Frédéric Guyomarc'h
Impact in
- Numerical Analysis top 10%
- Numerical methods for differential equations
- Advanced Optimization Algorithms Research
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- Matrix Theory and Algorithms
Papers in
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- Matrix Theory and Algorithms 5
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- Embedded Systems Design Techniques 4
- Parallel Computing and Optimization Techniques 4
- Co-authors
- Jocelyne Erhel (4 shared papers)Yousef Saad (2 shared papers)Jean‐Luc Dekeyser (4 shared papers)S. Brisset (3 shared papers)Yvonnick Le Menach (6 shared papers)S. Clénet (2 shared papers)Jeyan Thiyagalingam (1 shared paper)Zuqi Tang (1 shared paper)
- Journals
- IEEE Transactions on Magnetics (6 papers)SIAM Journal on Scientific Computing (1 paper)Computing in Science & Engineering (1 paper)Energies (1 paper)Applied Mathematics and Computation (1 paper)
- Partner nations
- FranceUnited KingdomBrazil
In The Last Decade
Frédéric Guyomarc'h
16 papers receiving 245 citations
Peers
Comparison fields: 5 of 58
- Numerical Analysis 57
- Computational Theory and Mathematics 158
- Computational Mathematics 4
- Computational Mechanics 112
- Software 14
Countries citing papers authored by Frédéric Guyomarc'h
This map shows the geographic impact of Frédéric Guyomarc'h'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 Frédéric Guyomarc'h with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frédéric Guyomarc'h more than expected).
Fields of papers citing papers by Frédéric Guyomarc'h
This network shows the impact of papers produced by Frédéric Guyomarc'h. 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 Frédéric Guyomarc'h. The network helps show where Frédéric Guyomarc'h may publish in the future.
Co-authors
The 17 scholars most cited alongside Frédéric Guyomarc'h, 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 | 2000 | 137 | |
| 2 | 2000 | 49 | |
| 3 | 2012 | 23 | |
| 4 | 2022 | 11 | |
| 5 | 2008 | 11 | |
| 6 | An Augmented Subspace Conjugate Gradient | 1997 | 8 |
| 7 | 2001 | 7 | |
| 8 | 2012 | 7 | |
| 9 | 2009 | 7 | |
| 10 | Parallel Sparse Matrix Solver on the GPU Applied to Simulation of Electrical Machines | 2009 | 3 |
| 11 | 2019 | 3 | |
| 12 | 2013 | 3 | |
| 13 | 2023 | 3 | |
| 14 | 2011 | 3 | |
| 15 | Programming Massively Parallel Architectures using MARTE: a Case Study | 2011 | 2 |
| 16 | 2020 | 1 | |
| 17 | 2024 | 0 | |
| 18 | 2024 | 0 |
About Frédéric Guyomarc'h
Frédéric Guyomarc'h is a scholar working on Computational Theory and Mathematics, Hardware and Architecture, Computational Mechanics, Electrical and Electronic Engineering and Numerical Analysis, having authored 18 papers that have together received 278 indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (5 papers), Embedded Systems Design Techniques (4 papers), Parallel Computing and Optimization Techniques (4 papers), Advanced Numerical Methods in Computational Mathematics (3 papers), Advanced Optimization Algorithms Research (3 papers), Electromagnetic Scattering and Analysis (2 papers), Microstructure and Mechanical Properties of Steels (2 papers) and Model-Driven Software Engineering Techniques (2 papers). The work is most often cited by research in Numerical Analysis (57 citations), Computational Theory and Mathematics (158 citations), Computational Mathematics (4 citations), Computational Mechanics (112 citations) and Software (14 citations). Frédéric Guyomarc'h has collaborated with scholars based in France, United Kingdom and Brazil. Frequent co-authors include Jocelyne Erhel, Yousef Saad, Jean‐Luc Dekeyser, S. Brisset, Yvonnick Le Menach, S. Clénet, Jeyan Thiyagalingam, Zuqi Tang, Pierre Boulet and Sven‐Bodo Scholz. Their work appears in journals such as IEEE Transactions on Magnetics, SIAM Journal on Scientific Computing, Computing in Science & Engineering, Energies and Applied Mathematics and Computation.
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.