Thomas Dubos

1.7k total citations
66 papers, 1.1k citations indexed

About

Thomas Dubos is a scholar working on Atmospheric Science, Computational Mechanics and Global and Planetary Change. According to data from OpenAlex, Thomas Dubos has authored 66 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Atmospheric Science, 28 papers in Computational Mechanics and 25 papers in Global and Planetary Change. Recurrent topics in Thomas Dubos's work include Meteorological Phenomena and Simulations (35 papers), Fluid Dynamics and Turbulent Flows (19 papers) and Climate variability and models (17 papers). Thomas Dubos is often cited by papers focused on Meteorological Phenomena and Simulations (35 papers), Fluid Dynamics and Turbulent Flows (19 papers) and Climate variability and models (17 papers). Thomas Dubos collaborates with scholars based in France, United Kingdom and United States. Thomas Dubos's co-authors include Philippe Drobinski, Christian Barthlott, Nicholas Kevlahan, Yann Meurdesoif, Christophe Pietras, Vladimir Zeitlin, John Thuburn, Armando Babiano, Colin J. Cotter and F. Hourdin and has published in prestigious journals such as Physical Review Letters, Journal of Fluid Mechanics and Journal of Computational Physics.

In The Last Decade

Thomas Dubos

64 papers receiving 1.0k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Thomas Dubos 681 525 259 252 177 66 1.1k
M. S. Dubovikov 581 0.9× 596 1.1× 228 0.9× 776 3.1× 215 1.2× 53 1.4k
Peter R. Bannon 592 0.9× 410 0.8× 107 0.4× 175 0.7× 228 1.3× 65 866
Albert Barcilon 523 0.8× 482 0.9× 190 0.7× 246 1.0× 101 0.6× 57 919
G. P. Klaassen 727 1.1× 226 0.4× 303 1.2× 397 1.6× 489 2.8× 28 1.1k
О. G. Chkhetiani 276 0.4× 283 0.5× 288 1.1× 73 0.3× 179 1.0× 123 683
Olivier Pauluis 1.7k 2.5× 1.6k 3.1× 206 0.8× 491 1.9× 120 0.7× 81 2.2k
Michael L. Waite 649 1.0× 420 0.8× 305 1.2× 374 1.5× 180 1.0× 38 947
Manuel Pulido 702 1.0× 425 0.8× 49 0.2× 171 0.7× 432 2.4× 32 934
Christiane Jablonowski 1.7k 2.5× 1.3k 2.5× 499 1.9× 342 1.4× 97 0.5× 68 2.0k
Balasubramanya Nadiga 438 0.6× 428 0.8× 326 1.3× 397 1.6× 28 0.2× 46 968

Countries citing papers authored by Thomas Dubos

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Dubos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Dubos

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Dubos. A scholar is included among the top collaborators of Thomas Dubos 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 Thomas Dubos. Thomas Dubos 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.
Agosta, Cécile, Camille Risi, Étienne Vignon, et al.. (2025). Antarctic Water Stable Isotopes in the Global Atmospheric Model LMDZ6: From Climatology to Boundary Layer Processes. Journal of Geophysical Research Atmospheres. 130(5). 1 indexed citations
2.
Lemarié, Florian, et al.. (2025). Energetically Consistent Eddy‐Diffusivity Mass‐Flux Convective Schemes: 1. Theory and Models. Journal of Advances in Modeling Earth Systems. 17(1). 1 indexed citations
3.
Dubos, Thomas. (2024). On the thermodynamic invariance of fine‐grain and coarse‐grain fluid models. Quarterly Journal of the Royal Meteorological Society. 150(764). 4567–4579.
4.
Lauritzen, P. H., Nicholas Kevlahan, Thomas Toniazzo, et al.. (2022). Reconciling and Improving Formulations for Thermodynamics and Conservation Principles in Earth System Models (ESMs). Journal of Advances in Modeling Earth Systems. 14(9). 14 indexed citations
5.
Dubos, Thomas, et al.. (2022). Local stability analysis of homogeneous and stratified Kelvin–Helmholtz vortices. Journal of Fluid Mechanics. 943. 4 indexed citations
6.
Stegner, Alexandre, et al.. (2020). Generation and Intensification of Mesoscale Anticyclones by Orographic Wind Jets: The Case of Ierapetra Eddies Forced by the Etesians. Journal of Geophysical Research Oceans. 125(8). 8 indexed citations
7.
Fromang, S., Pascal Tremblin, Thomas Dubos, et al.. (2019). Idealised simulations of the deep atmosphere of hot Jupiters. Astronomy and Astrophysics. 632. A114–A114. 49 indexed citations
8.
Kevlahan, Nicholas & Thomas Dubos. (2019). WAVETRISK-1.0: an adaptive wavelet hydrostatic dynamical core. Geoscientific model development. 12(11). 4901–4921. 7 indexed citations
9.
Lauritzen, P. H., Ramachandran D. Nair, Adam Herrington, et al.. (2018). NCAR Release of CAM‐SE in CESM2.0: A Reformulation of the Spectral Element Dynamical Core in Dry‐Mass Vertical Coordinates With Comprehensive Treatment of Condensates and Energy. Journal of Advances in Modeling Earth Systems. 10(7). 1537–1570. 111 indexed citations
10.
Meurdesoif, Yann, et al.. (2017). Conservative interpolation between general spherical meshes. Geoscientific model development. 10(1). 425–431. 10 indexed citations
11.
Eldred, Christopher, et al.. (2016). High-order mimetic finite elements for the hydrostatic primitive equations on a cubed-sphere grid using Hamiltonian methods. EGUGA. 1 indexed citations
12.
Spiga, Aymeric, Yann Meurdesoif, Ehouarn Millour, et al.. (2015). Waves and eddies simulated by high-resolution Global Climate Modeling of Saturn's troposphere and stratosphere. DPS. 2 indexed citations
13.
Kevlahan, Nicholas, et al.. (2015). Adaptive wavelet simulation of global ocean dynamics using a new Brinkman volume penalization. Geoscientific model development. 8(12). 3891–3909. 14 indexed citations
14.
Kevlahan, Nicholas, et al.. (2015). Adaptive wavelet simulation of global ocean dynamics. 2 indexed citations
16.
Dubos, Thomas, et al.. (2015). DYNAMICO-1.0, an icosahedral hydrostatic dynamical core designed for consistency and versatility. Geoscientific model development. 8(10). 3131–3150. 53 indexed citations
17.
Dubos, Thomas, et al.. (2015). On the inter-comparison of two tracer transport schemes on icosahedral grids. Applied Mathematical Modelling. 39(16). 4828–4847. 2 indexed citations
18.
Thuburn, John, Colin J. Cotter, & Thomas Dubos. (2014). A mimetic, semi-implicit, forward-in-time, finite volume shallow water model: comparison of hexagonal–icosahedral and cubed-sphere grids. Geoscientific model development. 7(3). 909–929. 34 indexed citations
19.
Dubos, Thomas, et al.. (2014). A Semi-Hydrostatic Theory of Gravity-Dominated Compressible Flow. AGU Fall Meeting Abstracts. 2014. 1 indexed citations
20.
Dubos, Thomas, A. Babiano, Jérôme Paret, & P. Tabeling. (2001). Intermittency and coherent structures in the two-dimensional inverse energy cascade: Comparing numerical and laboratory experiments. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 64(3). 36302–36302. 20 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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