Luc Giraud

70 papers receiving 1.5k citations

Peers

Luc Giraud
Comparison fields: 5 of 80
  • Computational Mathematics 37
  • Computational Theory and Mathematics 583
  • Numerical Analysis 172
  • Geophysics 353
  • Computational Mechanics 423
Replace Patrick Amestoy with:
Patrick Amestoy France
Jacko Koster United Kingdom
Patrick Amestoy France
Jianlin Xia United States
Tzanio Kolev United States
I. S. Duff France
Scott MacLachlan Canada
Shivkumar Chandrasekaran United States
Barry Smith United States
J. A. Meijerink Netherlands
Luc Giraud relative to Patrick Amestoy France Patrick Amestoy's profile →
Citations per field
00.5×1.5×
Patrick Amestoy · 1×
Citations per year

Countries citing papers authored by Luc Giraud

Since Specialization
Citations

This map shows the geographic impact of Luc Giraud'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 Luc Giraud with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luc Giraud more than expected).

Fields of papers citing papers by Luc Giraud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luc Giraud. 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 Luc Giraud. The network helps show where Luc Giraud may publish in the future.

Co-authors

The 25 scholars most cited alongside Luc Giraud, 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 Luc Giraud Line = papers co-authored together Luc Giraud links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20221
2 201718
3 201613
4 20118
5
WCIP acceleration
20102
6 200958
7 2007249
8 20071
9
Accelerating Krylov solvers with low rank correction
20060
10 20057
11 200589
12 2005137
13
An embedded iterative scheme in electromagnetism
20041
14
Sparse symmetric preconditioners for dense linear systems in electromagnetism
20022
15
Sparse Symmetric Preconditioners for Dense Linear Systems in Electromagnetism
20021
16 20018
17
Some Sparse Pattern Selection Strategies for Robust Frobenius Norm Minimization Preconditioners in Electromagnetism
20006
18 200082
19
Experiments With Sparse Preconditioning of Dense Problems From Electromagnetic Applications
199910
20
A class of spectral two-level preconditioners
19952

About Luc Giraud

Luc Giraud is a scholar working on Computational Theory and Mathematics, Numerical Analysis, Hardware and Architecture, Computational Mechanics and Atomic and Molecular Physics, and Optics, having authored 72 papers that have together received 1.6k indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (43 papers), Electromagnetic Scattering and Analysis (32 papers), Advanced Numerical Methods in Computational Mathematics (25 papers), Parallel Computing and Optimization Techniques (14 papers), Electromagnetic Simulation and Numerical Methods (13 papers), Numerical methods for differential equations (7 papers), Numerical Methods and Algorithms (5 papers) and Seismic Waves and Analysis (4 papers). The work is most often cited by research in Computational Mathematics (37 citations), Computational Theory and Mathematics (583 citations), Numerical Analysis (172 citations), Geophysics (353 citations) and Computational Mechanics (423 citations). Luc Giraud has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Bruno Carpentieri, Julien Langou, I. S. Duff, Miroslav Rozložńık, S. Operto, J. Virieux, Serge Gratton, Patrick Amestoy, Jean-Yves L’Excellent and Iain Duff. Their work appears in journals such as SIAM Journal on Scientific Computing, Numerical Linear Algebra with Applications, SIAM Journal on Matrix Analysis and Applications, The International Journal of High Performance Computing Applications and ACM Transactions on Mathematical Software.

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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