Gérald Dibarboure

4.9k total citations · 3 hit papers
74 papers, 2.3k citations indexed

About

Gérald Dibarboure is a scholar working on Oceanography, Atmospheric Science and Global and Planetary Change. According to data from OpenAlex, Gérald Dibarboure has authored 74 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Oceanography, 20 papers in Atmospheric Science and 15 papers in Global and Planetary Change. Recurrent topics in Gérald Dibarboure's work include Oceanographic and Atmospheric Processes (57 papers), Ocean Waves and Remote Sensing (41 papers) and Geophysics and Gravity Measurements (38 papers). Gérald Dibarboure is often cited by papers focused on Oceanographic and Atmospheric Processes (57 papers), Ocean Waves and Remote Sensing (41 papers) and Geophysics and Gravity Measurements (38 papers). Gérald Dibarboure collaborates with scholars based in France, United States and Italy. Gérald Dibarboure's co-authors include Pierre‐Yves Le Traon, Yannice Faugère, Nicolas Picot, Rosemary Morrow, Maxime Ballarotta, Marie–Isabelle Pujol, Clément Ubelmann, Jean‐François Legeais, Florent Fournier and Guillaume Taburet and has published in prestigious journals such as Nature, Science and Geophysical Research Letters.

In The Last Decade

Gérald Dibarboure

68 papers receiving 2.3k citations

Hit Papers

DUACS DT2018: 25 years of... 2019 2026 2021 2023 2019 2024 2025 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Gérald Dibarboure 2.1k 886 760 145 106 74 2.3k
Yannice Faugère 2.4k 1.1× 1.0k 1.1× 858 1.1× 161 1.1× 126 1.2× 54 2.6k
Marie‐Hélène Rio 2.3k 1.1× 1.2k 1.4× 1.0k 1.3× 75 0.5× 116 1.1× 50 2.6k
S. Guinehut 1.8k 0.8× 1.1k 1.2× 814 1.1× 96 0.7× 80 0.8× 32 2.1k
G. Larnicol 1.6k 0.8× 932 1.1× 723 1.0× 94 0.6× 90 0.8× 24 1.9k
J. Thomas Farrar 2.3k 1.1× 1.3k 1.5× 1.3k 1.7× 67 0.5× 233 2.2× 108 2.8k
Edward D. Zaron 1.8k 0.8× 775 0.9× 831 1.1× 54 0.4× 211 2.0× 64 2.1k
Sandrine Mulet 1.0k 0.5× 509 0.6× 464 0.6× 132 0.9× 58 0.5× 25 1.2k
Florence Birol 1.5k 0.7× 661 0.7× 590 0.8× 86 0.6× 204 1.9× 57 1.8k
Marcello Passaro 1.5k 0.7× 363 0.4× 595 0.8× 151 1.0× 337 3.2× 83 1.8k
C. J. Koblinsky 1.6k 0.8× 917 1.0× 596 0.8× 137 0.9× 193 1.8× 74 2.1k

