Ronan Fablet

6.0k total citations · 1 hit paper
171 papers, 3.1k citations indexed

About

Ronan Fablet is a scholar working on Oceanography, Global and Planetary Change and Atmospheric Science. According to data from OpenAlex, Ronan Fablet has authored 171 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Oceanography, 66 papers in Global and Planetary Change and 41 papers in Atmospheric Science. Recurrent topics in Ronan Fablet's work include Oceanographic and Atmospheric Processes (53 papers), Marine and fisheries research (39 papers) and Meteorological Phenomena and Simulations (35 papers). Ronan Fablet is often cited by papers focused on Oceanographic and Atmospheric Processes (53 papers), Marine and fisheries research (39 papers) and Meteorological Phenomena and Simulations (35 papers). Ronan Fablet collaborates with scholars based in France, Spain and United States. Ronan Fablet's co-authors include Aurélien Ducournau, François Rousseau, Hélène de Pontual, Redouane Lguensat, Chi-Hieu Pham, Patrick Bouthémy, Pierre Tandeo, Bertrand Chapron, Sophie Bertrand and Guillaume Hajduch and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Ronan Fablet

160 papers receiving 3.0k citations

Hit Papers

align trajectories

What are hit papers?

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.

Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems: A Review

2023 127 citations Said Ouala, Pierre Tandeo et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ronan Fablet France	32	1.1k	784	629	589	477	171	3.1k
Jules S. Jaffe United States	28	536 0.5×	1.1k 1.4×	984 1.6×	704 1.2×	83 0.2×	140	3.6k
Prabhat United States	24	1.8k 1.7×	375 0.5×	383 0.6×	406 0.7×	1.4k 3.0×	81	5.0k
Hong Zhang China	40	1.3k 1.2×	552 0.7×	1.2k 1.9×	733 1.2×	1.9k 4.0×	474	8.0k
Fabio Del Frate Italy	33	799 0.8×	353 0.5×	233 0.4×	923 1.6×	1.1k 2.3×	218	3.5k
Arnt-Børre Salberg Norway	17	309 0.3×	182 0.2×	461 0.7×	317 0.5×	183 0.4×	64	1.6k
Oscar Pizarro Australia	40	602 0.6×	1.2k 1.5×	1.6k 2.5×	1.4k 2.3×	70 0.1×	128	4.5k
Hanumant Singh United States	49	374 0.4×	1.4k 1.8×	1.5k 2.4×	665 1.1×	426 0.9×	162	5.9k
Christian Berger Germany	24	902 0.9×	518 0.7×	84 0.1×	491 0.8×	516 1.1×	64	3.7k
Samuel S. P. Shen United States	30	2.1k 2.0×	534 0.7×	184 0.3×	292 0.5×	1.6k 3.4×	113	5.1k
Roderik Lindenbergh Netherlands	34	523 0.5×	322 0.4×	418 0.7×	605 1.0×	655 1.4×	174	3.7k

Countries citing papers authored by Ronan Fablet

Since Specialization

Citations

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

Fields of papers citing papers by Ronan Fablet

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ronan Fablet

This figure shows the co-authorship network connecting the top 25 collaborators of Ronan Fablet. A scholar is included among the top collaborators of Ronan Fablet 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 Ronan Fablet. Ronan Fablet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

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

Ouala, Said, et al.. (2024). Online calibration of deep learning sub-models for hybrid numerical modeling systems. Communications Physics. 7(1). 1 indexed citations

Pauthenet, Etienne, et al.. (2024). Contrasted Trends in Chlorophyll‐a Satellite Products. Geophysical Research Letters. 51(14). 8 indexed citations

Gula, Jonathan, et al.. (2024). Predicting particle catchment areas of deep-ocean sediment traps using machine learning. Ocean science. 20(5). 1149–1165. 1 indexed citations

Sommer, Julien Le, et al.. (2024). Training Neural Mapping Schemes for Satellite Altimetry With Simulation Data. Journal of Advances in Modeling Earth Systems. 16(7). 4 indexed citations

Sommer, Julien Le, et al.. (2024). Scale-Aware Neural Calibration for Wide Swath Altimetry Observations. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–8.

Tandeo, Pierre, et al.. (2024). Rain Regime Segmentation of Sentinel-1 Observation Learning From NEXRAD Collocations With Convolution Neural Networks. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–14. 4 indexed citations

Ouala, Said, Steven L. Brunton, Bertrand Chapron, et al.. (2023). Bounded nonlinear forecasts of partially observed geophysical systems with physics-constrained deep learning. Physica D Nonlinear Phenomena. 446. 133630–133630. 7 indexed citations

Beauchamp, Maxime, et al.. (2023). 4DVarNet-SSH: end-to-end learning of variational interpolation schemes for nadir and wide-swath satellite altimetry. Geoscientific model development. 16(8). 2119–2147. 23 indexed citations

10.

Cazau, Dorian, et al.. (2023). Learning-Based Temporal Estimation of In-Situ Wind Speed From Underwater Passive Acoustics. IEEE Journal of Oceanic Engineering. 48(4). 1215–1225. 1 indexed citations

11.

Fablet, Ronan, et al.. (2022). Using generative adversarial networks ( GAN ) to simulate central‐place foraging trajectories. Methods in Ecology and Evolution. 13(6). 1275–1287. 6 indexed citations

12.

Ciani, Daniele, et al.. (2021). Effect of Subsurface Mediterranean Water Eddies on Sound Propagation Using ROMS Output and the Bellhop Model. Water. 13(24). 3617–3617. 5 indexed citations

13.

Fablet, Ronan, et al.. (2021). END-TO-END PHYSICS-INFORMED REPRESENTATION LEARNING FOR SATELLITE OCEAN REMOTE SENSING DATA: APPLICATIONS TO SATELLITE ALTIMETRY AND SEA SURFACE CURRENTS. SHILAP Revista de lepidopterología. V-3-2021. 295–302. 14 indexed citations

14.

Fablet, Ronan, Bertrand Chapron, Lucas Drumetz, et al.. (2021). Jointly learning variational data assimilation models and solvers for geophysical dynamics. 3 indexed citations

15.

Hajduch, Guillaume, et al.. (2021). GeoTrackNet—A Maritime Anomaly Detector Using Probabilistic Neural Network Representation of AIS Tracks and A Contrario Detection. IEEE Transactions on Intelligent Transportation Systems. 23(6). 5655–5667. 79 indexed citations

16.

Martinez, Élodie, Thomas Gorguès, Lucas Drumetz, et al.. (2020). Neural Network Approaches to Reconstruct Phytoplankton Time-Series in the Global Ocean. Remote Sensing. 12(24). 4156–4156. 10 indexed citations

17.

Pascual, Ananda, et al.. (2019). Analog Data Assimilation of Along-Track Nadir and Wide-Swath SWOT Altimetry Observations in the Western Mediterranean Sea. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 12(7). 2530–2540. 7 indexed citations

18.

Ouala, Said, Cédric Herzet, & Ronan Fablet. (2018). Sea surface temperature prediction and reconstruction using patch-level\n neural network representations. arXiv (Cornell University). 12 indexed citations

19.

Fablet, Ronan, et al.. (2017). Data-Driven Models for the Spatio-Temporal Interpolation of Satellite-Derived SST Fields. IEEE Transactions on Computational Imaging. 3(4). 647–657. 29 indexed citations

20.

Fablet, Ronan & François Rousseau. (2016). Joint Interpolation of Multisensor Sea Surface Temperature Fields Using Nonlocal and Statistical Priors. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 9(6). 2665–2675. 4 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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