Arnaud Münch

1.1k citations
70 papers · 668 · h-index 16

Impact in

Papers in

Arnaud Münch

64 papers receiving 631 citations

Peers

Arnaud Münch
Comparison fields: 5 of 46
  • Mathematical Physics 287
  • Computational Theory and Mathematics 457
  • Control and Systems Engineering 441
  • Numerical Analysis 70
  • Computational Mechanics 150
Replace E. J. P. Georg Schmidt with:
E. J. P. Georg Schmidt Canada
Boumediène Chentouf Kuwait
G. Peichl Austria
Cheng-Zhong Xu France
Jean‐Pierre Raymond France
Françis Conrad France
William J. Hrusa United States
J. Nečas Czechia
Francisco Periago Spain
Dan Tiba Romania
Arnaud Münch relative to E. J. P. Georg Schmidt Canada E. J. P. Georg Schmidt's profile →
Citations per field
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E. J. P. Georg Schmidt · 1×
Citations per year

Countries citing papers authored by Arnaud Münch

Since Specialization
Citations

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

Fields of papers citing papers by Arnaud Münch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Arnaud Münch, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Arnaud Münch Line = papers co-authored together Arnaud Münch links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201046
2 200534
3 200729
4 200628
5 200728
6 201227
7 201424
8 201323
9 201322
10 201419
11 200719
12 201917
13 201417
14 200716
15 201016
16 201015
17 201614
18 201414
19 201514
20 200413

About Arnaud Münch

Arnaud Münch is a scholar working on Computational Theory and Mathematics, Control and Systems Engineering, Mathematical Physics, Computational Mechanics and Mechanics of Materials, having authored 70 papers that have together received 668 indexed citations. Recurring topics across this work include Stability and Controllability of Differential Equations (44 papers), Advanced Mathematical Modeling in Engineering (43 papers), Numerical methods in inverse problems (20 papers), Advanced Numerical Methods in Computational Mathematics (14 papers), Advanced Mathematical Physics Problems (10 papers), Composite Material Mechanics (6 papers), Numerical methods for differential equations (6 papers) and Contact Mechanics and Variational Inequalities (6 papers). The work is most often cited by research in Mathematical Physics (287 citations), Computational Theory and Mathematics (457 citations), Control and Systems Engineering (441 citations), Numerical Analysis (70 citations) and Computational Mechanics (150 citations). Arnaud Münch has collaborated with scholars based in France, Spain and United Kingdom. Frequent co-authors include Enrique Fernández‐Cara, Pablo Pedregal, Francisco Periago, Enrique Zuazua, Y. Ousset, Ademir F. Pazoto, Carlos Castro, Sorin Micu, Françoise Krasucki and Patrick Hild. Their work appears in journals such as ESAIM Control Optimisation and Calculus of Variations, SIAM Journal on Control and Optimization, Comptes Rendus Mathématique, Inverse Problems and Applied Mathematics & Optimization.

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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