Pavel Pudil

98 total papers · 5.6k total citations
63 papers, 3.6k citations indexed

About

Pavel Pudil is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Strategy and Management. According to data from OpenAlex, Pavel Pudil has authored 63 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 21 papers in Computer Vision and Pattern Recognition and 9 papers in Strategy and Management. Recurrent topics in Pavel Pudil's work include Neural Networks and Applications (18 papers), Face and Expression Recognition (15 papers) and Bayesian Methods and Mixture Models (7 papers). Pavel Pudil is often cited by papers focused on Neural Networks and Applications (18 papers), Face and Expression Recognition (15 papers) and Bayesian Methods and Mixture Models (7 papers). Pavel Pudil collaborates with scholars based in Czechia, United Kingdom and Spain. Pavel Pudil's co-authors include Jana Novovičová, Josef Kittler, Petr Somol, Pavel Paclı́k, Francesc J. Ferri, Bart Baesens, Jan Vanthienen, Lenka Komárková, Michal Haindl and José M. Iñesta and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Pattern Recognition.

In The Last Decade

Pavel Pudil

56 papers receiving 3.3k citations

Hit Papers

Floating search methods i... 1994 2026 2004 2015 1994 500 1000 1.5k 2.0k

Author Peers

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

Author Last Decade Papers Cites
Pavel Pudil 1.5k 1.3k 419 416 359 63 3.6k
Jana Novovičová 1.3k 0.9× 1.2k 1.0× 391 0.9× 405 1.0× 382 1.1× 29 3.3k
Sándor Szedmák 1.4k 0.9× 1.7k 1.3× 336 0.8× 431 1.0× 214 0.6× 65 3.7k
S.R. Gunn 1.3k 0.9× 1.1k 0.9× 362 0.9× 352 0.8× 543 1.5× 41 4.4k
José Santamaría 1.9k 1.3× 1.6k 1.2× 311 0.7× 297 0.7× 255 0.7× 61 6.5k
Alaa Tharwat 1.6k 1.1× 884 0.7× 276 0.7× 374 0.9× 176 0.5× 44 4.7k
P. A. Estévez 1.4k 0.9× 916 0.7× 390 0.9× 288 0.7× 177 0.5× 131 3.5k
Ethem Alpaydın 1.6k 1.1× 1.3k 1.0× 296 0.7× 294 0.7× 265 0.7× 81 3.2k
Jinbo Bi 1.8k 1.2× 1.6k 1.2× 253 0.6× 474 1.1× 230 0.6× 149 4.6k
Mohammed A. Fadhel 1.9k 1.3× 1.3k 1.0× 288 0.7× 276 0.7× 272 0.8× 41 6.4k
Todd K. Leen 1.6k 1.1× 993 0.8× 368 0.9× 189 0.5× 179 0.5× 64 3.9k

Countries citing papers authored by Pavel Pudil

Since Specialization
Citations

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

Fields of papers citing papers by Pavel Pudil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pavel Pudil

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