Pierre Ramet

728 total citations
24 papers, 313 citations indexed

About

Pierre Ramet is a scholar working on Hardware and Architecture, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Pierre Ramet has authored 24 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Hardware and Architecture, 11 papers in Computational Theory and Mathematics and 8 papers in Computer Networks and Communications. Recurrent topics in Pierre Ramet's work include Matrix Theory and Algorithms (11 papers), Parallel Computing and Optimization Techniques (10 papers) and Advanced Numerical Methods in Computational Mathematics (6 papers). Pierre Ramet is often cited by papers focused on Matrix Theory and Algorithms (11 papers), Parallel Computing and Optimization Techniques (10 papers) and Advanced Numerical Methods in Computational Mathematics (6 papers). Pierre Ramet collaborates with scholars based in France, United States and United Kingdom. Pierre Ramet's co-authors include Jean Roman, Pascal Hénon, S. Pamela, G. Huysmans, Ellen van der Plas, Mathieu Faverge, Maxime Barrault, Jack Dongarra, François Pellegrini and Olivier Coulaud and has published in prestigious journals such as Journal of Computational Physics, SIAM Journal on Scientific Computing and Plasma Physics and Controlled Fusion.

In The Last Decade

Pierre Ramet

19 papers receiving 298 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pierre Ramet France 7 117 85 79 77 58 24 313
Ralf Gruber Switzerland 9 61 0.5× 22 0.3× 22 0.3× 80 1.0× 56 1.0× 30 248
Dhairya Malhotra United States 7 31 0.3× 16 0.2× 47 0.6× 70 0.9× 22 0.4× 16 283
D. Hwang United States 13 264 2.3× 34 0.4× 54 0.7× 8 0.1× 108 1.9× 25 502
Robert Speck Germany 10 26 0.2× 61 0.7× 35 0.4× 133 1.7× 17 0.3× 23 270
Rich Hornung United States 5 11 0.1× 27 0.3× 89 1.1× 95 1.2× 8 0.1× 10 295
Pascal Hénon France 5 16 0.1× 101 1.2× 57 0.7× 69 0.9× 7 0.1× 12 193
Tobias Weinzierl United Kingdom 10 12 0.1× 32 0.4× 46 0.6× 166 2.2× 15 0.3× 33 276
P. Pavlo Czechia 11 164 1.4× 6 0.1× 12 0.2× 180 2.3× 74 1.3× 43 378
J. L. V. Lewandowski United States 11 313 2.7× 5 0.1× 23 0.3× 22 0.3× 253 4.4× 41 402
Willi Schönauer Germany 7 153 1.3× 74 0.9× 23 0.3× 108 1.4× 150 2.6× 27 362

Countries citing papers authored by Pierre Ramet

Since Specialization
Citations

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

Fields of papers citing papers by Pierre Ramet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pierre Ramet

This figure shows the co-authorship network connecting the top 25 collaborators of Pierre Ramet. A scholar is included among the top collaborators of Pierre Ramet 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 Pierre Ramet. Pierre Ramet 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
2.
Falgout, Robert D., et al.. (2025). Toward an Algebraic Multigrid Method for the Indefinite Helmholtz Equation. SIAM Journal on Scientific Computing. S285–S310.
3.
Darve, Eric, et al.. (2018). Sparse supernodal solver using block low-rank compression: Design, performance and analysis. Journal of Computational Science. 27. 255–270.
4.
Faverge, Mathieu, et al.. (2017). Reordering Strategy for Blocking Optimization in Sparse Linear Solvers. SIAM Journal on Matrix Analysis and Applications. 38(1). 226–248. 8 indexed citations
5.
Faverge, Mathieu, et al.. (2016). Stratégie de renumérotation pour optimiser la granularité des calculs dans la résolution des systèmes linéaires creux. HAL (Le Centre pour la Communication Scientifique Directe). 4 indexed citations
6.
Ramet, Pierre, et al.. (2014). Shared Memory Parallelism for 3D Cartesian Discrete Ordinates Solver. 39. 4105–4105. 8 indexed citations
7.
Agullo, Emmanuel, George Bosilca, Bérenger Bramas, et al.. (2012). Poster: Matrices over Runtime Systems at Exascale. 1332–1332. 2 indexed citations
8.
Barrault, Maxime, et al.. (2010). Efficient parallel resolution of the simplified transport equations in mixed-dual formulation. Journal of Computational Physics. 230(5). 2004–2020. 5 indexed citations
9.
Huysmans, G., S. Pamela, Ellen van der Plas, & Pierre Ramet. (2009). Non-linear MHD simulations of edge localized modes (ELMs). Plasma Physics and Controlled Fusion. 51(12). 124012–124012. 109 indexed citations
10.
Barrault, Maxime, et al.. (2009). A Non Overlapping Parallel Domain Decomposition Method Applied to The Simplified Transport Equations. HAL (Le Centre pour la Communication Scientifique Directe). 3 indexed citations
11.
Barrault, Maxime, et al.. (2008). A Domain Decomposition Method Applied to the Simplified Transport Equations. 91–97. 2 indexed citations
12.
Faverge, Mathieu, et al.. (2008). Dynamic scheduling for sparse direct solver on NUMA architectures. HAL (Le Centre pour la Communication Scientifique Directe). 2 indexed citations
13.
Faverge, Mathieu, et al.. (2008). A NUMA Aware Scheduler for a Parallel Sparse Direct Solver. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
14.
Hénon, Pascal, Pierre Ramet, & Jean Roman. (2006). On finding approximate supernodes for an efficient ILU(k) factorization. HAL (Le Centre pour la Communication Scientifique Directe).
15.
Nkonga, Boniface, et al.. (2006). Efficient solution technique for low Mach number compressible multiphase problems. HAL (Le Centre pour la Communication Scientifique Directe). 2 indexed citations
16.
Hénon, Pascal, François Pellegrini, Pierre Ramet, Jean Roman, & Yousef Saad. (2004). High Performance Complete and Incomplete Factorizations for Very Large Sparse Systems by using Scotch and PaStiX softwares. HAL (Le Centre pour la Communication Scientifique Directe).
17.
Hénon, Pascal, Pierre Ramet, & Jean Roman. (2003). Efficient algorithms for direct resolution of large sparse system on clusters of SMP nodes. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
18.
Hénon, Pascal, Pierre Ramet, & Jean Roman. (2002). PaStiX: a high-performance parallel direct solver for sparse symmetric positive definite systems. Parallel Computing. 28(2). 301–321. 126 indexed citations
19.
Hénon, Pascal, Pierre Ramet, & Jean Roman. (2001). PaStiX: A Parallel Direct Solver for Sparse SPD Matrices based on Efficient Static Scheduling and Memory Managment. HAL (Le Centre pour la Communication Scientifique Directe). 4 indexed citations
20.
Hénon, Pascal, Pierre Ramet, & Jean Roman. (2000). PaStiX: A High-Performance Parallel Direct Solver for Sparse Symmetric Definite Systems. HAL (Le Centre pour la Communication Scientifique Directe). 3 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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