J. Laviéville
- Computational Mechanics top 5%
- Fluid Dynamics and Heat Transfer 7
- Heat transfer and supercritical fluids 6
- Fluid Dynamics Simulations and Interactions 5
- Cyclone Separators and Fluid Dynamics 3
- Aerospace Engineering top 5%
- Nuclear Engineering Thermal-Hydraulics 9
- Nuclear reactor physics and engineering 4
- Ocean Engineering top 10%
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- Fluid Dynamics and Mixing 13
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- Cavitation Phenomena in Pumps 3
- Co-authors
- S. MimouniM. BouckerF. ArchambeauD. BestionPierre CosteN. MéchitouaMatthew MartinOlivier Simonin
- Journals
- Chemical Engineering Science (1 paper)Process Safety and Environmental Protection (1 paper)International Journal for Numerical Methods in Fluids (2 papers)
- Partner nations
- FranceUnited StatesGermany
In The Last Decade
J. Laviéville
23 papers receiving 423 citations
Peers
Comparison fields: 5 of 33
- Computational Mechanics 255
- Aerospace Engineering 234
- Ocean Engineering 83
- Biomedical Engineering 182
- Mechanical Engineering 146
Countries citing papers authored by J. Laviéville
This map shows the geographic impact of J. Laviéville'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 J. Laviéville with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Laviéville more than expected).
Fields of papers citing papers by J. Laviéville
This network shows the impact of papers produced by J. Laviéville. 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 J. Laviéville. The network helps show where J. Laviéville may publish in the future.
Co-authorship network
The 17 scholars most cited alongside J. Laviéville, 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 | 2018 | 7 | |
| 3 | 2018 | 15 | |
| 4 | 2017 | 3 | |
| 5 | 2017 | 13 | |
| 6 | 2016 | 10 | |
| 7 | 2016 | 8 | |
| 8 | 2016 | 15 | |
| 9 | 2015 | 27 | |
| 10 | 2015 | 12 | |
| 11 | 2012 | 3 | |
| 12 | 2011 | 25 | |
| 13 | 2011 | 39 | |
| 14 | 2010 | 14 | |
| 15 | 2009 | 27 | |
| 16 | 2009 | 27 | |
| 17 | 2008 | 21 | |
| 18 | Modeling and computation of cavitation flows: a two-phase flow approach | 2006 | 2 |
| 19 | 2006 | 6 | |
| 20 | A unifying modelling approach for the numerical prediction of dilute and dense gas-solid two phase flow | 1996 | 16 |
About J. Laviéville
J. Laviéville is a scholar working on Computational Mechanics, Aerospace Engineering and Biomedical Engineering, having authored 24 papers that have together received 445 indexed citations. Recurring topics across this work include Fluid Dynamics and Mixing (13 papers), Nuclear Engineering Thermal-Hydraulics (9 papers), Fluid Dynamics and Heat Transfer (7 papers), Heat transfer and supercritical fluids (6 papers), Fluid Dynamics Simulations and Interactions (5 papers), Nuclear reactor physics and engineering (4 papers), Cyclone Separators and Fluid Dynamics (3 papers) and Cavitation Phenomena in Pumps (3 papers). The work is most often cited by research in Computational Mechanics (255 citations), Aerospace Engineering (234 citations) and Ocean Engineering (83 citations). J. Laviéville has collaborated with scholars based in France, United States and Germany. Frequent co-authors include S. Mimouni, M. Boucker, F. Archambeau, D. Bestion, Pierre Coste, N. Méchitoua, Matthew Martin, Olivier Simonin, Pierre Ruyer and C. Vallée. Their work appears in journals such as Chemical Engineering Science, Process Safety and Environmental Protection 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.