Patrick Amestoy

4.9k total citations · 1 hit paper
34 papers, 2.8k citations indexed

About

Patrick Amestoy is a scholar working on Computational Theory and Mathematics, Geophysics and Computational Mechanics. According to data from OpenAlex, Patrick Amestoy has authored 34 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computational Theory and Mathematics, 8 papers in Geophysics and 7 papers in Computational Mechanics. Recurrent topics in Patrick Amestoy's work include Matrix Theory and Algorithms (21 papers), Seismic Imaging and Inversion Techniques (6 papers) and Parallel Computing and Optimization Techniques (6 papers). Patrick Amestoy is often cited by papers focused on Matrix Theory and Algorithms (21 papers), Seismic Imaging and Inversion Techniques (6 papers) and Parallel Computing and Optimization Techniques (6 papers). Patrick Amestoy collaborates with scholars based in France, United Kingdom and United States. Patrick Amestoy's co-authors include Iain Duff, Jean-Yves L’Excellent, Jacko Koster, Timothy A. Davis, S. Operto, Alfredo Buttari, Théo Mary, J. Virieux, Luc Giraud and Xiaoye Sherry Li and has published in prestigious journals such as Geophysics, Geophysical Journal International and Computers & Geosciences.

In The Last Decade

Patrick Amestoy

34 papers receiving 2.6k citations

Hit Papers

A Fully Asynchronous Multifrontal Solver Using Distribute... 2001 2026 2009 2017 2001 400 800 1.2k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Patrick Amestoy France 14 927 862 583 544 487 34 2.8k
Jean-Yves L’Excellent France 12 1.1k 1.2× 731 0.8× 575 1.0× 687 1.3× 503 1.0× 29 2.9k
Patrick Amestoy France 8 678 0.7× 528 0.6× 405 0.7× 266 0.5× 245 0.5× 14 1.8k
Klaus Gärtner Germany 20 646 0.7× 443 0.5× 728 1.2× 238 0.4× 359 0.7× 45 2.7k
Luc Giraud France 20 423 0.5× 583 0.7× 501 0.9× 353 0.6× 629 1.3× 72 1.6k
Xiaoye Sherry Li United States 22 674 0.7× 1.1k 1.2× 649 1.1× 177 0.3× 703 1.4× 87 2.7k
Jacko Koster United Kingdom 4 723 0.8× 653 0.8× 379 0.7× 149 0.3× 366 0.8× 7 1.8k
J.M. Donato United States 11 1.0k 1.1× 929 1.1× 597 1.0× 130 0.2× 734 1.5× 18 3.2k
Tzanio Kolev United States 24 1.2k 1.3× 469 0.5× 388 0.7× 136 0.3× 259 0.5× 72 1.9k
Roldan Pozo United States 10 931 1.0× 1.0k 1.2× 607 1.0× 128 0.2× 682 1.4× 30 3.3k
Victor Eijkhout United States 19 1.1k 1.2× 1.3k 1.5× 649 1.1× 129 0.2× 776 1.6× 69 3.9k

Countries citing papers authored by Patrick Amestoy

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Amestoy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patrick Amestoy

