Milan Kučera
- Computational Theory and Mathematics top 2%
- Applied Mathematics top 5%
- Computer Networks and Communications top 10%
- Public Health, Environmental and Occupational Health
- Control and Systems Engineering top 10%
- Co-authors
- Pavel DrábekJan EisnerLucio BoccardoMartin VäthLutz ReckeDaniela GiachettiJindřich NečasSvatopluk Fučík
- Topics
- Nonlinear Dynamics and Pattern Formation (15 papers)Contact Mechanics and Variational Inequalities (12 papers)Advanced Mathematical Modeling in Engineering (12 papers)
In The Last Decade
Milan Kučera
57 papers receiving 414 citations
Peers
Comparison fields: 5 of 97
- Computational Theory and Mathematics 225
- Applied Mathematics 156
- Computer Networks and Communications 134
- Public Health, Environmental and Occupational Health 128
- Control and Systems Engineering 84
Countries citing papers authored by Milan Kučera
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).
Fields of papers citing papers by Milan Kučera
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.
Co-authorship network of co-authors of Milan Kučera
This figure shows the co-authorship network connecting the top 25 collaborators of Milan Kučera. A scholar is included among the top collaborators of Milan Kučera based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Milan Kučera. Milan Kučera is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 10 | |
| 5 | 6 | |
| 6 | 4 | |
| 7 | 5 | |
| 8 | 4 | |
| 9 | 15 | |
| 10 | 2 | |
| 11 | 21 | |
| 12 | Destabilizing effect of unilateral conditions in reaction-diffusion systems | 5 |
| 13 | 5 | |
| 14 | 26 | |
| 15 | 13 | |
| 16 | 7 | |
| 17 | 1 | |
| 18 | 30 | |
| 19 | 2 | |
| 20 | Fredholm alternative for nonlinear operators | 5 |
About Milan Kučera
Milan Kučera is a scholar working on Computational Theory and Mathematics, Numerical Analysis and Applied Mathematics, having authored 62 papers that have together received 495 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (15 papers), Contact Mechanics and Variational Inequalities (12 papers) and Advanced Mathematical Modeling in Engineering (12 papers). The work is most often cited by research in Applied Mathematics (156 citations), Computational Theory and Mathematics (225 citations) and Numerical Analysis (63 citations). Milan Kučera has collaborated with scholars based in Czechia, Germany and Slovakia. Frequent co-authors include Pavel Drábek, Jan Eisner, Lucio Boccardo, Martin Väth, Lutz Recke, Daniela Giachetti, Jindřich Nečas, Svatopluk Fučík, Milan Králik and Jiřı́ Neustupa. Their work appears in journals such as Journal of Mathematical Analysis and Applications, Journal of Differential Equations and Nonlinear Analysis.
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.