Clément Chevalier
- Global and Planetary Change top 5%
- Climate variability and models 4
- Hydrology and Drought Analysis 3
- Atmospheric Science top 10%
- Meteorological Phenomena and Simulations 3
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- Probabilistic and Robust Engineering Design 4
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- Advanced Multi-Objective Optimization Algorithms 8
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- Optimal Experimental Design Methods 4
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- Gaussian Processes and Bayesian Inference 5
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- Soil Geostatistics and Mapping 3
Clément Chevalier
18 papers receiving 562 citations
Peers
Comparison fields: 5 of 64
- Global and Planetary Change 326
- Atmospheric Science 241
- Statistics, Probability and Uncertainty 90
- Computational Theory and Mathematics 114
- Management Science and Operations Research 58
Countries citing papers authored by Clément Chevalier
This map shows the geographic impact of Clément Chevalier'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 Clément Chevalier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Clément Chevalier more than expected).
Fields of papers citing papers by Clément Chevalier
This network shows the impact of papers produced by Clément Chevalier. 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 Clément Chevalier. The network helps show where Clément Chevalier may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Clément Chevalier, 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 | 2025 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2022 | 0 | |
| 4 | 2022 | 3 | |
| 5 | 2020 | 5 | |
| 6 | 2018 | 26 | |
| 7 | Adaptive Design of Experiments for Conservative Estimation of Excursion Sets | 2017 | 16 |
| 8 | 2017 | 39 | |
| 9 | 2016 | 2 | |
| 10 | 2016 | 153 | |
| 11 | 2015 | 55 | |
| 12 | 2015 | 94 | |
| 13 | Does antecedent precipitation play a role for floods in (small) Swiss catchments | 2014 | 1 |
| 14 | 2014 | 15 | |
| 15 | 2014 | 14 | |
| 16 | 2013 | 75 | |
| 17 | 2013 | 28 | |
| 18 | Fast Computation of the Multi-points Expected Improvement with Applications in Batch Selection | 2012 | 3 |
| 19 | 2012 | 43 |
About Clément Chevalier
Clément Chevalier is a scholar working on Statistics, Probability and Uncertainty, Computational Theory and Mathematics and Management Science and Operations Research, having authored 19 papers that have together received 574 indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (8 papers), Gaussian Processes and Bayesian Inference (5 papers), Optimal Experimental Design Methods (4 papers), Climate variability and models (4 papers), Probabilistic and Robust Engineering Design (4 papers), Soil Geostatistics and Mapping (3 papers), Meteorological Phenomena and Simulations (3 papers) and Hydrology and Drought Analysis (3 papers). The work is most often cited by research in Global and Planetary Change (326 citations), Atmospheric Science (241 citations) and Statistics, Probability and Uncertainty (90 citations). Clément Chevalier has collaborated with scholars based in Switzerland, France and United States. Frequent co-authors include Olivia Martius, Stephan Pfahl, David Ginsbourger, Victor Picheny, Julien Bect, Harald von Waldow, Emmanuel Vázquez, Irina Mahlstein, Rolf Weingartner and Paul Froidevaux. Their work appears in journals such as Technometrics, Geophysical Research Letters and Journal of Cell Science.
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.