Miloš Kudělka

47 papers and 313 indexed citations i.

About

Miloš Kudělka is a scholar working on Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Artificial Intelligence. According to data from OpenAlex, Miloš Kudělka has authored 47 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 12 papers in Statistical and Nonlinear Physics and 11 papers in Artificial Intelligence. Recurrent topics in Miloš Kudělka’s work include Complex Network Analysis Techniques (12 papers), Chronic Lymphocytic Leukemia Research (7 papers) and Data Visualization and Analytics (6 papers). Miloš Kudělka is often cited by papers focused on Complex Network Analysis Techniques (12 papers), Chronic Lymphocytic Leukemia Research (7 papers) and Data Visualization and Analytics (6 papers). Miloš Kudělka collaborates with scholars based in Czechia, Armenia and Norway. Miloš Kudělka's co-authors include Eva Kriegová, Jiří Gallo, Zdeněk Horák, Petr Gajdoš, Václav Snåšel, Zuzana Mikulková, Regina Fillerová, Gayane Manukyan, Tomáš Papajík and Jan Platoš and has published in prestigious journals such as Blood, PLoS ONE and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Miloš Kudělka i

Fields of papers citing papers by Miloš Kudělka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Miloš Kudělka

Since Specialization
Citations

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