Pavel Váchal
- Computational Mechanics top 5%
- Applied Mathematics top 5%
- Computer Graphics and Computer-Aided Design top 10%
- Numerical Analysis
- Nuclear and High Energy Physics
- Co-authors
- Pierre‐Henri MaireRaphaël LoubèreMikhail ShashkovBurton WendroffRichard LiškaRao GarimellaMilan KuchaříkJ. Limpouch
- Topics
- Computational Fluid Dynamics and Aerodynamics (15 papers)Advanced Numerical Methods in Computational Mathematics (10 papers)Fluid Dynamics and Turbulent Flows (5 papers)
- Journals
- Journal of Computational PhysicsComputers & Mathematics with ApplicationsInternational Journal for Numerical Methods in Fluids
- Partner nations
- CzechiaUnited StatesFrance
In The Last Decade
Pavel Váchal
21 papers receiving 309 citations
Peers
Comparison fields: 5 of 36
- Computational Mechanics 281
- Applied Mathematics 77
- Computer Graphics and Computer-Aided Design 25
- Numerical Analysis 23
- Nuclear and High Energy Physics 17
Countries citing papers authored by Pavel Váchal
This map shows the geographic impact of Pavel Váchal'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 Pavel Váchal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pavel Váchal more than expected).
Fields of papers citing papers by Pavel Váchal
This network shows the impact of papers produced by Pavel Váchal. 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 Pavel Váchal. The network helps show where Pavel Váchal may publish in the future.
Co-authorship network of co-authors of Pavel Váchal
This figure shows the co-authorship network connecting the top 25 collaborators of Pavel Váchal. A scholar is included among the top collaborators of Pavel Váchal 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 Pavel Váchal. Pavel Váchal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 13 | |
| 7 | 13 | |
| 8 | 1 | |
| 9 | 51 | |
| 10 | 7 | |
| 11 | 59 | |
| 12 | 28 | |
| 13 | 38 | |
| 14 | 6 | |
| 15 | 7 | |
| 16 | Arbitrary Lagrangian-Eulerian (ALE) methods in compressible fluid dynamics | 1 |
| 17 | 1 | |
| 18 | 2 | |
| 19 | 5 | |
| 20 | 44 |
About Pavel Váchal
Pavel Váchal is a scholar working on Computational Mechanics, Applied Mathematics and Numerical Analysis, having authored 21 papers that have together received 318 indexed citations. Recurring topics across this work include Computational Fluid Dynamics and Aerodynamics (15 papers), Advanced Numerical Methods in Computational Mathematics (10 papers) and Fluid Dynamics and Turbulent Flows (5 papers). The work is most often cited by research in Computational Mechanics (281 citations), Applied Mathematics (77 citations) and Computer Graphics and Computer-Aided Design (25 citations). Pavel Váchal has collaborated with scholars based in Czechia, United States and France. Frequent co-authors include Pierre‐Henri Maire, Raphaël Loubère, Mikhail Shashkov, Burton Wendroff, Richard Liška, Rao Garimella, Milan Kuchařík, J. Limpouch, F. Borgonovi and G. L. Celardo. Their work appears in journals such as Journal of Computational Physics, Computers & Mathematics with Applications and International Journal for Numerical Methods in Fluids.
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.