Sylvain Maire
Impact in
- Computational Mathematics top 10%
- Numerical Analysis top 10%
- Mathematical Approximation and Integration
Papers in
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- Mathematical Approximation and Integration 13
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- Advanced Mathematical Modeling in Engineering 5
- Co-authors
- Antoine Lejay (4 shared papers)Ivan Dimov (3 shared papers)Denis Talay (2 shared papers)Emmanuel Gobet (3 shared papers)Étienne Tanré (2 shared papers)Jean Michel Sellier (1 shared paper)Mireille Bossy (1 shared paper)Nicolas Champagnat (1 shared paper)
In The Last Decade
Sylvain Maire
28 papers receiving 231 citations
Peers
Comparison fields: 5 of 62
- Computational Mathematics 14
- Numerical Analysis 67
- Finance 56
- Statistics, Probability and Uncertainty 34
- Computational Theory and Mathematics 74
Countries citing papers authored by Sylvain Maire
This map shows the geographic impact of Sylvain Maire'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 Sylvain Maire with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sylvain Maire more than expected).
Fields of papers citing papers by Sylvain Maire
This network shows the impact of papers produced by Sylvain Maire. 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 Sylvain Maire. The network helps show where Sylvain Maire may publish in the future.
Co-authors
The 14 scholars most cited alongside Sylvain Maire, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 30 | |
| 2 | 2015 | 26 | |
| 3 | 2013 | 18 | |
| 4 | 2005 | 16 | |
| 5 | 2003 | 16 | |
| 6 | 2012 | 15 | |
| 7 | 2006 | 13 | |
| 8 | 2015 | 12 | |
| 9 | 2006 | 11 | |
| 10 | 2021 | 10 | |
| 11 | 2010 | 9 | |
| 12 | 2003 | 7 | |
| 13 | 2005 | 7 | |
| 14 | 2015 | 7 | |
| 15 | 2015 | 6 | |
| 16 | A spectral Monte Carlo method for the Poisson equation | 2004 | 6 |
| 17 | 2017 | 6 | |
| 18 | 2008 | 4 | |
| 19 | 2008 | 4 | |
| 20 | 2004 | 4 |
About Sylvain Maire
Sylvain Maire is a scholar working on Numerical Analysis, Computational Theory and Mathematics, Statistics, Probability and Uncertainty, Statistical and Nonlinear Physics and Finance, having authored 28 papers that have together received 251 indexed citations. Recurring topics across this work include Mathematical Approximation and Integration (13 papers), Probabilistic and Robust Engineering Design (6 papers), Scientific Research and Discoveries (5 papers), Advanced Mathematical Modeling in Engineering (5 papers), Stochastic processes and financial applications (4 papers), Markov Chains and Monte Carlo Methods (4 papers), Mathematical functions and polynomials (3 papers) and Tensor decomposition and applications (3 papers). The work is most often cited by research in Computational Mathematics (14 citations), Numerical Analysis (67 citations), Finance (56 citations), Statistics, Probability and Uncertainty (34 citations) and Computational Theory and Mathematics (74 citations). Sylvain Maire has collaborated with scholars based in France, Bulgaria and Germany. Frequent co-authors include Antoine Lejay, Ivan Dimov, Denis Talay, Emmanuel Gobet, Étienne Tanré, Jean Michel Sellier, Mireille Bossy, Nicolas Champagnat, Caroline Chaux and Samuel Herrmann. Their work appears in journals such as Mathematics and Computers in Simulation, Journal of Computational and Applied Mathematics, Journal of Computational Physics, Applied Numerical Mathematics and SIAM Journal on Numerical Analysis.
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.