Stéphane Pralet
Impact in
- Numerical Analysis top 5%
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- Matrix Theory and Algorithms
Papers in
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- Numerical methods for differential equations 2
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- Parallel Computing and Optimization Techniques 3
- Co-authors
- Patrick AmestoyAbdou GuermoucheJean-Yves L’ExcellentIain DuffM. ArioliSerge GrattonI. S. DuffChristof Vömel
- Journals
- Parallel Computing (3 papers)SIAM Journal on Matrix Analysis and Applications (3 papers)SIAM Journal on Scientific Computing (1 paper)
- Partner nations
- FranceUnited Kingdom
In The Last Decade
Stéphane Pralet
8 papers receiving 818 citations
Hit Papers
Peers
Comparison fields: 5 of 80
- Numerical Analysis 99
- Computational Theory and Mathematics 270
- Computational Mechanics 338
- Geophysics 185
- Computational Mathematics 6
Countries citing papers authored by Stéphane Pralet
This map shows the geographic impact of Stéphane Pralet'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 Stéphane Pralet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stéphane Pralet more than expected).
Fields of papers citing papers by Stéphane Pralet
This network shows the impact of papers produced by Stéphane Pralet. 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 Stéphane Pralet. The network helps show where Stéphane Pralet may publish in the future.
Co-authorship network
The 11 scholars most cited alongside Stéphane Pralet, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 7 | |
| 2 | 2007 | 21 | |
| 3 | 2007 | 20 | |
| 4 | 2007 | 7 | |
| 5 | 2005 | 52 | |
| 6 | Hybrid scheduling for the parallel solution of linear systems Hit paper breakdown → | 2005 | 751 |
| 7 | Strategies for scaling and pivoting for sparse symmetric indefinite problems | 2004 | 1 |
| 8 | 2003 | 12 |
About Stéphane Pralet
Stéphane Pralet is a scholar working on Numerical Analysis, Hardware and Architecture, Computational Theory and Mathematics, Statistics, Probability and Uncertainty and Computational Mechanics, having authored 8 papers that have together received 871 indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (6 papers), Advanced Numerical Methods in Computational Mathematics (3 papers), Parallel Computing and Optimization Techniques (3 papers), Probabilistic and Robust Engineering Design (2 papers), Distributed and Parallel Computing Systems (2 papers), Interconnection Networks and Systems (2 papers), Numerical methods for differential equations (2 papers) and Markov Chains and Monte Carlo Methods (1 paper). The work is most often cited by research in Numerical Analysis (99 citations), Computational Theory and Mathematics (270 citations), Computational Mechanics (338 citations), Geophysics (185 citations) and Computational Mathematics (6 citations). Stéphane Pralet has collaborated with scholars based in France and United Kingdom. Frequent co-authors include Patrick Amestoy, Abdou Guermouche, Jean-Yves L’Excellent, Iain Duff, M. Arioli, Serge Gratton, I. S. Duff, Christof Vömel, Xiaoye Sherry Li and Patrick Amestoy. Their work appears in journals such as Parallel Computing, SIAM Journal on Matrix Analysis and Applications 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.