2 papers). Dave Epstein collaborates with scholars based in United States. Dave Epstein's co-authors include Carl Vondrick, Boyuan Chen, Junfeng Yang, Kexin Pei, Baishakhi Ray, Suman Jana, Dongdong She, Cordelia Schmid, Jiajun Wu and Chen Sun 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 Dave Epstein i

Fields of papers citing papers by Dave Epstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dave Epstein

Since Specialization
Citations

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