Pierre Moinier
Impact in
- Computational Mathematics top 5%
- Computational Mechanics top 10%
- Computational Fluid Dynamics and Aerodynamics
- Fluid Dynamics and Turbulent Flows
- Advanced Numerical Methods in Computational Mathematics
Papers in
-
- Computational Fluid Dynamics and Aerodynamics 5
- Advanced Numerical Methods in Computational Mathematics 3
- Fluid Dynamics and Turbulent Flows 3
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- Gas Dynamics and Kinetic Theory 2
- Co-authors
- Michael B. Giles (5 shared papers)Michael Lubasch (2 shared papers)Dieter Jaksch (2 shared papers)Martin Kiffner (1 shared paper)Jaewoo Joo (1 shared paper)Jens‐Dominik Müller (1 shared paper)David Darmofal (1 shared paper)John N. Coupland (1 shared paper)
- Journals
- Journal of Computational Physics (3 papers)Journal of Propulsion and Power (2 papers)Physical review. A (1 paper)AIAA Journal (1 paper)
- Partner nations
- United KingdomSingaporeUnited States
In The Last Decade
Pierre Moinier
8 papers receiving 418 citations
Peers
Comparison fields: 5 of 35
- Computational Mathematics 20
- Computational Mechanics 146
- Artificial Intelligence 222
- Aerospace Engineering 98
- Atomic and Molecular Physics, and Optics 109
Countries citing papers authored by Pierre Moinier
This map shows the geographic impact of Pierre Moinier'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 Pierre Moinier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pierre Moinier more than expected).
Fields of papers citing papers by Pierre Moinier
This network shows the impact of papers produced by Pierre Moinier. 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 Pierre Moinier. The network helps show where Pierre Moinier may publish in the future.
Co-authors
The 9 scholars most cited alongside Pierre Moinier, 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 | 215 | |
| 2 | 2002 | 83 | |
| 3 | 2005 | 34 | |
| 4 | 2018 | 31 | |
| 5 | 2000 | 22 | |
| 6 | 2007 | 18 | |
| 7 | 2002 | 17 | |
| 8 | 1999 | 9 |
About Pierre Moinier
Pierre Moinier is a scholar working on Computational Mechanics, Applied Mathematics, Aerospace Engineering, Computer Networks and Communications and Numerical Analysis, having authored 8 papers that have together received 429 indexed citations. Recurring topics across this work include Computational Fluid Dynamics and Aerodynamics (5 papers), Advanced Numerical Methods in Computational Mathematics (3 papers), Fluid Dynamics and Turbulent Flows (3 papers), Aerodynamics and Acoustics in Jet Flows (2 papers), Gas Dynamics and Kinetic Theory (2 papers), Numerical methods for differential equations (1 paper), Tensor decomposition and applications (1 paper) and Quantum Computing Algorithms and Architecture (1 paper). The work is most often cited by research in Computational Mathematics (20 citations), Computational Mechanics (146 citations), Artificial Intelligence (222 citations), Aerospace Engineering (98 citations) and Atomic and Molecular Physics, and Optics (109 citations). Pierre Moinier has collaborated with scholars based in United Kingdom, Singapore and United States. Frequent co-authors include Michael B. Giles, Michael Lubasch, Dieter Jaksch, Martin Kiffner, Jaewoo Joo, Jens‐Dominik Müller, David Darmofal, John N. Coupland and Jens-Dominik Müeller. Their work appears in journals such as Journal of Computational Physics, Journal of Propulsion and Power, Physical review. A and AIAA Journal.
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.