Mathieu Ribatet

2.1k total citations · 1 hit paper
26 papers, 1.2k citations indexed

About

Mathieu Ribatet is a scholar working on Global and Planetary Change, Atmospheric Science and Finance. According to data from OpenAlex, Mathieu Ribatet has authored 26 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Global and Planetary Change, 7 papers in Atmospheric Science and 6 papers in Finance. Recurrent topics in Mathieu Ribatet's work include Atmospheric chemistry and aerosols (7 papers), Atmospheric Ozone and Climate (7 papers) and Climate variability and models (7 papers). Mathieu Ribatet is often cited by papers focused on Atmospheric chemistry and aerosols (7 papers), Atmospheric Ozone and Climate (7 papers) and Climate variability and models (7 papers). Mathieu Ribatet collaborates with scholars based in France, Switzerland and Austria. Mathieu Ribatet's 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 and has published in prestigious journals such as Journal of the American Statistical Association, Atmospheric Environment and Biometrika.

In The Last Decade

Mathieu Ribatet

24 papers receiving 1.1k citations

Hit Papers

Statistical Modeling of Spatial Extremes 2012 2026 2016 2021 2012 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Statistical Modeling of Spatial Extremes
    2012 373 citations A. C. Davison, Simone A. Padoan et al. Statistical Science profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mathieu Ribatet France 15 727 335 279 165 160 26 1.2k
Anna K. Panorska United States 17 321 0.4× 189 0.6× 298 1.1× 233 1.4× 70 0.4× 56 979
Simone A. Padoan Italy 10 513 0.7× 166 0.5× 318 1.1× 248 1.5× 170 1.1× 30 962
Raphaël Huser Saudi Arabia 20 782 1.1× 281 0.8× 330 1.2× 212 1.3× 302 1.9× 71 1.5k
Ingrid Hobæk Haff Norway 13 307 0.4× 205 0.6× 195 0.7× 129 0.8× 112 0.7× 26 989
Janet E. Heffernan United Kingdom 11 682 0.9× 267 0.8× 646 2.3× 229 1.4× 134 0.8× 21 1.4k
William Kleiber United States 19 622 0.9× 439 1.3× 37 0.1× 103 0.6× 531 3.3× 57 1.5k
Jonathan Stroud United States 17 150 0.2× 124 0.4× 452 1.6× 90 0.5× 147 0.9× 35 1.1k
K. F. Turkman Portugal 17 407 0.6× 90 0.3× 206 0.7× 126 0.8× 111 0.7× 62 824
N. T. Kottegoda United Kingdom 16 727 1.0× 216 0.6× 130 0.5× 53 0.3× 281 1.8× 34 1.3k
Alberto Luceño Spain 20 360 0.5× 354 1.1× 83 0.3× 341 2.1× 63 0.4× 66 1.6k

