M. Déqué

3.1k total citations · 1 hit paper
24 papers, 1.4k citations indexed

About

M. Déqué is a scholar working on Global and Planetary Change, Atmospheric Science and Oceanography. According to data from OpenAlex, M. Déqué has authored 24 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Global and Planetary Change, 16 papers in Atmospheric Science and 7 papers in Oceanography. Recurrent topics in M. Déqué's work include Climate variability and models (14 papers), Meteorological Phenomena and Simulations (8 papers) and Atmospheric and Environmental Gas Dynamics (7 papers). M. Déqué is often cited by papers focused on Climate variability and models (14 papers), Meteorological Phenomena and Simulations (8 papers) and Atmospheric and Environmental Gas Dynamics (7 papers). M. Déqué collaborates with scholars based in France, United States and Morocco. M. Déqué's co-authors include Samuel Somot, Florence Sevault, David Williamson, D. Cariolle, Alejandro Bodas‐Salcedo, Solange Fermepin, Stephen A. Klein, Brian Medeiros, C. A. Senior and Masahiro Watanabe and has published in prestigious journals such as Science, Journal of Geophysical Research Atmospheres and Journal of Climate.

In The Last Decade

M. Déqué

24 papers receiving 1.4k citations

Hit Papers

Frequency of precipitation and temperature extremes over ... 2007 2026 2013 2019 2007 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Déqué France 14 1.1k 812 358 152 142 24 1.4k
Warren G. Lee Canada 12 1.5k 1.3× 1.0k 1.2× 570 1.6× 174 1.1× 148 1.0× 19 1.9k
Atsushi Obata Japan 9 1.4k 1.3× 1.1k 1.4× 435 1.2× 136 0.9× 159 1.1× 13 1.8k
Camiel Severijns Netherlands 16 1.3k 1.2× 1.1k 1.4× 394 1.1× 104 0.7× 92 0.6× 24 1.6k
Jason L. Bell United States 9 1.3k 1.2× 1.0k 1.3× 257 0.7× 172 1.1× 169 1.2× 13 1.6k
Μiguel Angel Gaertner Spain 24 1.2k 1.1× 1.1k 1.3× 228 0.6× 136 0.9× 126 0.9× 56 1.7k
François Delage Australia 20 1.4k 1.2× 969 1.2× 386 1.1× 125 0.8× 123 0.9× 25 1.6k
Moira E. Doyle Argentina 14 981 0.9× 698 0.9× 170 0.5× 211 1.4× 150 1.1× 26 1.3k
Tatsuo Suzuki Japan 17 1.4k 1.3× 1.2k 1.4× 664 1.9× 158 1.0× 167 1.2× 49 1.9k
Sérgio H. Franchito Brazil 19 774 0.7× 616 0.8× 183 0.5× 138 0.9× 170 1.2× 56 1.1k
Yoshiki Komuro Japan 15 1.3k 1.2× 1.1k 1.4× 423 1.2× 164 1.1× 108 0.8× 26 1.7k

Countries citing papers authored by M. Déqué

Since Specialization
Citations

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

Fields of papers citing papers by M. Déqué

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Déqué

This figure shows the co-authorship network connecting the top 25 collaborators of M. Déqué. A scholar is included among the top collaborators of M. Déqué 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 M. Déqué. M. Déqué 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.
Williams, K. D., Alejandro Bodas‐Salcedo, M. Déqué, et al.. (2012). The Transpose-AMIP II Experiment and Its Application to the Understanding of Southern Ocean Cloud Biases in Climate Models. Journal of Climate. 26(10). 3258–3274. 144 indexed citations
2.
Williams, K. D., Alejandro Bodas‐Salcedo, M. Déqué, et al.. (2012). The Transpose-AMIP II experiment and itsapplication to the understanding of Southern Ocean cloud biases in climate models. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 indexed citations
3.
Skalák, Petr, et al.. (2010). CECILIA regional climate simulations for present climate - validation and inter-comparison. 1 indexed citations
4.
Stockdale, Tim, Oscar Alves, G. J. Boer, et al.. (2010). Understanding and Predicting Seasonal-to-Interannual Climate Variability - The Producer Perspective. Procedia Environmental Sciences. 1. 55–80. 38 indexed citations
5.
Sierra, Jorge, Nadine Brisson, Dominique Ripoche, & M. Déqué. (2010). Modelling the impact of thermal adaptation of soil microorganisms and crop system on the dynamics of organic matter in a tropical soil under a climate change scenario. Ecological Modelling. 221(23). 2850–2858. 22 indexed citations
6.
Goodess, C. M., Daniela Jacob, M. Déqué, et al.. (2009). Downscaling methods, data and tools for input to impacts assessments. UEA Digital Repository (University of East Anglia). 3 indexed citations
7.
8.
Herrmann, Marine, Claude Estournel, M. Déqué, et al.. (2008). Dense water formation in the Gulf of Lions shelf: Impact of atmospheric interannual variability and climate change. Continental Shelf Research. 28(15). 2092–2112. 56 indexed citations
9.
Déqué, M.. (2007). Frequency of precipitation and temperature extremes over France in an anthropogenic scenario: Model results and statistical correction according to observed values. Global and Planetary Change. 57(1-2). 16–26. 528 indexed citations breakdown →
10.
Somot, Samuel, Florence Sevault, & M. Déqué. (2006). Transient climate change scenario simulation of the Mediterranean Sea for the twenty-first century using a high-resolution ocean circulation model. Climate Dynamics. 27(7-8). 851–879. 250 indexed citations
11.
Loustau, Denis, Alexandre Bosc, Jérôme Ogée, et al.. (2005). Modeling climate change effects on the potential production of French plains forests at the sub-regional level. Tree Physiology. 25(7). 813–823. 100 indexed citations
12.
Planton, Serge, et al.. (2002). Detecting Climate Change At A Regional Scale : The Case of France. EGSGA. 2110. 1 indexed citations
15.
D’Andrea, Fabio, Stefano Tibaldi, M. Blackburn, et al.. (1996). Northern Hemisphere atmospheric blocking as simulated by 15 atmospheric general circulation models in the period 1979-1988 (Results from an AMIP diagnostic subproject). CentAUR (University of Reading). 2 indexed citations
16.
Orsolini, Yvan, D. Cariolle, & M. Déqué. (1995). Ridge formation in the lower stratosphere and its influence on ozone transport: A general circulation model study during late January 1992. Journal of Geophysical Research Atmospheres. 100(D6). 11113–11135. 27 indexed citations
17.
Boer, G. J., K. Arpe, M. Blackburn, et al.. (1992). Some results from an intercomparison of the climates simulated by 14 atmospheric general circulation models. Journal of Geophysical Research Atmospheres. 97(D12). 12771–12786. 128 indexed citations
18.
Boer, G. J., K. Arpe, M. Blackburn, et al.. (1991). An intercomparison of the climates simulated by 14 atmospheric general circulation models. CentAUR (University of Reading). 30 indexed citations
19.
Déqué, M., et al.. (1990). Low-Frequency Oscillations in a Rotating Annulus with Topography. Journal of the Atmospheric Sciences. 47(24). 3023–3043. 19 indexed citations
20.
Cariolle, D., M. Déqué, & P. Simon. (1989). Simulation of the Northern Hemisphere Ozone Distribution with a General Circulation Model. 617. 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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