Michael Rudzsky

44 total papers · 1.3k total citations
28 papers, 821 citations indexed

About

Michael Rudzsky is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Michael Rudzsky has authored 28 papers receiving a total of 821 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 4 papers in Computational Mechanics. Recurrent topics in Michael Rudzsky's work include Human Pose and Action Recognition (13 papers), Video Surveillance and Tracking Methods (9 papers) and Anomaly Detection Techniques and Applications (7 papers). Michael Rudzsky is often cited by papers focused on Human Pose and Action Recognition (13 papers), Video Surveillance and Tracking Methods (9 papers) and Anomaly Detection Techniques and Applications (7 papers). Michael Rudzsky collaborates with scholars based in Israel, Russia and United States. Michael Rudzsky's co-authors include Ehud Rivlin, Roman Goldenberg, Ron Kimmel, Gal Lavee, Г. С. Бисноватый-Коган, С. И. Блинников, É. V. Bugaev, I. V. Panov, Kohsuke Sumiyoshi and Gideon Dror and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Transactions on Medical Imaging and Pattern Recognition.

In The Last Decade

Michael Rudzsky

28 papers receiving 771 citations

Author Peers

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

Author Last Decade Papers Cites
Michael Rudzsky 612 175 85 78 71 28 821
Kim Steenstrup Pedersen 343 0.6× 139 0.8× 105 1.2× 29 0.4× 56 0.8× 39 869
Kang Li 294 0.5× 233 1.3× 243 2.9× 49 0.6× 97 1.4× 56 970
Sean Ahern 427 0.7× 60 0.3× 71 0.8× 14 0.2× 86 1.2× 27 850
D. Goldgof 561 0.9× 135 0.8× 17 0.2× 54 0.7× 54 0.8× 16 873
Vito Roberto 635 1.0× 112 0.6× 124 1.5× 19 0.2× 117 1.6× 77 1.0k
Jens Krüger 373 0.6× 45 0.3× 53 0.6× 35 0.4× 19 0.3× 39 770
Junhao Zhang 460 0.8× 163 0.9× 15 0.2× 62 0.8× 114 1.6× 61 840
Xiaokang Yang 411 0.7× 47 0.3× 86 1.0× 91 1.2× 126 1.8× 60 888
Cheng Shen 324 0.5× 32 0.2× 19 0.2× 129 1.7× 131 1.8× 47 908
K. Somasundaram 428 0.7× 183 1.0× 25 0.3× 42 0.5× 52 0.7× 81 823

Countries citing papers authored by Michael Rudzsky

Since Specialization
Citations

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

Fields of papers citing papers by Michael Rudzsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Rudzsky

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Rudzsky. A scholar is included among the top collaborators of Michael Rudzsky 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 Michael Rudzsky. Michael Rudzsky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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
2026