Michal Hradiš

70 total papers · 1.0k total citations
25 papers, 428 citations indexed

About

Michal Hradiš is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Michal Hradiš has authored 25 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 4 papers in Media Technology. Recurrent topics in Michal Hradiš's work include Advanced Image and Video Retrieval Techniques (7 papers), Image Retrieval and Classification Techniques (5 papers) and Video Analysis and Summarization (5 papers). Michal Hradiš is often cited by papers focused on Advanced Image and Video Retrieval Techniques (7 papers), Image Retrieval and Classification Techniques (5 papers) and Video Analysis and Summarization (5 papers). Michal Hradiš collaborates with scholars based in Czechia and Finland. Michal Hradiš's co-authors include Pavel Zemčík, Roman Bednarik, Jan Kotera, Filip Šroubek, Hana Vrzáková, Pavel Svoboda, Shahram Eivazi, Adam Herout, Roman Juránek and Oldřich Kodym and has published in prestigious journals such as Pattern Analysis and Applications, International Journal on Document Analysis and Recognition (IJDAR) and Journal of Real-Time Image Processing.

In The Last Decade

Michal Hradiš

24 papers receiving 403 citations

Author Peers

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

Author Last Decade Papers Cites
Michal Hradiš 320 123 102 56 40 25 428
John Weng 257 0.8× 58 0.5× 48 0.5× 53 0.9× 129 3.2× 33 440
Davide Gadia 232 0.7× 67 0.5× 81 0.8× 77 1.4× 55 1.4× 52 440
Matthew Kyan 223 0.7× 30 0.2× 82 0.8× 34 0.6× 53 1.3× 42 390
Philip Corriveau 282 0.9× 125 1.0× 73 0.7× 88 1.6× 17 0.4× 25 390
Youichi Horry 283 0.9× 58 0.5× 100 1.0× 66 1.2× 7 0.2× 19 441
Ming‐Sui Lee 209 0.7× 34 0.3× 119 1.2× 92 1.6× 24 0.6× 40 394
J.E. Viallet 281 0.9× 36 0.3× 106 1.0× 19 0.3× 47 1.2× 20 411
Yong-Moo Kwon 161 0.5× 80 0.7× 102 1.0× 25 0.4× 11 0.3× 51 367
Rob Aspin 261 0.8× 40 0.3× 84 0.8× 14 0.3× 42 1.1× 31 406
Ho‐Sub Yoon 279 0.9× 28 0.2× 202 2.0× 43 0.8× 72 1.8× 37 418

Countries citing papers authored by Michal Hradiš

Since Specialization
Citations

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

Fields of papers citing papers by Michal Hradiš

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michal Hradiš

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