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.
Improved general circulation models of the Martian atmosphere from the surface to above 80 km
1999937 citationsF. Forget, F. Hourdin et al.Journal of Geophysical Research Atmospheresprofile →
The LMDZ4 general circulation model: climate performance and sensitivity to parametrized physics with emphasis on tropical convection
2006659 citationsF. Hourdin, Ionela Musat et al.profile →
Tropical Intraseasonal Variability in 14 IPCC AR4 Climate Models. Part I: Convective Signals
This map shows the geographic impact of F. Hourdin'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 F. Hourdin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F. Hourdin more than expected).
This network shows the impact of papers produced by F. Hourdin. 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 F. Hourdin. The network helps show where F. Hourdin may publish in the future.
Co-authorship network of co-authors of F. Hourdin
This figure shows the co-authorship network connecting the top 25 collaborators of F. Hourdin.
A scholar is included among the top collaborators of F. Hourdin 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 F. Hourdin. F. Hourdin is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Balaji, V., Fleur Couvreux, Julie Deshayes, et al.. (2022). Are general circulation models obsolete?. Proceedings of the National Academy of Sciences. 119(47). e2202075119–e2202075119.37 indexed citations
Guichard, Françoise, Laurent Kergoat, É. Mougin, & F. Hourdin. (2012). The annual cycle of temperature in the Sahel and its climatic sensitivity. AGU Fall Meeting Abstracts. 2012.1 indexed citations
12.
Salack, Seyni, et al.. (2012). Multi-scale analyses of dry spells across Niger and Senegal. Science et changements planétaires / Sécheresse. 23(1). 3–13.4 indexed citations
13.
Forget, F., Ehouarn Millour, Francisco González‐Galindo, et al.. (2008). Modeling the Martian Atmosphere with the LMD Global Climate Model. Open Research Online (The Open University). 1447. 9054.3 indexed citations
14.
Lebonnois, S., et al.. (2006). Super-rotation simulated with the new LMD Venus General Circulation Model. 167.2 indexed citations
15.
Lebonnois, S., et al.. (2005). Seasonal variations of Titan's stratospheric composition in the LMD/SA Global Climate Model. DPS.3 indexed citations
Coll, M. Angelats i, F. Forget, F. Hourdin, et al.. (2003). The Mars Thermospheric LMD General Circulation Model: First comparisons with MGS aerobraking data. DPS.2 indexed citations
18.
Forget, F., et al.. (2002). First Results With The Mars Thermospheric Lmd General Circulation Model. EGS General Assembly Conference Abstracts. 4418.2 indexed citations
19.
Forget, F., F. Hourdin, Christophe Hourdin, & Olivier Talagrand. (1999). Simulations of the Martian Seasonal Dust Cycle with a General Circulation Model. 6206.1 indexed citations
20.
Talagrand, Olivier, F. Forget, Richard Fournier, et al.. (1997). A Climate Database for the Martian Atmosphere. DPS.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.