Mathieu Couplet

710 citations
13 papers · 492 indexed · h-index 8

Impact in

Papers in

Mathieu Couplet

13 papers receiving 475 citations

Peers

Mathieu Couplet
Comparison fields: 5 of 55
  • Statistics, Probability and Uncertainty 213
  • Statistical and Nonlinear Physics 245
  • Computational Mechanics 216
  • Aerospace Engineering 119
  • Numerical Analysis 23
Replace Marc Montagnac with:
Marc Montagnac France
Jean‐Christophe Jouhaud France
Mohammad Khalil United States
Arthur C. Taylor United States
Lawrence L. Green United States
Melike Nikbay Türkiye
Vamshi Korivi United States
Andrew Crowell United States
Marcus Meyer Germany
Leo Wai-Tsun Ng United States
Mathieu Couplet relative to Marc Montagnac France Marc Montagnac's profile →
Citations per field
00.5×1.5×2.4×
Marc Montagnac · 1×
Citations per year

Countries citing papers authored by Mathieu Couplet

Since Specialization
Citations

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

Fields of papers citing papers by Mathieu Couplet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 20 scholars most cited alongside Mathieu Couplet, 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 Mathieu Couplet Line = papers co-authored together Mathieu Couplet links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 202025
2 201922
3
SAPIUM a systematic approach for input uncertainty quantification
20184
4 20179
5 20174
6 20154
7 201410
8 20133
9 2013105
10 201332
11
Évaluation d'un risque d'inondation fluviale par planification séquentielle d'expériences
20105
12 2005185
13 200384

About Mathieu Couplet

Mathieu Couplet is a scholar working on Statistics, Probability and Uncertainty, Safety, Risk, Reliability and Quality, Computational Theory and Mathematics, Aerospace Engineering and Management Science and Operations Research, having authored 13 papers that have together received 492 indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (9 papers), Nuclear Engineering Thermal-Hydraulics (4 papers), Advanced Multi-Objective Optimization Algorithms (3 papers), Nuclear reactor physics and engineering (3 papers), Fluid Dynamics and Turbulent Flows (2 papers), Fluid Dynamics and Vibration Analysis (2 papers), Risk and Safety Analysis (2 papers) and Optimal Experimental Design Methods (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (213 citations), Statistical and Nonlinear Physics (245 citations), Computational Mechanics (216 citations), Aerospace Engineering (119 citations) and Numerical Analysis (23 citations). Mathieu Couplet has collaborated with scholars based in France, Germany and Italy. Frequent co-authors include Pierre Sagaut, C. Basdevant, Bertrand Iooss, Nicola Pedroni, Enrico Zio, Elisa Ferrario, Jean Baccou, Nicolás Bousquet, F. Reventós and A. Petruzzi. Their work appears in journals such as Environmetrics, Computers & Structures, Nuclear Science and Engineering, Journal of Fluid Mechanics and Journal of Simulation.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026