Éric Soccorsi
Impact in
- Mathematical Physics top 5%
- Numerical methods in inverse problems
- Spectral Theory in Mathematical Physics
- Modeling and Simulation top 2%
- Fractional Differential Equations Solutions
Papers in
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- Numerical methods in inverse problems 28
- Spectral Theory in Mathematical Physics 13
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- Advanced Mathematical Modeling in Engineering 18
- Co-authors
- Yavar Kian (18 shared papers)Masahiro Yamamoto (3 shared papers)Peter D. Hislop (5 shared papers)Michel Cristofol (4 shared papers)Lauri Oksanen (1 shared paper)Mourad Choulli (6 shared papers)Mourad Bellassoued (4 shared papers)Zhiyuan Li (1 shared paper)
In The Last Decade
Éric Soccorsi
35 papers receiving 341 citations
Peers
Comparison fields: 5 of 28
- Mathematical Physics 266
- Modeling and Simulation 131
- Numerical Analysis 66
- Computational Theory and Mathematics 157
- Applied Mathematics 92
Countries citing papers authored by Éric Soccorsi
This map shows the geographic impact of Éric Soccorsi'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 Éric Soccorsi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Éric Soccorsi more than expected).
Fields of papers citing papers by Éric Soccorsi
This network shows the impact of papers produced by Éric Soccorsi. 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 Éric Soccorsi. The network helps show where Éric Soccorsi may publish in the future.
Co-authors
The 16 scholars most cited alongside Éric Soccorsi, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 63 | |
| 2 | 2018 | 46 | |
| 3 | 2019 | 21 | |
| 4 | 2015 | 21 | |
| 5 | 2014 | 19 | |
| 6 | 2011 | 16 | |
| 7 | 2012 | 16 | |
| 8 | 2013 | 15 | |
| 9 | 2015 | 14 | |
| 10 | 2021 | 14 | |
| 11 | 2014 | 12 | |
| 12 | 2016 | 12 | |
| 13 | 2008 | 10 | |
| 14 | 2015 | 9 | |
| 15 | 2017 | 9 | |
| 16 | 2018 | 8 | |
| 17 | 2015 | 7 | |
| 18 | 2014 | 6 | |
| 19 | 2023 | 4 | |
| 20 | 2019 | 4 |
About Éric Soccorsi
Éric Soccorsi is a scholar working on Mathematical Physics, Computational Theory and Mathematics, Applied Mathematics, Modeling and Simulation and Mechanics of Materials, having authored 38 papers that have together received 357 indexed citations. Recurring topics across this work include Numerical methods in inverse problems (28 papers), Advanced Mathematical Modeling in Engineering (18 papers), Spectral Theory in Mathematical Physics (13 papers), Fractional Differential Equations Solutions (8 papers), Stability and Controllability of Differential Equations (5 papers), Differential Equations and Numerical Methods (5 papers), Composite Material Mechanics (4 papers) and Nonlinear Differential Equations Analysis (4 papers). The work is most often cited by research in Mathematical Physics (266 citations), Modeling and Simulation (131 citations), Numerical Analysis (66 citations), Computational Theory and Mathematics (157 citations) and Applied Mathematics (92 citations). Éric Soccorsi has collaborated with scholars based in France, Japan and Tunisia. Frequent co-authors include Yavar Kian, Masahiro Yamamoto, Peter D. Hislop, Michel Cristofol, Lauri Oksanen, Mourad Choulli, Mourad Bellassoued, Zhiyuan Li, Nicolas Popoff and Shumin Li. Their work appears in journals such as Inverse Problems, Mathematical Methods in the Applied Sciences, Annales Henri Poincaré, Journal of Mathematical Analysis and Applications and SIAM Journal on Mathematical 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.