Gauthier Wissocq
- Computational Mechanics top 5%
- Lattice Boltzmann Simulation Studies 17
- Fluid Dynamics and Turbulent Flows 8
- Fluid Dynamics and Vibration Analysis 5
- Computational Fluid Dynamics and Aerodynamics 2
- Aerospace Engineering top 10%
- Aerodynamics and Fluid Dynamics Research 4
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- Aerosol Filtration and Electrostatic Precipitation 7
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- Gas Dynamics and Kinetic Theory 3
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- Generative Adversarial Networks and Image Synthesis 1
- Co-authors
- Pierre SagautJean‐François BoussugeChristophe CoreixasGuillaume PuigtPierre BoivinSong ZhaoAloïs SengissenNicolas Gourdain
- Journals
- Journal of Computational Physics (6 papers)Physical review. E (4 papers)Physics of Fluids (2 papers)
- Partner nations
- FranceSwitzerlandSweden
In The Last Decade
Gauthier Wissocq
16 papers receiving 331 citations
Peers
Comparison fields: 5 of 22
- Computational Mechanics 344
- Aerospace Engineering 134
- Electrical and Electronic Engineering 168
- Applied Mathematics 16
- Computer Vision and Pattern Recognition 22
Countries citing papers authored by Gauthier Wissocq
This map shows the geographic impact of Gauthier Wissocq'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 Gauthier Wissocq with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gauthier Wissocq more than expected).
Fields of papers citing papers by Gauthier Wissocq
This network shows the impact of papers produced by Gauthier Wissocq. 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 Gauthier Wissocq. The network helps show where Gauthier Wissocq may publish in the future.
Co-authorship network
The 18 scholars most cited alongside Gauthier Wissocq, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 3 | |
| 4 | 2023 | 4 | |
| 5 | 2023 | 11 | |
| 6 | 2022 | 14 | |
| 7 | 2021 | 21 | |
| 8 | 2021 | 24 | |
| 9 | 2020 | 12 | |
| 10 | 2020 | 29 | |
| 11 | 2020 | 16 | |
| 12 | 2020 | 30 | |
| 13 | 2019 | 44 | |
| 14 | Etude des méthodes lattice Boltzmann pour les simulations de systèmes d'air secondaires de turbomachines | 2019 | 1 |
| 15 | 2017 | 115 | |
| 16 | 2016 | 7 | |
| 17 | 2016 | 17 |
About Gauthier Wissocq
Gauthier Wissocq is a scholar working on Computational Mechanics, Applied Mathematics and Aerospace Engineering, having authored 17 papers that have together received 349 indexed citations. Recurring topics across this work include Lattice Boltzmann Simulation Studies (17 papers), Fluid Dynamics and Turbulent Flows (8 papers), Aerosol Filtration and Electrostatic Precipitation (7 papers), Fluid Dynamics and Vibration Analysis (5 papers), Aerodynamics and Fluid Dynamics Research (4 papers), Gas Dynamics and Kinetic Theory (3 papers), Computational Fluid Dynamics and Aerodynamics (2 papers) and Generative Adversarial Networks and Image Synthesis (1 paper). The work is most often cited by research in Computational Mechanics (344 citations), Aerospace Engineering (134 citations) and Electrical and Electronic Engineering (168 citations). Gauthier Wissocq has collaborated with scholars based in France, Switzerland and Sweden. Frequent co-authors include Pierre Sagaut, Jean‐François Boussuge, Christophe Coreixas, Guillaume Puigt, Pierre Boivin, Song Zhao, Aloïs Sengissen, Nicolas Gourdain, Orestis Malaspinas and Rémi Abgrall. Their work appears in journals such as Journal of Computational Physics, Physical review. E, Physics of Fluids, SIAM Journal on Scientific Computing and Journal of Fluid Mechanics.
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.