David Gérard‐Varet
- Applied Mathematics top 1%
- Computational Mechanics top 2%
- Computational Theory and Mathematics top 2%
- Mathematical Physics top 5%
- Mechanics of Materials top 10%
- Co-authors
- Emmanuel DormyNader MasmoudiMatthieu HillairetDidier BreschBenoı̂t DesjardinsFrédéric RoussetDaniel Han-KwanChao Wang
- Topics
- Advanced Mathematical Modeling in Engineering (26 papers)Navier-Stokes equation solutions (20 papers)Fluid Dynamics and Turbulent Flows (12 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Fluid MechanicsCommunications in Mathematical Physics
- Partner nations
- FranceBurundiUnited States
In The Last Decade
David Gérard‐Varet
44 papers receiving 836 citations
Peers
Comparison fields: 5 of 47
- Applied Mathematics 597
- Computational Mechanics 478
- Computational Theory and Mathematics 334
- Mathematical Physics 291
- Mechanics of Materials 124
Countries citing papers authored by David Gérard‐Varet
This map shows the geographic impact of David Gérard‐Varet'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 David Gérard‐Varet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Gérard‐Varet more than expected).
Fields of papers citing papers by David Gérard‐Varet
This network shows the impact of papers produced by David Gérard‐Varet. 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 David Gérard‐Varet. The network helps show where David Gérard‐Varet may publish in the future.
Co-authorship network of co-authors of David Gérard‐Varet
This figure shows the co-authorship network connecting the top 25 collaborators of David Gérard‐Varet. A scholar is included among the top collaborators of David Gérard‐Varet 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 David Gérard‐Varet. David Gérard‐Varet 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 | 3 | |
| 3 | 12 | |
| 4 | 4 | |
| 5 | The vanishing viscosity limit for 2D Navier-Stokes in a rough domain | 3 |
| 6 | 5 | |
| 7 | 4 | |
| 8 | 22 | |
| 9 | 31 | |
| 10 | 0 | |
| 11 | 3 | |
| 12 | 30 | |
| 13 | 21 | |
| 14 | 6 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 70 | |
| 18 | 11 | |
| 19 | A zoology of boundary layers | 3 |
| 20 | 24 |
About David Gérard‐Varet
David Gérard‐Varet is a scholar working on Applied Mathematics, Computational Theory and Mathematics and Computational Mechanics, having authored 46 papers that have together received 894 indexed citations. Recurring topics across this work include Advanced Mathematical Modeling in Engineering (26 papers), Navier-Stokes equation solutions (20 papers) and Fluid Dynamics and Turbulent Flows (12 papers). The work is most often cited by research in Applied Mathematics (597 citations), Mathematical Physics (291 citations) and Computational Mechanics (478 citations). David Gérard‐Varet has collaborated with scholars based in France, Burundi and United States. Frequent co-authors include Emmanuel Dormy, Nader Masmoudi, Matthieu Hillairet, Didier Bresch, Benoı̂t Desjardins, Frédéric Rousset, Daniel Han-Kwan, Chao Wang, Thierry Paul and Yasunori Maekawa. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Fluid Mechanics and Communications in Mathematical Physics.
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.