Milan Kučera

58 papers and 438 indexed citations i.

About

Milan Kučera is a scholar working on Computational Theory and Mathematics, Computer Networks and Communications and Applied Mathematics. According to data from OpenAlex, Milan Kučera has authored 58 papers receiving a total of 438 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computational Theory and Mathematics, 15 papers in Computer Networks and Communications and 13 papers in Applied Mathematics. Recurrent topics in Milan Kučera’s work include Nonlinear Dynamics and Pattern Formation (15 papers), Mathematical and Theoretical Epidemiology and Ecology Models (12 papers) and Advanced Mathematical Modeling in Engineering (12 papers). Milan Kučera is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (15 papers), Mathematical and Theoretical Epidemiology and Ecology Models (12 papers) and Advanced Mathematical Modeling in Engineering (12 papers). Milan Kučera collaborates with scholars based in Czechia, Germany and Slovakia. Milan Kučera's co-authors include Pavel Drábek, Lucio Boccardo, Martin Väth, Lutz Recke, Daniela Giachetti, Jindřich Nečas, Svatopluk Fučík, Jiřı́ Neustupa, Milan Králik and Pavel Ryant and has published in prestigious journals such as Journal of Mathematical Analysis and Applications, Journal of Differential Equations and Nonlinear Analysis.

In The Last Decade

Co-authorship network of co-authors of Milan Kučera i

Fields of papers citing papers by Milan Kučera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Milan Kučera

Since Specialization
Citations

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