Kevin Cannons

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 Advanced Vision and Imaging (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 Advanced Vision and Imaging (5 papers). Kevin Cannons collaborates with scholars based in Canada, United States and Taiwan. Kevin Cannons's co-authors include Richard P. Wildes, Mikhail Sizintsev, Konstantinos G. Derpanis, Vincent C. K. Cheung,  An, Arash Vahdat, Sangmin Oh, Greg Mori, 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

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kevin Cannons Canada 10 306 119 39 29 28 15 394
Rongchun Zhao China 8 198 0.6× 88 0.7× 50 1.3× 19 0.7× 12 0.4× 57 321
Padmanabhan Soundararajan United States 5 459 1.5× 116 1.0× 19 0.5× 31 1.1× 55 2.0× 6 525
Zhou Xue China 9 336 1.1× 81 0.7× 39 1.0× 32 1.1× 44 1.6× 26 425
Min Dong China 9 132 0.4× 87 0.7× 32 0.8× 35 1.2× 9 0.3× 40 305
Lei Tian China 10 130 0.4× 77 0.6× 23 0.6× 17 0.6× 41 1.5× 32 315
Fujin Zhong China 9 345 1.1× 113 0.9× 26 0.7× 11 0.4× 11 0.4× 20 485
Wen Gao China 10 398 1.3× 71 0.6× 18 0.5× 9 0.3× 16 0.6× 28 480
Se Hyun Park South Korea 8 278 0.9× 119 1.0× 29 0.7× 30 1.0× 12 0.4× 29 461
Wankou Yang China 13 382 1.2× 231 1.9× 17 0.4× 34 1.2× 20 0.7× 32 522

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

15 of 15 papers shown
1.
Cannons, Kevin, et al.. (2020). Domain Adaptation in Crowd Counting. 150–157. 4 indexed citations
2.
Cannons, Kevin & Richard P. Wildes. (2014). The Applicability of Spatiotemporal Oriented Energy Features to Region Tracking. IEEE Transactions on Pattern Analysis and Machine Intelligence. 36(4). 784–796. 16 indexed citations
3.
Peng, Peng, Kevin Cannons, & Ze-Nian Li. (2013). Efficient video quality assessment based on spacetime texture representation. 641–644. 3 indexed citations
4.
Vahdat, Arash, et al.. (2013). Compositional Models for Video Event Detection: A Multiple Kernel Learning Latent Variable Approach. 1185–1192. 36 indexed citations
5.
Oh, Sangmin, Scott McCloskey, Arash Vahdat, et al.. (2013). Multimedia event detection with multimodal feature fusion and temporal concept localization. Machine Vision and Applications. 25(1). 49–69. 37 indexed citations
6.
Oh, Sangmin, et al.. (2013). Segmental multi-way local pooling for video recognition. 637–640. 2 indexed citations
7.
Derpanis, Konstantinos G., Mikhail Sizintsev, Kevin Cannons, & Richard P. Wildes. (2012). Action Spotting and Recognition Based on a Spatiotemporal Orientation Analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence. 35(3). 527–540. 50 indexed citations
8.
Derpanis, Konstantinos G., Mikhail Sizintsev, Kevin Cannons, & Richard P. Wildes. (2010). Efficient action spotting based on a spacetime oriented structure representation. 1990–1997. 68 indexed citations
9.
Cannons, Kevin. (2008). A Review of Visual Tracking. 75 indexed citations
10.
Chen, Duan-Yu, Kevin Cannons, Hsiao-Rong Tyan, Sheng-Wen Shih, & H.-Y.M. Liao. (2008). Spatiotemporal Motion Analysis for the Detection and Classification of Moving Targets. IEEE Transactions on Multimedia. 10(8). 1578–1591. 13 indexed citations
11.
Kinsner, Witold, et al.. (2006). Signal classification through multifractal analysis and complex domain neural networks. IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews). 36(2). 196–203. 26 indexed citations
12.
Kinsner, Witold, et al.. (2004). Signal classification through multifractal analysis and complex domain neural networks. 41–46. 7 indexed citations
13.
Cheung, Vincent C. K., Kevin Cannons, Witold Kinsner, & Joseph J. Pear. (2004). Signal classification through multifractal analysis and complex domain neural networks. 3. 2067–2070. 4 indexed citations
14.
Cheung, Vincent C. K. & Kevin Cannons. (2002). An Introduction to Probabilistic Neural Networks. 16 indexed citations
15.
Cheung, Vincent C. K., Kevin Cannons, &  An. (2002). An Introduction to Neural Networks. 37 indexed citations

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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