Michal Uřičář

581 citations
14 papers · 264 indexed · h-index 10
Topics
Face recognition and analysis (6 papers)Video Surveillance and Tracking Methods (4 papers)Advanced Image and Video Retrieval Techniques (4 papers)
Journals
Image and Vision ComputingLirias (KU Leuven)Proceedings of the AAAI Conference on Artificial Intelligence
Partner nations
CzechiaFranceJapan

In The Last Decade

Michal Uřičář

14 papers receiving 245 citations

Peers

Michal Uřičář
Comparison fields: 5 of 54
  • Computer Vision and Pattern Recognition 215
  • Signal Processing 56
  • Artificial Intelligence 32
  • Automotive Engineering 26
  • Human-Computer Interaction 22
Replace Yinglin Zheng with:
Yinglin Zheng China
Vineet Gandhi India
Miloš Oravec Slovakia
Hou-Ning Hu Taiwan
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T. Mita Japan
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Matthias Eichner Germany
Yi-Ping Hung Taiwan
Michal Uřičář relative to Yinglin Zheng China Yinglin Zheng's profile →
Citations per field
00.5×2.8×
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Citations per year

Countries citing papers authored by Michal Uřičář

Since Specialization
Citations

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

Fields of papers citing papers by Michal Uřičář

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michal Uřičář

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

All Works

14 of 14 papers shown
#WorkIndexed citations
1 12
2 14
3 4
4 7
5 5
6 19
7 3
8 26
9 37
10 19
11 14
12 14
13 19
14 71

About Michal Uřičář

Michal Uřičář is a scholar working on Computer Vision and Pattern Recognition, Information Systems and Management and Signal Processing, having authored 14 papers that have together received 264 indexed citations. Recurring topics across this work include Face recognition and analysis (6 papers), Video Surveillance and Tracking Methods (4 papers) and Advanced Image and Video Retrieval Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (215 citations), Signal Processing (56 citations) and Human-Computer Interaction (22 citations). Michal Uřičář has collaborated with scholars based in Czechia, France and Japan. Frequent co-authors include Vojtěch Franc, Václav Hlaváč, Senthil Yogamani, Jiřı́ Matas, Pavel Křížek, Rasmus Rothe, Akihiro Sugimoto, Radu Timofte, Luc Van Gool and Diego Thomas. Their work appears in journals such as Image and Vision Computing, Lirias (KU Leuven) and Proceedings of the AAAI Conference on Artificial Intelligence.

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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