Pavel Kordík

20 papers and 144 indexed citations i.

About

Pavel Kordík is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Pavel Kordík has authored 20 papers receiving a total of 144 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 3 papers in Information Systems. Recurrent topics in Pavel Kordík’s work include Neural Networks and Applications (5 papers), Recommender Systems and Techniques (3 papers) and Machine Learning and Data Classification (3 papers). Pavel Kordík is often cited by papers focused on Neural Networks and Applications (5 papers), Recommender Systems and Techniques (3 papers) and Machine Learning and Data Classification (3 papers). Pavel Kordík collaborates with scholars based in Czechia, Egypt and Nigeria. Pavel Kordík's co-authors include Miroslav Šnorek, Jan Koutník, Jaroslav Brůžek, Aurore Schmitt, Lenka Lhotská, Ahmed Khalil, Václav Křemen, Martin Vyhnálek, Martin Macaš and Daniel Novák and has published in prestigious journals such as Neural Networks, Machine Learning and Forensic Science International.

In The Last Decade

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

Fields of papers citing papers by Pavel Kordík

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Pavel Kordík

Since Specialization
Citations

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

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