Tomáš Vojíř

38 total papers · 6.5k total citations
10 papers, 1.5k citations indexed

About

Tomáš Vojíř is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Tomáš Vojíř has authored 10 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 2 papers in Media Technology. Recurrent topics in Tomáš Vojíř's work include Video Surveillance and Tracking Methods (7 papers), Advanced Neural Network Applications (3 papers) and Anomaly Detection Techniques and Applications (3 papers). Tomáš Vojíř is often cited by papers focused on Video Surveillance and Tracking Methods (7 papers), Advanced Neural Network Applications (3 papers) and Anomaly Detection Techniques and Applications (3 papers). Tomáš Vojíř collaborates with scholars based in Czechia, Slovenia and Belgium. Tomáš Vojíř's co-authors include Jiřı́ Matas, Luka Čehovin Zajc, Matej Kristan, Alan Lukežič, Jana Nosková, Aleš Leonardis, Gustavo J. Fernández, Fatih Porikli, Georg Nebehay and Roman Pflugfelder and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Cybernetics and Pattern Recognition Letters.

In The Last Decade

Tomáš Vojíř

10 papers receiving 1.5k citations

Hit Papers

Discriminative Correlatio... 2016 2026 2019 2022 2017 2016 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Tomáš Vojíř 1.3k 407 302 152 142 10 1.5k
Luka Čehovin Zajc 1.4k 1.1× 428 1.1× 318 1.1× 134 0.9× 129 0.9× 19 1.6k
Afshin Dehghan 1.5k 1.1× 302 0.7× 196 0.6× 124 0.8× 232 1.6× 18 1.6k
Peng Chu 1.6k 1.2× 466 1.1× 302 1.0× 136 0.9× 259 1.8× 34 1.9k
Luca Bertinetto 2.1k 1.6× 553 1.4× 503 1.7× 170 1.1× 231 1.6× 8 2.2k
Goutam Bhat 2.0k 1.5× 685 1.7× 548 1.8× 212 1.4× 126 0.9× 9 2.1k
Hamed Kiani Galoogahi 1.8k 1.4× 568 1.4× 414 1.4× 207 1.4× 164 1.2× 29 2.1k
Sam Hare 1.9k 1.4× 483 1.2× 296 1.0× 232 1.5× 123 0.9× 3 2.0k
Yiming Li 1.5k 1.1× 816 2.0× 409 1.4× 201 1.3× 243 1.7× 54 1.9k
Xingping Dong 1.5k 1.2× 210 0.5× 146 0.5× 89 0.6× 289 2.0× 30 1.9k
Keni Bernardin 1.7k 1.2× 345 0.8× 183 0.6× 189 1.2× 499 3.5× 20 2.1k

Countries citing papers authored by Tomáš Vojíř

Since Specialization
Citations

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

Fields of papers citing papers by Tomáš Vojíř

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomáš Vojíř

This figure shows the co-authorship network connecting the top 25 collaborators of Tomáš Vojíř. A scholar is included among the top collaborators of Tomáš Vojíř 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 Tomáš Vojíř. Tomáš Vojíř 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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