Julia Charrier

450 total citations
10 papers, 255 citations indexed

About

Julia Charrier is a scholar working on Statistics, Probability and Uncertainty, Computational Mechanics and Finance. According to data from OpenAlex, Julia Charrier has authored 10 papers receiving a total of 255 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Statistics, Probability and Uncertainty, 5 papers in Computational Mechanics and 4 papers in Finance. Recurrent topics in Julia Charrier's work include Probabilistic and Robust Engineering Design (6 papers), Fluid Dynamics and Turbulent Flows (4 papers) and Stochastic processes and financial applications (4 papers). Julia Charrier is often cited by papers focused on Probabilistic and Robust Engineering Design (6 papers), Fluid Dynamics and Turbulent Flows (4 papers) and Stochastic processes and financial applications (4 papers). Julia Charrier collaborates with scholars based in France. Julia Charrier's co-authors include Robert Scheichl, Aretha L. Teckentrup, Thierry Gallouët and Arnaud Debussche and has published in prestigious journals such as Mathematics of Computation, SIAM Journal on Numerical Analysis and SIAM/ASA Journal on Uncertainty Quantification.

In The Last Decade

Julia Charrier

9 papers receiving 224 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Julia Charrier France 6 191 98 82 65 48 10 255
Andrea Barth Germany 11 258 1.4× 137 1.4× 142 1.7× 98 1.5× 60 1.3× 27 465
Erik von Schwerin Saudi Arabia 6 124 0.6× 36 0.4× 29 0.4× 36 0.6× 22 0.5× 11 182
L. Villafuerte Spain 13 228 1.2× 18 0.2× 91 1.1× 111 1.7× 47 1.0× 32 511
Giovanni Migliorati Switzerland 7 165 0.9× 55 0.6× 43 0.5× 46 0.7× 20 0.4× 12 224
Fredrik Lindgren Sweden 8 45 0.2× 54 0.6× 86 1.0× 27 0.4× 13 0.3× 12 223
Manas K. Deb Canada 6 277 1.5× 120 1.2× 132 1.6× 15 0.2× 98 2.0× 16 402
Anatoliy Malyarenko Sweden 10 52 0.3× 13 0.1× 26 0.3× 11 0.2× 54 1.1× 46 292
Paul Krée France 11 62 0.3× 27 0.3× 99 1.2× 40 0.6× 13 0.3× 22 487
M. Rostami Iran 8 62 0.3× 18 0.2× 24 0.3× 137 2.1× 4 0.1× 16 369
M. Khodabin Iran 13 86 0.5× 14 0.1× 28 0.3× 212 3.3× 6 0.1× 40 528

Countries citing papers authored by Julia Charrier

Since Specialization
Citations

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

Fields of papers citing papers by Julia Charrier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julia Charrier

This figure shows the co-authorship network connecting the top 25 collaborators of Julia Charrier. A scholar is included among the top collaborators of Julia Charrier 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 Julia Charrier. Julia Charrier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Charrier, Julia, et al.. (2020). Existence and uniqueness result for an hyperbolic scalar conservation law with a stochastic force using a finite volume approximation. Journal of Hyperbolic Differential Equations. 17(2). 213–294. 1 indexed citations
2.
Charrier, Julia, et al.. (2016). Numerical approximation of stochastic conservation laws on bounded domains. ESAIM Mathematical Modelling and Numerical Analysis. 51(1). 225–278. 3 indexed citations
3.
Charrier, Julia, et al.. (2015). Convergence of monotone finite volume schemes for hyperbolic scalar conservation laws with multiplicative noise. Stochastic Partial Differential Equations Analysis and Computations. 4(1). 150–223. 9 indexed citations
4.
Charrier, Julia, et al.. (2015). Convergence of flux-splitting finite volume schemes for hyperbolic scalar conservation laws with a multiplicative stochastic perturbation. Mathematics of Computation. 85(302). 2777–2813. 13 indexed citations
5.
Charrier, Julia. (2015). Numerical Analysis of the Advection-Diffusion of a Solute in Porous Media with Uncertainty. SIAM/ASA Journal on Uncertainty Quantification. 3(1). 650–685. 4 indexed citations
6.
Charrier, Julia & Arnaud Debussche. (2013). Weak truncation error estimates for elliptic PDEs with lognormal coefficients. Stochastic Partial Differential Equations Analysis and Computations. 1(1). 63–93. 14 indexed citations
7.
Charrier, Julia, Robert Scheichl, & Aretha L. Teckentrup. (2013). Finite Element Error Analysis of Elliptic PDEs with Random Coefficients and Its Application to Multilevel Monte Carlo Methods. SIAM Journal on Numerical Analysis. 51(1). 322–352. 105 indexed citations
8.
Charrier, Julia. (2012). Strong and Weak Error Estimates for Elliptic Partial Differential Equations with Random Coefficients. SIAM Journal on Numerical Analysis. 50(1). 216–246. 93 indexed citations
9.
Charrier, Julia. (2011). Numerical analysis of the advection-diffusion of a solute in random media. HAL (Le Centre pour la Communication Scientifique Directe). 30. 2 indexed citations
10.
Charrier, Julia. (2010). Strong and weak error estimates for the solutions of elliptic partial differential equations with random coefficients. HAL (Le Centre pour la Communication Scientifique Directe). 11 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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