Kevin Cannons

31 total papers · 677 total citations
15 papers, 394 citations indexed

About

Kevin Cannons is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Kevin Cannons has authored 15 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 3 papers in Statistical and Nonlinear Physics. Recurrent topics in Kevin Cannons's work include Human Pose and Action Recognition (7 papers), Neural Networks and Applications (5 papers) and Video Surveillance and Tracking Methods (5 papers). Kevin Cannons is often cited by papers focused on Human Pose and Action Recognition (7 papers), Neural Networks and Applications (5 papers) and Video Surveillance and Tracking Methods (5 papers). Kevin Cannons collaborates with scholars based in Canada, United States and Taiwan. Kevin Cannons's co-authors include Richard P. Wildes, Konstantinos G. Derpanis, Mikhail Sizintsev, Vincent C. K. Cheung,  An, Greg Mori, Arash Vahdat, Sangmin Oh, Witold Kinsner and Joseph J. Pear and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Multimedia and Machine Vision and Applications.

In The Last Decade

Kevin Cannons

15 papers receiving 371 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Kevin Cannons 306 119 39 29 28 15 394
Hamed Habibi Aghdam 199 0.7× 115 1.0× 26 0.7× 27 0.9× 31 1.1× 20 406
Morton Nadler 172 0.6× 108 0.9× 17 0.4× 26 0.9× 11 0.4× 13 335
Mohamed R. Amer 264 0.9× 231 1.9× 37 0.9× 17 0.6× 17 0.6× 24 425
Zhiqiang He 156 0.5× 163 1.4× 27 0.7× 38 1.3× 28 1.0× 25 408
Fazhi He 257 0.8× 90 0.8× 21 0.5× 21 0.7× 25 0.9× 10 384
Zhou Xue 334 1.1× 80 0.7× 39 1.0× 32 1.1× 44 1.6× 26 420
Michael S. Gashler 108 0.4× 160 1.3× 30 0.8× 71 2.4× 22 0.8× 16 390
Fiza Murtaza 219 0.7× 144 1.2× 34 0.9× 15 0.5× 6 0.2× 24 371
Jiaxin Chen 276 0.9× 280 2.4× 32 0.8× 19 0.7× 11 0.4× 22 437
Magdi A. Mohamed 210 0.7× 181 1.5× 20 0.5× 16 0.6× 21 0.8× 20 377

Countries citing papers authored by Kevin Cannons

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Cannons

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Cannons

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Cannons. A scholar is included among the top collaborators of Kevin Cannons based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kevin Cannons. Kevin Cannons is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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2026