Milan Tvrdý
- Applied Mathematics top 1%
- Numerical Analysis top 2%
- Computational Theory and Mathematics top 5%
- Control and Systems Engineering top 10%
- Mathematical Physics top 5%
- Co-authors
- Irena RachůnkováŠtefan SchwabikIvo VrkočSvatoslav StaněkJosé Ángel CidAntonín SlavíkAlberto CabadaMirosława Zima
- Topics
- Differential Equations and Boundary Problems (27 papers)Nonlinear Differential Equations Analysis (25 papers)Differential Equations and Numerical Methods (24 papers)
In The Last Decade
Milan Tvrdý
45 papers receiving 523 citations
Peers
Comparison fields: 5 of 36
- Applied Mathematics 528
- Numerical Analysis 329
- Computational Theory and Mathematics 183
- Control and Systems Engineering 127
- Mathematical Physics 125
Countries citing papers authored by Milan Tvrdý
This map shows the geographic impact of Milan Tvrdý'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 Tvrdý with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Milan Tvrdý more than expected).
Fields of papers citing papers by Milan Tvrdý
This network shows the impact of papers produced by Milan Tvrdý. 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 Tvrdý. The network helps show where Milan Tvrdý may publish in the future.
Co-authorship network of co-authors of Milan Tvrdý
This figure shows the co-authorship network connecting the top 25 collaborators of Milan Tvrdý. A scholar is included among the top collaborators of Milan Tvrdý 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 Tvrdý. Milan Tvrdý is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 14 | |
| 3 | 15 | |
| 4 | 6 | |
| 5 | 7 | |
| 6 | 0 | |
| 7 | Impulsive periodic boundary value problem and topological degree | 7 |
| 8 | Second Order Periodic Problem with `-Laplacian and Impulses - Part II | 1 |
| 9 | 107 | |
| 10 | 8 | |
| 11 | 0 | |
| 12 | 0 | |
| 13 | 0 | |
| 14 | 3 | |
| 15 | 3 | |
| 16 | 2 | |
| 17 | 1 | |
| 18 | 4 | |
| 19 | 2 | |
| 20 | 6 |
About Milan Tvrdý
Milan Tvrdý is a scholar working on Numerical Analysis, Applied Mathematics and Computational Theory and Mathematics, having authored 58 papers that have together received 663 indexed citations. Recurring topics across this work include Differential Equations and Boundary Problems (27 papers), Nonlinear Differential Equations Analysis (25 papers) and Differential Equations and Numerical Methods (24 papers). The work is most often cited by research in Numerical Analysis (329 citations), Applied Mathematics (528 citations) and Modeling and Simulation (86 citations). Milan Tvrdý has collaborated with scholars based in Czechia, Spain and Poland. Frequent co-authors include Irena Rachůnková, Štefan Schwabik, Ivo Vrkoč, Svatoslav Staněk, José Ángel Cid, Antonín Slavík, Alberto Cabada, Mirosława Zima, Gennaro Infante and Richard C. Brown. Their work appears in journals such as Journal of Mathematical Analysis and Applications, Physica D Nonlinear Phenomena and Journal of Differential Equations.
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.