Pavel Zezula

54 papers and 1.2k indexed citations i.

About

Pavel Zezula is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Pavel Zezula has authored 54 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Signal Processing, 33 papers in Computer Vision and Pattern Recognition and 19 papers in Computer Networks and Communications. Recurrent topics in Pavel Zezula’s work include Data Management and Algorithms (33 papers), Advanced Image and Video Retrieval Techniques (21 papers) and Image Retrieval and Classification Techniques (12 papers). Pavel Zezula is often cited by papers focused on Data Management and Algorithms (33 papers), Advanced Image and Video Retrieval Techniques (21 papers) and Image Retrieval and Classification Techniques (12 papers). Pavel Zezula collaborates with scholars based in Czechia, Italy and Russia. Pavel Zezula's co-authors include Paolo Ciaccia, Marco Patella, Michal Batko, Giuseppe Amato, Vlastislav Dohnal, David Novák, Jan Sedmidubský, Fausto Rabitti, Pasquale Savino and Paolo Tiberio and has published in prestigious journals such as IEEE Access, Pattern Recognition Letters and Future Generation Computer Systems.

In The Last Decade

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

Fields of papers citing papers by Pavel Zezula

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Pavel Zezula

Since Specialization
Citations

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