This figure shows the co-authorship network connecting the top 25 collaborators of Patrick Amestoy. A scholar is included among the top collaborators of Patrick Amestoy based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Patrick Amestoy. Patrick Amestoy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Amestoy, Patrick, et al.. (2024). Five-Precision GMRES-Based Iterative Refinement. SIAM Journal on Matrix Analysis and Applications. 45(1). 529–552. 9 indexed citations
2.
Amestoy, Patrick, et al.. (2019). Efficient use of sparsity by direct solvers applied to 3D controlled-source EM problems. Computational Geosciences. 23(6). 1237–1258. 7 indexed citations
3.
Amestoy, Patrick, Jean-Yves L’Excellent, & Gilles Moreau. (2019). On Exploiting Sparsity of Multiple Right-Hand Sides in Sparse Direct Solvers. SIAM Journal on Scientific Computing. 41(1). A269–A291. 8 indexed citations
4.
Amestoy, Patrick, Alfredo Buttari, Jean-Yves L’Excellent, & Théo Mary. (2019). Performance and Scalability of the Block Low-Rank Multifrontal Factorization on Multicore Architectures. ACM Transactions on Mathematical Software. 45(1). 1–26. 158 indexed citations
5.
Shantsev, D. V., et al.. (2017). Large-scale 3-D EM modelling with a Block Low-Rank multifrontal direct solver. Geophysical Journal International. 209(3). 1558–1571. 22 indexed citations
6.
Amestoy, Patrick, Alfredo Buttari, Jean-Yves L’Excellent, & Théo Mary. (2017). On the Complexity of the Block Low-Rank Multifrontal Factorization. SIAM Journal on Scientific Computing. 39(4). A1710–A1740. 37 indexed citations
7.
Amestoy, Patrick, Romain Brossier, Alfredo Buttari, et al.. (2016). Fast 3D frequency-domain full-waveform inversion with a parallel block low-rank multifrontal direct solver: Application to OBC data from the North Sea. Geophysics. 81(6). R363–R383. 50 indexed citations
8.
Amestoy, Patrick, et al.. (2014). Shared-Memory Parallelism and Low-Rank Approximation Techniques Applied to Direct Solvers in FEM Simulation. IEEE Transactions on Magnetics. 50(2). 517–520. 10 indexed citations
9.
Rouet, François-Henry, Patrick Amestoy, & Bora Uçar. (2009). On computing arbitrary entries of the inverse of a matrix. 1 indexed citations
10.
Operto, S., et al.. (2008). FWT2D: A massively parallel program for frequency-domain full-waveform tomography of wide-aperture seismic data—Part 2. Computers & Geosciences. 35(3). 496–514. 53 indexed citations
12.
Amestoy, Patrick, Xiaoye Sherry Li, & Stéphane Pralet. (2007). Unsymmetric Ordering Using A Constrained Markowitz Scheme. SIAM Journal on Matrix Analysis and Applications. 29(1). 302–327. 7 indexed citations
13.
Amestoy, Patrick, et al.. (2007). Analysis of the out-of-core solution phase of a parallel multifrontal approach. Science and Technology Facilities Council. 1 indexed citations
14.
Amestoy, Patrick, Iain Duff, & Christof Vömel. (2004). Task Scheduling in an Asynchronous Distributed Memory Multifrontal Solver. SIAM Journal on Matrix Analysis and Applications. 26(2). 544–565. 15 indexed citations
15.
Amestoy, Patrick, Iain Duff, Jean-Yves L’Excellent, & Jacko Koster. (2001). A Fully Asynchronous Multifrontal Solver Using Distributed Dynamic Scheduling. SIAM Journal on Matrix Analysis and Applications. 23(1). 15–41. 1441 indexed citations breakdown →
16.
Amestoy, Patrick, Iain Duff, Jean-Yves L’Excellent, & Xiaoye Sherry Li. (2001). Analysis and comparison of two general sparse solvers for distributed memory computers. ACM Transactions on Mathematical Software. 27(4). 388–421. 39 indexed citations
17.
Amestoy, Patrick, Timothy A. Davis, & Iain Duff. (1996). An Approximate Minimum Degree Ordering Algorithm. SIAM Journal on Matrix Analysis and Applications. 17(4). 886–905. 440 indexed citations
18.
Amestoy, Patrick, et al.. (1996). Multifrontal QR Factorization in a Multiprocessor Environment. Numerical Linear Algebra with Applications. 3(4). 275–300. 1 indexed citations
19.
Amestoy, Patrick, et al.. (1993). Memory Management Issues in Sparse Multifrontal Methods On Multiprocessors. Science and Technology Facilities Council. 7(1). 64–82. 39 indexed citations
20.
Amestoy, Patrick, et al.. (1989). Vectorization of a Multiprocessor Multifrontal Code. Science and Technology Facilities Council. 3(3). 41–59. 74 indexed citations

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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