Mathieu Vrac

11.5k total citations · 3 hit papers
144 papers, 7.4k citations indexed

About

Mathieu Vrac is a scholar working on Global and Planetary Change, Atmospheric Science and Water Science and Technology. According to data from OpenAlex, Mathieu Vrac has authored 144 papers receiving a total of 7.4k indexed citations (citations by other indexed papers that have themselves been cited), including 112 papers in Global and Planetary Change, 101 papers in Atmospheric Science and 12 papers in Water Science and Technology. Recurrent topics in Mathieu Vrac's work include Climate variability and models (102 papers), Meteorological Phenomena and Simulations (70 papers) and Hydrology and Drought Analysis (45 papers). Mathieu Vrac is often cited by papers focused on Climate variability and models (102 papers), Meteorological Phenomena and Simulations (70 papers) and Hydrology and Drought Analysis (45 papers). Mathieu Vrac collaborates with scholars based in France, United Kingdom and Canada. Mathieu Vrac's co-authors include Douglas Maraun, Martin Widmann, Philippe Naveau, Emanuele Bevacqua, Pascal Yiou, Patrick Willems, Paul‐Antoine Michelangeli, Henning W. Rust, Harilaos Loukos and Robert Vautard and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Mathieu Vrac

138 papers receiving 7.2k citations

Hit Papers

Precipitation downscaling under climate change: Recent de... 2010 2026 2015 2020 2010 2019 2023 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mathieu Vrac France 45 5.9k 4.1k 1.5k 596 513 144 7.4k
Douglas Maraun Germany 40 7.2k 1.2× 4.9k 1.2× 1.7k 1.2× 638 1.1× 700 1.4× 90 8.9k
Erika Coppola Italy 44 5.2k 0.9× 4.0k 1.0× 1.2k 0.8× 477 0.8× 518 1.0× 146 6.2k
David M. H. Sexton United Kingdom 36 6.6k 1.1× 4.9k 1.2× 1.0k 0.7× 509 0.9× 648 1.3× 78 8.6k
Harald Kunstmann Germany 49 4.8k 0.8× 3.5k 0.9× 2.4k 1.7× 1.4k 2.4× 674 1.3× 296 7.2k
William J. Gutowski United States 36 6.2k 1.0× 4.9k 1.2× 1.2k 0.8× 594 1.0× 635 1.2× 133 7.9k
Haishan Chen China 41 4.8k 0.8× 3.3k 0.8× 724 0.5× 741 1.2× 418 0.8× 341 6.4k
Luís Gimeno Spain 49 7.3k 1.2× 5.9k 1.4× 837 0.6× 563 0.9× 460 0.9× 329 9.3k
Raquel Nieto Spain 42 5.6k 0.9× 4.3k 1.0× 696 0.5× 286 0.5× 357 0.7× 224 6.7k
Colin Jones United Kingdom 35 5.6k 0.9× 4.7k 1.1× 688 0.5× 367 0.6× 544 1.1× 111 6.9k
Elizabeth Kendon United Kingdom 34 6.4k 1.1× 4.7k 1.1× 1.6k 1.1× 568 1.0× 452 0.9× 78 7.5k

