Frédéric Guyomarc'h

440 citations
20 papers · 290 · h-index 7

Impact in

Papers in

    • Embedded Systems Design Techniques 4
    • Parallel Computing and Optimization Techniques 4
    • Real-Time Systems Scheduling 2
    • Model-Driven Software Engineering Techniques 4

Frédéric Guyomarc'h

18 papers receiving 258 citations

Peers

Frédéric Guyomarc'h
Comparison fields: 5 of 60
  • Numerical Analysis 55
  • Computational Theory and Mathematics 160
  • Computational Mathematics 4
  • Computational Mechanics 111
  • Software 16
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Countries citing papers authored by Frédéric Guyomarc'h

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Frédéric Guyomarc'h Line = papers co-authored together Frédéric Guyomarc'h links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2000137
2 200051
3 201223
4 200811
5 202211
6
Least-Squares Polynomial Filters for Ill-Conditioned Linear Systems
20018
7 20127
8 20087
9 20097
10
An Augmented Subspace Conjugate Gradient
19977
11 20234
12
Parallel Sparse Matrix Solver on the GPU Applied to Simulation of Electrical Machines
20093
13 20113
14 20133
15 20193
16
Programming Massively Parallel Architectures using MARTE: a Case Study
20112
17
A Modeling Approach based on UML/MARTE for GPU Architecture
20112
18 20201
19 20240
20 20240

About Frédéric Guyomarc'h

Frédéric Guyomarc'h is a scholar working on Hardware and Architecture, Software, Computational Theory and Mathematics, Numerical Analysis and Computational Mechanics, having authored 20 papers that have together received 290 indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (5 papers), Embedded Systems Design Techniques (4 papers), Model-Driven Software Engineering Techniques (4 papers), Parallel Computing and Optimization Techniques (4 papers), Advanced Optimization Algorithms Research (3 papers), Advanced Numerical Methods in Computational Mathematics (3 papers), Real-Time Systems Scheduling (2 papers) and Topology Optimization in Engineering (2 papers). The work is most often cited by research in Numerical Analysis (55 citations), Computational Theory and Mathematics (160 citations), Computational Mathematics (4 citations), Computational Mechanics (111 citations) and Software (16 citations). Frédéric Guyomarc'h has collaborated with scholars based in France, United Kingdom and Brazil. Frequent co-authors include Jocelyne Erhel, Yousef El-Mabruk Saad, Jean‐Luc Dekeyser, Stéphane Brisset, Yvonnick Le Menach, Stephane ClÉnet, Pierre Boulet, Denis Najjar, Bruno Sudret and Jean‐François Witz. Their work appears in journals such as IEEE Transactions on Magnetics, Applied Mathematics and Computation, SIAM Journal on Matrix Analysis and Applications, Computing in Science & Engineering and SIAM Journal on Scientific Computing.

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.

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