Ondřej Kreml
- Applied Mathematics top 2%
- Computational Mechanics top 5%
- Mathematical Physics top 5%
- Control and Systems Engineering
- Computational Theory and Mathematics
- Co-authors
- Camillo De LellisEduard FeireislMilan PokornýChristian KlingenbergAlexis VasseurŠárka NečasováJiřı́ NeustupaEmil Wiedemann
- Topics
- Navier-Stokes equation solutions (17 papers)Advanced Mathematical Physics Problems (10 papers)Computational Fluid Dynamics and Aerodynamics (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Differential EquationsSIAM Journal on Mathematical Analysis
- Partner nations
- CzechiaSwitzerlandGermany
In The Last Decade
Ondřej Kreml
16 papers receiving 216 citations
Peers
Comparison fields: 5 of 30
- Applied Mathematics 218
- Computational Mechanics 147
- Mathematical Physics 124
- Control and Systems Engineering 34
- Computational Theory and Mathematics 15
Countries citing papers authored by Ondřej Kreml
This map shows the geographic impact of Ondřej Kreml'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 Ondřej Kreml with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ondřej Kreml more than expected).
Fields of papers citing papers by Ondřej Kreml
This network shows the impact of papers produced by Ondřej Kreml. 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 Ondřej Kreml. The network helps show where Ondřej Kreml may publish in the future.
Co-authorship network of co-authors of Ondřej Kreml
This figure shows the co-authorship network connecting the top 25 collaborators of Ondřej Kreml. A scholar is included among the top collaborators of Ondřej Kreml 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 Ondřej Kreml. Ondřej Kreml is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 9 | |
| 4 | 20 | |
| 5 | Contact discontinuities in multi-dimensional isentropic euler equations | 5 |
| 6 | 12 | |
| 7 | 11 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 14 | |
| 11 | 99 | |
| 12 | 3 | |
| 13 | 21 | |
| 14 | 13 | |
| 15 | 4 | |
| 16 | 6 | |
| 17 | 5 | |
| 18 | A regularity criterion for the angular velocity component in axisymmetric Navier-Stokes equations | 19 |
About Ondřej Kreml
Ondřej Kreml is a scholar working on Applied Mathematics, Mathematical Physics and Computational Mechanics, having authored 18 papers that have together received 244 indexed citations. Recurring topics across this work include Navier-Stokes equation solutions (17 papers), Advanced Mathematical Physics Problems (10 papers) and Computational Fluid Dynamics and Aerodynamics (6 papers). The work is most often cited by research in Applied Mathematics (218 citations), Mathematical Physics (124 citations) and Computational Mechanics (147 citations). Ondřej Kreml has collaborated with scholars based in Czechia, Switzerland and Germany. Frequent co-authors include Camillo De Lellis, Eduard Feireisl, Milan Pokorný, Christian Klingenberg, Alexis Vasseur, Šárka Nečasová, Jiřı́ Neustupa and Emil Wiedemann. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Differential Equations and SIAM Journal on Mathematical 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.