Guillaume Daviller
- Computational Mechanics top 5%
- Fluid Dynamics and Turbulent Flows 19
- Combustion and flame dynamics 11
- Computational Fluid Dynamics and Aerodynamics 10
- Advanced Numerical Methods in Computational Mathematics 4
- Aerospace Engineering top 5%
- Aerodynamics and Acoustics in Jet Flows 18
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- Model Reduction and Neural Networks 5
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- Wind and Air Flow Studies 8
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- Probabilistic and Robust Engineering Design 3
- Co-authors
- Hugues DeniauThierry PoinsotPeter JordanPierre ComteStéphane MoreauGilead TadmorYves GervaisAndré V. G. Cavalieri
- Journals
- SHILAP Revista de lepidopterología (1 paper)Journal of Computational Physics (5 papers)Computer Methods in Applied Mechanics and Engineering (1 paper)
- Partner nations
- FranceUnited StatesCanada
In The Last Decade
Guillaume Daviller
28 papers receiving 365 citations
Peers
Comparison fields: 5 of 41
- Computational Mechanics 330
- Aerospace Engineering 224
- Statistical and Nonlinear Physics 81
- Environmental Engineering 65
- Fluid Flow and Transfer Processes 27
Countries citing papers authored by Guillaume Daviller
This map shows the geographic impact of Guillaume Daviller'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 Guillaume Daviller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guillaume Daviller more than expected).
Fields of papers citing papers by Guillaume Daviller
This network shows the impact of papers produced by Guillaume Daviller. 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 Guillaume Daviller. The network helps show where Guillaume Daviller may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Guillaume Daviller, 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 | 2024 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 0 | |
| 7 | 2023 | 4 | |
| 8 | 2022 | 6 | |
| 9 | 2021 | 11 | |
| 10 | 2021 | 3 | |
| 11 | 2018 | 19 | |
| 12 | 2017 | 21 | |
| 13 | 2017 | 33 | |
| 14 | 2014 | 5 | |
| 15 | 2014 | 8 | |
| 16 | 2013 | 3 | |
| 17 | 2013 | 1 | |
| 18 | 2013 | 2 | |
| 19 | 2011 | 57 | |
| 20 | 2010 | 5 |
About Guillaume Daviller
Guillaume Daviller is a scholar working on Computational Mechanics, Aerospace Engineering and Environmental Engineering, having authored 33 papers that have together received 375 indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (19 papers), Aerodynamics and Acoustics in Jet Flows (18 papers), Combustion and flame dynamics (11 papers), Computational Fluid Dynamics and Aerodynamics (10 papers), Wind and Air Flow Studies (8 papers), Model Reduction and Neural Networks (5 papers), Advanced Numerical Methods in Computational Mathematics (4 papers) and Probabilistic and Robust Engineering Design (3 papers). The work is most often cited by research in Computational Mechanics (330 citations), Aerospace Engineering (224 citations) and Statistical and Nonlinear Physics (81 citations). Guillaume Daviller has collaborated with scholars based in France, United States and Canada. Frequent co-authors include Hugues Deniau, Thierry Poinsot, Peter Jordan, Pierre Comte, Stéphane Moreau, Gilead Tadmor, Yves Gervais, André V. G. Cavalieri, Bernd R. Noack and Marlène Sanjosé. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Computational Physics and Computer Methods in Applied Mechanics and Engineering.
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.