Pascal Hénon

17 papers receiving 249 citations

Peers

Pascal Hénon
Comparison fields: 5 of 42
  • Hardware and Architecture 111
  • Computational Mathematics 9
  • Computational Theory and Mathematics 139
  • Numerical Analysis 40
  • Computational Mechanics 82
Replace Frédéric Guyomarc'h with:
Frédéric Guyomarc'h France
Ronald Kriemann Germany
Kinji Kimura Japan
Pierre Moinier United Kingdom
Stephanie Friedhoff Germany
R. Wienands Germany
Merrell L. Patrick United States
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Pascal Hénon relative to Frédéric Guyomarc'h France Frédéric Guyomarc'h's profile →
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Citations per year

Countries citing papers authored by Pascal Hénon

Since Specialization
Citations

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

Fields of papers citing papers by Pascal Hénon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Pascal Hénon, 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 Pascal Hénon Line = papers co-authored together Pascal Hénon links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2002144
2 200634
3 200823
4 200018
5 199914
6 20066
7 20035
8
PaStiX: A Parallel Direct Solver for Sparse SPD Matrices based on Efficient Static Scheduling and Memory Managment
20014
9 20164
10
Efficient algorithms for direct resolution of large sparse system on clusters of SMP nodes
20034
11
PaStiX: A High-Performance Parallel Direct Solver for Sparse Symmetric Definite Systems
20004
12 20003
13 20182
14
High Performance Complete and Incomplete Factorizations for Very Large Sparse Systems by using Scotch and PaStiX softwares
20041
15
On finding approximate supernodes for an efficient ILU(k) factorization
20061
16 20061
17
Improvement of existing solvers for the simulation of MHD instabilities
20071
18 20071
19 20240

About Pascal Hénon

Pascal Hénon is a scholar working on Computational Theory and Mathematics, Hardware and Architecture, Computer Networks and Communications, Computational Mechanics and Numerical Analysis, having authored 19 papers that have together received 270 indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (12 papers), Parallel Computing and Optimization Techniques (8 papers), Interconnection Networks and Systems (6 papers), Advanced Numerical Methods in Computational Mathematics (5 papers), Electromagnetic Scattering and Analysis (3 papers), VLSI and FPGA Design Techniques (2 papers), Low-power high-performance VLSI design (2 papers) and Distributed and Parallel Computing Systems (2 papers). The work is most often cited by research in Hardware and Architecture (111 citations), Computational Mathematics (9 citations), Computational Theory and Mathematics (139 citations), Numerical Analysis (40 citations) and Computational Mechanics (82 citations). Pascal Hénon has collaborated with scholars based in France, United States and Belgium. Frequent co-authors include Jean Roman, Pierre Ramet, Yousef Saad, François Pellegrini, Xavier Vasseur, Erik Lefebvre, Olivier Coulaud, Laura Grigori, Olivier Czarny and G. Huysmans. Their work appears in journals such as Parallel Computing, Numerical Algorithms, IMA Journal of Numerical Analysis, SIAM Journal on Scientific Computing and Numerical Linear Algebra with Applications.

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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