Sylvain Maire

436 total citations
28 papers, 251 citations indexed

About

Sylvain Maire is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Statistics, Probability and Uncertainty. According to data from OpenAlex, Sylvain Maire has authored 28 papers receiving a total of 251 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Numerical Analysis, 7 papers in Computational Theory and Mathematics and 6 papers in Statistics, Probability and Uncertainty. Recurrent topics in Sylvain Maire's work include Mathematical Approximation and Integration (13 papers), Probabilistic and Robust Engineering Design (6 papers) and Advanced Mathematical Modeling in Engineering (5 papers). Sylvain Maire is often cited by papers focused on Mathematical Approximation and Integration (13 papers), Probabilistic and Robust Engineering Design (6 papers) and Advanced Mathematical Modeling in Engineering (5 papers). Sylvain Maire collaborates with scholars based in France, Bulgaria and Germany. Sylvain Maire's co-authors include Antoine Lejay, Ivan Dimov, Emmanuel Gobet, Denis Talay, Étienne Tanré, Jean Michel Sellier, Nicolas Champagnat, Mireille Bossy, Caroline Chaux and Samuel Herrmann and has published in prestigious journals such as Journal of Computational Physics, Computer Methods in Applied Mechanics and Engineering and SIAM Journal on Numerical Analysis.

In The Last Decade

Sylvain Maire

28 papers receiving 231 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sylvain Maire France 10 74 67 56 36 34 28 251
Nicola Bruti‐Liberati Australia 6 30 0.4× 51 0.8× 198 3.5× 24 0.7× 35 1.0× 10 352
G. A. Mikhaı̆lov Russia 9 38 0.5× 31 0.5× 22 0.4× 53 1.5× 38 1.1× 110 339
Julia Charrier France 6 82 1.1× 65 1.0× 37 0.7× 98 2.7× 191 5.6× 10 255
Dror Givon Israel 7 108 1.5× 35 0.5× 123 2.2× 53 1.5× 29 0.9× 7 382
Nigel J. Newton United Kingdom 9 51 0.7× 42 0.6× 226 4.0× 30 0.8× 38 1.1× 23 496
Gunther Leobacher Austria 12 56 0.8× 211 3.1× 125 2.2× 73 2.0× 64 1.9× 34 406
J. G. Gaines United Kingdom 9 80 1.1× 81 1.2× 258 4.6× 43 1.2× 37 1.1× 11 438
Leonid Koralov United States 8 54 0.7× 16 0.2× 60 1.1× 22 0.6× 17 0.5× 32 352
Alfred Schöttl Germany 7 48 0.6× 13 0.2× 127 2.3× 21 0.6× 54 1.6× 17 365
Antoine Tambue Norway 9 55 0.7× 78 1.2× 78 1.4× 73 2.0× 9 0.3× 32 235

Countries citing papers authored by Sylvain Maire

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Sylvain Maire

This figure shows the co-authorship network connecting the top 25 collaborators of Sylvain Maire. A scholar is included among the top collaborators of Sylvain Maire 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 Sylvain Maire. Sylvain Maire 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.
Dimov, Ivan, et al.. (2021). An unbiased Monte Carlo method to solve linear Volterra equations of the second kind. Neural Computing and Applications. 34(2). 1527–1540. 10 indexed citations
2.
3.
Dimov, Ivan & Sylvain Maire. (2019). A new unbiased stochastic algorithm for solving linear Fredholm equations of the second kind. Advances in Computational Mathematics. 45(3). 1499–1519. 3 indexed citations
4.
5.
Herrmann, Samuel, et al.. (2015). The walk on moving spheres: A new tool for simulating Brownian motion’s exit time from a domain. Mathematics and Computers in Simulation. 135. 28–38. 6 indexed citations
6.
Dimov, Ivan, Sylvain Maire, & Jean Michel Sellier. (2015). A new Walk on Equations Monte Carlo method for solving systems of linear algebraic equations. Applied Mathematical Modelling. 39(15). 4494–4510. 26 indexed citations
7.
Maire, Sylvain, et al.. (2015). Robust adaptive numerical integration of irregular functions with applications to basket and other multi-dimensional exotic options. Applied Numerical Mathematics. 100. 14–30. 3 indexed citations
8.
Maire, Sylvain & Étienne Tanré. (2013). Monte Carlo approximations of the Neumann problem. Monte Carlo Methods and Applications. 19(3). 18 indexed citations
9.
Lejay, Antoine & Sylvain Maire. (2012). New Monte Carlo schemes for simulating diffusions in discontinuous media. Journal of Computational and Applied Mathematics. 245. 97–116. 15 indexed citations
10.
Maire, Sylvain, et al.. (2010). Adaptive integration and approximation over hyper-rectangular regions with applications to basket option pricing. Monte Carlo Methods and Applications. 16(3-4). 3 indexed citations
11.
Bossy, Mireille, Nicolas Champagnat, Sylvain Maire, & Denis Talay. (2010). Probabilistic interpretation and random walk on spheres algorithms for the Poisson-Boltzmann equation in molecular dynamics. ESAIM Mathematical Modelling and Numerical Analysis. 44(5). 997–1048. 30 indexed citations
12.
Lejay, Antoine & Sylvain Maire. (2008). Computing the principal eigenelements of some linear operators using a branching Monte Carlo method. Journal of Computational Physics. 227(23). 9794–9806. 4 indexed citations
13.
Maire, Sylvain & Étienne Tanré. (2008). Some new simulations schemes for the evaluation of Feynman–Kac representations. Monte Carlo Methods and Applications. 14(1). 4 indexed citations
14.
Lejay, Antoine & Sylvain Maire. (2006). Computing the principal eigenvalue of the Laplace operator by a stochastic method. Mathematics and Computers in Simulation. 73(6). 351–363. 13 indexed citations
15.
Gobet, Emmanuel & Sylvain Maire. (2005). Sequential Control Variates for Functionals of Markov Processes. SIAM Journal on Numerical Analysis. 43(3). 1256–1275. 16 indexed citations
16.
Maire, Sylvain, et al.. (2005). Quasi-Monte Carlo quadratures for multivariate smooth functions. Applied Numerical Mathematics. 56(2). 146–162. 7 indexed citations
17.
Gobet, Emmanuel & Sylvain Maire. (2004). A spectral Monte Carlo method for the Poisson equation. HAL (Le Centre pour la Communication Scientifique Directe). 6 indexed citations
18.
Maire, Sylvain. (2004). Polynomial approximations of multivariate smooth functions from quasi-random data. Statistics and Computing. 14(4). 333–336. 4 indexed citations
19.
Maire, Sylvain. (2003). An iterative computation of approximations on Korobov-like spaces. Journal of Computational and Applied Mathematics. 157(2). 261–281. 7 indexed citations
20.
Helluy, Philippe, et al.. (1998). Intégration numérique d'ordre élevé de fonctions régulières ou singulières sur un intervalle. Comptes Rendus de l Académie des Sciences - Series I - Mathematics. 327(9). 843–848. 4 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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