Countries citing papers authored by Mathieu Vrac

Since Specialization
Citations

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

Fields of papers citing papers by Mathieu Vrac

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mathieu Vrac

This figure shows the co-authorship network connecting the top 25 collaborators of Mathieu Vrac. A scholar is included among the top collaborators of Mathieu Vrac 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 Vrac. Mathieu Vrac 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.
Bulut, Burak, Mathieu Vrac, & N. de Noblet‐Ducoudré. (2025). What Will the European Climate Look Like in the Future? A Climate Analog Analysis Accounting for Dependencies Between Variables. Earth s Future. 13(1).
2.
Vrac, Mathieu, Harilaos Loukos, T. Noël, & Dimitri Defrance. (2025). Should We Use Quantile-Mapping-Based Methods in a Climate Change Context? A “Perfect Model” Experiment. Climate. 13(7). 137–137.
3.
Allard, Denis, et al.. (2025). Assessing multivariate bias corrections of climate simulations on various impact models under climate change. Hydrology and earth system sciences. 29(18). 4711–4738. 1 indexed citations
4.
Wood, Raul R., et al.. (2025). Impact of bias adjustment strategy on ensemble projections of hydrological extremes. Hydrology and earth system sciences. 29(20). 5695–5718.
5.
Camargo, Suzana J., Chia‐Ying Lee, Jonathan Lin, et al.. (2025). Improving analogues-based detection & attribution approaches for hurricanes. Environmental Research Letters. 20(2). 24042–24042. 1 indexed citations
6.
Wischik, Damon, et al.. (2024). A temporal stochastic bias correction using a machine learning attention model. SPIRE - Sciences Po Institutional REpository. 3. 1 indexed citations
7.
Vrac, Mathieu, et al.. (2024). Distribution-based pooling for combination and multi-model bias correction of climate simulations. Earth System Dynamics. 15(3). 735–762. 2 indexed citations
8.
Riel‐Salvatore, Julien, et al.. (2024). Evaluating the impact of climate change and millennial variability on the last Neanderthal populations in Europe (Marine Isotope Stage 3). Quaternary Science Reviews. 338. 108812–108812. 6 indexed citations
9.
Vrac, Mathieu, et al.. (2023). Time of emergence of compound events: contribution of univariate and dependence properties. Natural hazards and earth system sciences. 23(1). 21–44. 12 indexed citations
10.
Casado, Mathieu, Vasileios Gkinis, Bo Vinther, et al.. (2022). Sub-millennial climate variability from high-resolution water isotopes in the EPICA Dome C ice core. Climate of the past. 18(10). 2289–2301. 11 indexed citations
11.
Frémont, Paul, Marion Gehlen, Mathieu Vrac, et al.. (2022). Restructuring of plankton genomic biogeography in the surface ocean under climate change. Nature Climate Change. 12(4). 393–401. 28 indexed citations
12.
Bonnet, R. M., Oliviér Boucher, Mathieu Vrac, & Jin Xia. (2022). Sensitivity of bias adjustment methods to low-frequency internal climate variability over the reference period: an ideal model study. Environmental Research Climate. 1(1). 11001–11001.
13.
Faranda, Davide, Mathieu Vrac, Pascal Yiou, et al.. (2021). Enhancing geophysical flow machine learning performance via scale separation. Nonlinear processes in geophysics. 28(3). 423–443. 5 indexed citations
14.
Thao, Soulivanh, et al.. (2021). Adjusting spatial dependence of climate model outputs with cycle-consistent adversarial networks. Climate Dynamics. 57(11-12). 3323–3353. 27 indexed citations
15.
Vrac, Mathieu, et al.. (2020). Multivariate bias corrections of climate simulations: which benefits for which losses?. Earth System Dynamics. 11(2). 537–562. 115 indexed citations
16.
Bartók, Blanka, Isabelle Tobin, Robert Vautard, et al.. (2019). A climate projection dataset tailored for the European energy sector. Climate Services. 16. 100138–100138. 38 indexed citations
17.
Famien, Adjoua Moïse, Serge Janicot, Mathieu Vrac, et al.. (2018). A bias-corrected CMIP5 dataset for Africa using the CDF-t method – a contribution to agricultural impact studies. Earth System Dynamics. 9(1). 313–338. 69 indexed citations
18.
Defrance, Dimitri, Gilles Ramstein, Sylvie Charbit, et al.. (2017). Consequences of rapid ice sheet melting on the Sahelian population vulnerability. Proceedings of the National Academy of Sciences. 114(25). 6533–6538. 50 indexed citations
19.
Vrac, Mathieu, Didier Paillard, & Philippe Naveau. (2007). Non-linear statistical downscaling of present and LGM precipitation and temperatures over Europe. 5 indexed citations
20.
Vrac, Mathieu, A. Chédin, & Edwin Diday. (2004). Décomposition de mélange de distributions et application à des données climatiques. French digital mathematics library (Numdam). 52(1). 67–96. 2 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.

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