Filip Šroubek

78 papers and 1.1k indexed citations i.

About

Filip Šroubek is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Biomedical Engineering. According to data from OpenAlex, Filip Šroubek has authored 78 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Computer Vision and Pattern Recognition, 36 papers in Media Technology and 10 papers in Biomedical Engineering. Recurrent topics in Filip Šroubek’s work include Advanced Image Processing Techniques (31 papers), Image and Signal Denoising Methods (30 papers) and Image Processing Techniques and Applications (30 papers). Filip Šroubek is often cited by papers focused on Advanced Image Processing Techniques (31 papers), Image and Signal Denoising Methods (30 papers) and Image Processing Techniques and Applications (30 papers). Filip Šroubek collaborates with scholars based in Czechia, Spain and United States. Filip Šroubek's co-authors include Jan Flusser, Gabriel Cristóbal, Peyman Milanfar, Rafael Redondo, Sylvain Fischer, Michal Šorel, Manuel G. Forero, Laurent Perrinet, Jan Kotera and Marı́a S. Millán and has published in prestigious journals such as Applied Physics Letters, IEEE Transactions on Pattern Analysis and Machine Intelligence and Developmental Cell.

In The Last Decade

Co-authorship network of co-authors of Filip Šroubek i

Fields of papers citing papers by Filip Šroubek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Filip Šroubek

Since Specialization
Citations

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