Countries citing papers authored by Gérald Dibarboure

Since Specialization
Citations

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

Fields of papers citing papers by Gérald Dibarboure

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gérald Dibarboure

This figure shows the co-authorship network connecting the top 25 collaborators of Gérald Dibarboure. A scholar is included among the top collaborators of Gérald Dibarboure 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 Gérald Dibarboure. Gérald Dibarboure 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.
Ballarotta, Maxime, Antoine Delepoulle, Yannice Faugère, et al.. (2025). Integrating wide-swath altimetry data into Level-4 multi-mission maps. Ocean science. 21(1). 63–80. 6 indexed citations
2.
Ubelmann, Clément, J. Thomas Farrar, Bertrand Chapron, et al.. (2025). A data-driven wind-to-current response function and application to ocean surface current estimates. Ocean science. 21(6). 2915–2928.
5.
Morrow, Rosemary, et al.. (2023). Global submesoscale diagnosis using along-track satellite altimetry. Ocean science. 19(2). 363–379. 7 indexed citations
6.
Ballarotta, Maxime, Clément Ubelmann, Pierre Prandi, et al.. (2023). Improved global sea surface height and current maps from remote sensing and in situ observations. Earth system science data. 15(1). 295–315. 17 indexed citations
7.
Schaeffer, Philippe, et al.. (2023). The CNES CLS 2022 Mean Sea Surface: Short Wavelength Improvements from CryoSat-2 and SARAL/AltiKa High-Sampled Altimeter Data. Remote Sensing. 15(11). 2910–2910. 26 indexed citations
8.
Benkiran, Mounir, Pierre‐Yves Le Traon, & Gérald Dibarboure. (2022). Contribution of a constellation of two wide-swath altimetry missions to global ocean analysis and forecasting. Ocean science. 18(3). 609–625. 1 indexed citations
9.
Pegliasco, Cori, Antoine Delepoulle, Evan Mason, et al.. (2022). META3.1exp: a new global mesoscale eddy trajectory atlas derived from altimetry. Earth system science data. 14(3). 1087–1107. 94 indexed citations
10.
Ubelmann, Clément, Loren Carrère, Gérald Dibarboure, et al.. (2022). Simultaneous estimation of ocean mesoscale and coherent internal tide sea surface height signatures from the global altimetry record. Ocean science. 18(2). 469–481. 20 indexed citations
11.
Andersen, Ole, Shengjun Zhang, David T. Sandwell, et al.. (2021). The Unique Role of the Jason Geodetic Missions for high Resolution Gravity Field and Mean Sea Surface Modelling. Remote Sensing. 13(4). 646–646. 20 indexed citations
12.
Ubelmann, Clément, Loren Carrère, Gérald Dibarboure, et al.. (2021). Simultaneous estimation of Ocean mesoscale and coherent internal tide Sea Surface Height signatures from the global Altimetry record. 6 indexed citations
13.
Prandi, Pierre, Jean-Christophe Poisson, Yannice Faugère, Amandine Guillot, & Gérald Dibarboure. (2021). Arctic sea surface height maps from multi-altimeter combination. Earth system science data. 13(12). 5469–5482. 16 indexed citations
14.
Pegliasco, Cori, Antoine Delepoulle, Rosemary Morrow, Yannice Faugère, & Gérald Dibarboure. (2021). META3.1exp : A new Global Mesoscale Eddy Trajectories Atlas derived from altimetry. 6 indexed citations
15.
Benkiran, Mounir, Pierre‐Yves Le Traon, & Gérald Dibarboure. (2021). Contribution of a constellation of two Wide-Swath Altimetry Missions to Global Ocean Analysis and Forecasting. 2 indexed citations
16.
Mulet, Sandrine, Marie‐Hélène Rio, Hélène Etienne, et al.. (2021). The new CNES-CLS18 global mean dynamic topography. Ocean science. 17(3). 789–808. 104 indexed citations
17.
Ballarotta, Maxime, Clément Ubelmann, Marie–Isabelle Pujol, et al.. (2019). On the resolutions of ocean altimetry maps. Ocean science. 15(4). 1091–1109. 165 indexed citations
18.
Dibarboure, Gérald & Marie–Isabelle Pujol. (2019). Improving the quality of Sentinel-3A data with a hybrid mean sea surface model, and implications for Sentinel-3B and SWOT. Advances in Space Research. 68(2). 1116–1139. 11 indexed citations
19.
Taburet, Guillaume, et al.. (2018). The DUACS-DT2018 reprocessed sea level time series in CMEMS. EGU General Assembly Conference Abstracts. 8059. 1 indexed citations
20.
Mercier, F., Nicolas Picot, Juliette Lambin, et al.. (2008). Improved Jason-2 Altimetry Products for Coastal Zones and Continental Waters (PISTACH Project). AGU Fall Meeting Abstracts. 2008. 6 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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