Pavel Pudil

38 papers and 2.5k indexed citations i.

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 38 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 4 papers in Strategy and Management. Recurrent topics in Pavel Pudil’s work include Face and Expression Recognition (9 papers), Neural Networks and Applications (8 papers) and Bayesian Methods and Mixture Models (6 papers). Pavel Pudil is often cited by papers focused on Face and Expression Recognition (9 papers), Neural Networks and Applications (8 papers) and Bayesian Methods and Mixture Models (6 papers). Pavel Pudil collaborates with scholars based in Czechia, United Kingdom and Japan. Pavel Pudil's co-authors include Jana Novovičová, Josef Kittler, Petr Somol, Pavel Paclı́k, Bart Baesens, Jan Vanthienen, Francesc J. Ferri, Adnan Amin, José M. Iñesta and Michal Haindl and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and Pattern Recognition Letters.

In The Last Decade

Co-authorship network of co-authors of Pavel Pudil i

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.

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).

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
2025