Countries citing papers authored by Mathieu Ribatet

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Mathieu Ribatet

This figure shows the co-authorship network connecting the top 25 collaborators of Mathieu Ribatet. A scholar is included among the top collaborators of Mathieu Ribatet based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mathieu Ribatet. Mathieu Ribatet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Coeurjolly, Jean‐François, Thibault Espinasse, Anne‐Laure Fougères, & Mathieu Ribatet. (2024). Spatio-temporal point process intensity estimation using zero-deflated subsampling applied to a lightning strikes dataset in France. Electronic Journal of Statistics. 18(2).
2.
Girard, Sylvain, et al.. (2023). Adaptive probabilistic modelling to support decision-making in the event of accidental atmospheric releases. Atmospheric Environment. 309. 119865–119865. 1 indexed citations
3.
Gannoun, Ali, et al.. (2020). Conditional mean-variance and mean-semivariance models in portfolio optimization. Journal of Statistics and Management Systems. 23(8). 1333–1356. 2 indexed citations
4.
Ribatet, Mathieu. (2020). Modelling Spatial Extremes [R package SpatialExtremes version 2.0-9]. 1 indexed citations
5.
Gooijer, Jan G. De, et al.. (2018). Mean–variance and mean–semivariance portfolio selection: a multivariate nonparametric approach. Financial markets and portfolio management. 32(4). 419–436. 12 indexed citations
6.
Gannoun, Ali, et al.. (2018). A new approach in non-parametric estimation of returns in mean-downside risk portfolio frontier. SPIRE - Sciences Po Institutional REpository. 2(2). 169–169. 2 indexed citations
7.
8.
9.
Davison, A. C., Simone A. Padoan, & Mathieu Ribatet. (2012). Statistical modelling of spatial extremes. 5 indexed citations
10.
Dombry, Clément, et al.. (2012). Conditional simulation of max-stable processes. Biometrika. 100(1). 111–124. 39 indexed citations
11.
Gilleland, Eric, Mathieu Ribatet, & Alec Stephenson. (2012). A software review for extreme value analysis. Extremes. 16(1). 103–119. 56 indexed citations
12.
Davison, A. C., Simone A. Padoan, & Mathieu Ribatet. (2012). Statistical Modeling of Spatial Extremes. Statistical Science. 27(2). 373 indexed citations breakdown →
13.
Marrel, Amandine, Bertrand Iooss, Sébastien da Veiga, & Mathieu Ribatet. (2011). Global sensitivity analysis of stochastic computer models with joint metamodels. Statistics and Computing. 22(3). 833–847. 75 indexed citations
14.
Rieder, Harald E., J. A. Maeder, Thomas Peter, et al.. (2011). Extreme events in total ozone over the Northern mid-latitudes: an analysis based on long-term data sets from five European ground-based stations. Tellus B. 63(5). 860–860. 22 indexed citations
15.
Rieder, Harald E., J. Staehelin, J. A. Maeder, et al.. (2010). Extreme events in total ozone over Arosa – Part 2: Fingerprints of atmospheric dynamics and chemistry and effects on mean values and long-term changes. Atmospheric chemistry and physics. 10(20). 10033–10045. 25 indexed citations
16.
Rieder, Harald E., J. Staehelin, J. A. Maeder, et al.. (2010). Extreme events in total ozone over Arosa – Part 1: Application of extreme value theory. Atmospheric chemistry and physics. 10(20). 10021–10031. 27 indexed citations
17.
Rieder, Harald E., J. Staehelin, Philipp Weihs, et al.. (2010). Relationship between high daily erythemal UV doses, total ozone, surface albedo and cloudiness: An analysis of 30years of data from Switzerland and Austria. Atmospheric Research. 98(1). 9–20. 25 indexed citations
18.
Iooss, Bertrand & Mathieu Ribatet. (2008). Global sensitivity analysis of computer models with functional inputs. Reliability Engineering & System Safety. 94(7). 1194–1204. 43 indexed citations
19.
Iooss, Bertrand, Mathieu Ribatet, & Amandine Marrel. (2007). Global Sensitivity Analysis of Stochastic Computer Models with Generalized Additive Models. arXiv (Cornell University). 3 indexed citations
20.
Ribatet, Mathieu, et al.. (2006). A regional Bayesian POT model for flood frequency analysis. Stochastic Environmental Research and Risk Assessment. 21(4). 327–339. 73 indexed citations

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

Breakdown of academic impact, for papers by Anna K. Panorska Breakdown of academic impact, for papers by Simone A. Padoan Breakdown of academic impact, for papers by Raphaël Huser Breakdown of academic impact, for papers by Ingrid Hobæk Haff Breakdown of academic impact, for papers by Janet E. Heffernan Breakdown of academic impact, for papers by William Kleiber Breakdown of academic impact, for papers by Jonathan Stroud Breakdown of academic impact, for papers by K. F. Turkman Breakdown of academic impact, for papers by N. T. Kottegoda Breakdown of academic impact, for papers by Alberto Luceño
Rankless by CCL
2026