Daniel Soukup

11 papers and 53 indexed citations i.

About

Daniel Soukup is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computational Mechanics. According to data from OpenAlex, Daniel Soukup has authored 11 papers receiving a total of 53 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 4 papers in Media Technology and 2 papers in Computational Mechanics. Recurrent topics in Daniel Soukup’s work include Image Processing Techniques and Applications (4 papers), Optical measurement and interference techniques (4 papers) and Advanced Vision and Imaging (3 papers). Daniel Soukup is often cited by papers focused on Image Processing Techniques and Applications (4 papers), Optical measurement and interference techniques (4 papers) and Advanced Vision and Imaging (3 papers). Daniel Soukup collaborates with scholars based in Austria, Slovakia and United States. Daniel Soukup's co-authors include Svorad Štolc, Reinhold Huber-Mörk, Matthias Scheutz, Ulrich Bodenhofer, Konrad Mayer and Dorothea Heiss-Czedik and has published in prestigious journals such as Image and Vision Computing, Electronics and Journal of Visual Communication and Image Representation.

In The Last Decade

Co-authorship network of co-authors of Daniel Soukup i

Fields of papers citing papers by Daniel Soukup

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel Soukup

Since Specialization
Citations

This map shows the geographic impact of Daniel Soukup'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 Daniel Soukup with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Soukup 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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2025