Bruno Piar
- Computational Mechanics top 5%
- Advanced Numerical Methods in Computational Mathematics 5
- Computational Fluid Dynamics and Aerodynamics 4
- Fluid Dynamics and Heat Transfer 3
- Lattice Boltzmann Simulation Studies 2
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- Contact Mechanics and Variational Inequalities 2
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- Nuclear Materials and Properties 2
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- Nuclear reactor physics and engineering 2
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- Dynamics and Control of Mechanical Systems 2
- Co-authors
- Céline LapuertaFranck BoyerSébastian MinjeaudMichel QuintardJacques MagnaudetJ.‐C. LatchéPhilippe AngotLaurent Stainier
- Partner nations
- FranceMoroccoSouth Korea
In The Last Decade
Bruno Piar
12 papers receiving 384 citations
Peers
Comparison fields: 5 of 54
- Computational Mechanics 275
- Surfaces, Coatings and Films 26
- Computational Theory and Mathematics 51
- Numerical Analysis 17
- Materials Chemistry 123
Countries citing papers authored by Bruno Piar
This map shows the geographic impact of Bruno Piar'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 Bruno Piar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bruno Piar more than expected).
Fields of papers citing papers by Bruno Piar
This network shows the impact of papers produced by Bruno Piar. 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 Bruno Piar. The network helps show where Bruno Piar may publish in the future.
Co-authorship network
The 20 scholars most cited alongside Bruno Piar, 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 | 2020 | 9 | |
| 2 | 2020 | 8 | |
| 3 | 2018 | 0 | |
| 4 | 2012 | 85 | |
| 5 | 2010 | 7 | |
| 6 | 2010 | 15 | |
| 7 | 2009 | 11 | |
| 8 | 2009 | 202 | |
| 9 | 2009 | 6 | |
| 10 | A multigrid method with local adaptive refinement, application to a ternary Cahn-Hilliard model. | 2008 | 1 |
| 11 | 2008 | 5 | |
| 12 | 2007 | 4 | |
| 13 | 2006 | 44 |
About Bruno Piar
Bruno Piar is a scholar working on Computational Mechanics, Computational Theory and Mathematics, Applied Mathematics, Control and Systems Engineering and Materials Chemistry, having authored 13 papers that have together received 397 indexed citations. Recurring topics across this work include Advanced Numerical Methods in Computational Mathematics (5 papers), Computational Fluid Dynamics and Aerodynamics (4 papers), Fluid Dynamics and Heat Transfer (3 papers), Nuclear reactor physics and engineering (2 papers), Contact Mechanics and Variational Inequalities (2 papers), Lattice Boltzmann Simulation Studies (2 papers), Dynamics and Control of Mechanical Systems (2 papers) and Nuclear Materials and Properties (2 papers). The work is most often cited by research in Computational Mechanics (275 citations), Surfaces, Coatings and Films (26 citations), Computational Theory and Mathematics (51 citations), Numerical Analysis (17 citations) and Materials Chemistry (123 citations). Bruno Piar has collaborated with scholars based in France, Morocco and South Korea. Frequent co-authors include Céline Lapuerta, Franck Boyer, Sébastian Minjeaud, Michel Quintard, Jacques Magnaudet, J.‐C. Latché, Philippe Angot, Laurent Stainier, Frédéric Dubois and Yann Monerie. Their work appears in journals such as CALCOLO, Transport in Porous Media, Journal of Fluid Mechanics, The Journal of Physical Chemistry C and Nuclear Engineering and Design.
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.