Pavel Křížek

22 papers and 1.3k indexed citations i.

About

Pavel Křížek is a scholar working on Computer Vision and Pattern Recognition, Biophysics and Molecular Biology. According to data from OpenAlex, Pavel Křížek has authored 22 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 7 papers in Biophysics and 5 papers in Molecular Biology. Recurrent topics in Pavel Křížek’s work include Advanced Fluorescence Microscopy Techniques (7 papers), Advanced Neural Network Applications (7 papers) and Cell Image Analysis Techniques (4 papers). Pavel Křížek is often cited by papers focused on Advanced Fluorescence Microscopy Techniques (7 papers), Advanced Neural Network Applications (7 papers) and Cell Image Analysis Techniques (4 papers). Pavel Křížek collaborates with scholars based in Czechia, France and United Kingdom. Pavel Křížek's co-authors include Guy M. Hagen, Martin Ovesný, Zdeněk Švindrych, Senthil Yogamani, Ivan Raška, Michal Uřičář, Tomáš Lukeš, Karel Fliegel, Ganesh Sistu and Michal Křı́žek and has published in prestigious journals such as Bioinformatics, Optics Express and Journal of Theoretical Biology.

In The Last Decade

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

Fields of papers citing papers by Pavel Křížek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Pavel Křížek

Since Specialization
Citations

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