Mathieu Ribatet
- Global and Planetary Change top 2%
- Climate variability and models 7
- Hydrology and Drought Analysis 4
- Finance top 2%
- Financial Risk and Volatility Modeling 6
- Statistics and Probability top 2%
- Statistical Methods and Inference 3
- Atmospheric Science top 5%
- Atmospheric chemistry and aerosols 7
- Atmospheric Ozone and Climate 7
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- Probabilistic and Robust Engineering Design 5
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- Advanced Multi-Objective Optimization Algorithms 3
- Co-authors
- Simone A. PadoanA. C. DavisonScott A. SissonBertrand IoossClément DombryAmandine MarrelThomas PeterAlec Stephenson
- Journals
- Atmospheric chemistry and physics (4 papers)Journal of the American Statistical Association (2 papers)Statistical Science (1 paper)
- Partner nations
- FranceSwitzerlandAustria
In The Last Decade
Mathieu Ribatet
24 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 82
- Global and Planetary Change 727
- Finance 279
- Statistics and Probability 165
- Atmospheric Science 335
- Statistics, Probability and Uncertainty 102
Countries citing papers authored by Mathieu Ribatet
This map shows the geographic impact of Mathieu Ribatet'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 Ribatet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathieu Ribatet more than expected).
Fields of papers citing papers by Mathieu Ribatet
This network shows the impact of papers produced by Mathieu Ribatet. 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 Ribatet. The network helps show where Mathieu Ribatet may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mathieu Ribatet, 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 | 2024 | 0 | |
| 2 | 2023 | 1 | |
| 3 | 2020 | 2 | |
| 4 | Modelling Spatial Extremes [R package SpatialExtremes version 2.0-9] | 2020 | 1 |
| 5 | 2018 | 12 | |
| 6 | 2018 | 2 | |
| 7 | 2013 | 45 | |
| 8 | 2013 | 39 | |
| 9 | Statistical modelling of spatial extremes | 2012 | 5 |
| 10 | 2012 | 39 | |
| 11 | 2012 | 56 | |
| 12 | Statistical Modeling of Spatial Extremesbreakdown → | 2012 | 373 |
| 13 | 2011 | 75 | |
| 14 | 2011 | 22 | |
| 15 | 2010 | 25 | |
| 16 | 2010 | 27 | |
| 17 | 2010 | 25 | |
| 18 | 2008 | 43 | |
| 19 | Global Sensitivity Analysis of Stochastic Computer Models with Generalized Additive Models | 2007 | 3 |
| 20 | 2006 | 73 |
About Mathieu Ribatet
Mathieu Ribatet is a scholar working on Statistics, Probability and Uncertainty, Finance, Global and Planetary Change, Management Science and Operations Research and Atmospheric Science, having authored 26 papers that have together received 1.2k indexed citations. Recurring topics across this work include Atmospheric chemistry and aerosols (7 papers), Atmospheric Ozone and Climate (7 papers), Climate variability and models (7 papers), Financial Risk and Volatility Modeling (6 papers), Probabilistic and Robust Engineering Design (5 papers), Hydrology and Drought Analysis (4 papers), Advanced Multi-Objective Optimization Algorithms (3 papers) and Statistical Methods and Inference (3 papers). The work is most often cited by research in Global and Planetary Change (727 citations), Finance (279 citations), Statistics and Probability (165 citations), Atmospheric Science (335 citations) and Statistics, Probability and Uncertainty (102 citations). Mathieu Ribatet has collaborated with scholars based in France, Switzerland and Austria. Frequent co-authors include Simone A. Padoan, A. C. Davison, Scott A. Sisson, Bertrand Iooss, Clément Dombry, Amandine Marrel, Thomas Peter, Alec Stephenson, J. A. Maeder and Eric Gilleland. Their work appears in journals such as Atmospheric chemistry and physics, Journal of the American Statistical Association, Statistical Science, Health Services and Outcomes Research Methodology and Statistics and Computing.
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.