Julia Charrier
Impact in
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- Probabilistic and Robust Engineering Design
- Numerical Analysis top 10%
- Mathematical Approximation and Integration
Papers in
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- Probabilistic and Robust Engineering Design 6
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- Fluid Dynamics and Turbulent Flows 4
- Co-authors
- Robert Scheichl (1 shared paper)Aretha L. Teckentrup (1 shared paper)Arnaud Debussche (1 shared paper)Thierry Gallouët (3 shared papers)
- Journals
- Stochastic Partial Differential Equations Analysis and Computations (2 papers)SIAM Journal on Numerical Analysis (2 papers)Journal of Hyperbolic Differential Equations (1 paper)Mathematics of Computation (1 paper)SIAM/ASA Journal on Uncertainty Quantification (1 paper)
- Partner nations
- France
In The Last Decade
Julia Charrier
9 papers receiving 248 citations
Peers
Comparison fields: 5 of 38
- Statistics, Probability and Uncertainty 206
- Numerical Analysis 74
- Computational Mathematics 6
- Computational Theory and Mathematics 87
- Computational Mechanics 101
Countries citing papers authored by Julia Charrier
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
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-authors
The 4 scholars most cited alongside Julia Charrier, 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 | 2013 | 116 | |
| 2 | 2012 | 103 | |
| 3 | 2013 | 16 | |
| 4 | 2015 | 13 | |
| 5 | Strong and weak error estimates for the solutions of elliptic partial differential equations with random coefficients | 2010 | 11 |
| 6 | 2015 | 9 | |
| 7 | 2015 | 4 | |
| 8 | 2016 | 3 | |
| 9 | Numerical analysis of the advection-diffusion of a solute in random media | 2011 | 2 |
| 10 | 2020 | 1 |
About Julia Charrier
Julia Charrier is a scholar working on Statistics, Probability and Uncertainty, Computational Mechanics, Finance, Computational Theory and Mathematics and Applied Mathematics, having authored 10 papers that have together received 278 indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (6 papers), Stochastic processes and financial applications (4 papers), Advanced Mathematical Modeling in Engineering (4 papers), Fluid Dynamics and Turbulent Flows (4 papers), Navier-Stokes equation solutions (3 papers), Groundwater flow and contamination studies (3 papers), Numerical methods in inverse problems (2 papers) and Mathematical Approximation and Integration (1 paper). The work is most often cited by research in Statistics, Probability and Uncertainty (206 citations), Numerical Analysis (74 citations), Computational Mathematics (6 citations), Computational Theory and Mathematics (87 citations) and Computational Mechanics (101 citations). Julia Charrier has collaborated with scholars based in France. Frequent co-authors include Robert Scheichl, Aretha L. Teckentrup, Arnaud Debussche and Thierry Gallouët. Their work appears in journals such as Stochastic Partial Differential Equations Analysis and Computations, SIAM Journal on Numerical Analysis, Journal of Hyperbolic Differential Equations, Mathematics of Computation and SIAM/ASA Journal on Uncertainty Quantification.
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.