Jeffrey Mark Siskind

51 papers and 1.7k indexed citations i.

About

Jeffrey Mark Siskind is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Jeffrey Mark Siskind has authored 51 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 26 papers in Computer Vision and Pattern Recognition and 8 papers in Computational Theory and Mathematics. Recurrent topics in Jeffrey Mark Siskind’s work include Multimodal Machine Learning Applications (14 papers), Human Pose and Action Recognition (11 papers) and Advanced Image and Video Retrieval Techniques (9 papers). Jeffrey Mark Siskind is often cited by papers focused on Multimodal Machine Learning Applications (14 papers), Human Pose and Action Recognition (11 papers) and Advanced Image and Video Retrieval Techniques (9 papers). Jeffrey Mark Siskind collaborates with scholars based in United States, Ireland and Canada. Jeffrey Mark Siskind's co-authors include Michael R. Brent, Song Wang, Haonan Yu, Barak A. Pearlmutter, N. Siddharth, Andrei Barbu, T. Kubota, Ronnie Β. Wilbur, Alan Fern and Robert Givan and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

In The Last Decade

Co-authorship network of co-authors of Jeffrey Mark Siskind i

Fields of papers citing papers by Jeffrey Mark Siskind

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey Mark Siskind. 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 Jeffrey Mark Siskind. The network helps show where Jeffrey Mark Siskind may publish in the future.

Countries citing papers authored by Jeffrey Mark Siskind

Since Specialization
Citations

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