Lucile Gaultier

769 total citations
21 papers, 296 citations indexed

About

Lucile Gaultier is a scholar working on Oceanography, Atmospheric Science and Global and Planetary Change. According to data from OpenAlex, Lucile Gaultier has authored 21 papers receiving a total of 296 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Oceanography, 10 papers in Atmospheric Science and 8 papers in Global and Planetary Change. Recurrent topics in Lucile Gaultier's work include Oceanographic and Atmospheric Processes (14 papers), Meteorological Phenomena and Simulations (8 papers) and Climate variability and models (8 papers). Lucile Gaultier is often cited by papers focused on Oceanographic and Atmospheric Processes (14 papers), Meteorological Phenomena and Simulations (8 papers) and Climate variability and models (8 papers). Lucile Gaultier collaborates with scholars based in France, Spain and United States. Lucile Gaultier's co-authors include Clément Ubelmann, Lee‐Lueng Fu, Cheinway Hwang, Ole Andersen, Emmy T. Y. Chang, Pierre Brasseur, Jacques Verron, Bertrand Chapron, Ananda Pascual and Ronan Fablet and has published in prestigious journals such as Remote Sensing of Environment, Remote Sensing and Physica D Nonlinear Phenomena.

In The Last Decade

Lucile Gaultier

19 papers receiving 290 citations

Peers

Lucile Gaultier

OCEAN

GPC

Wenjin Sun China

Antoine Grouazel France

Bernard D. Zetler United States

A.K. Liu United States

Carter Ohlmann United States

C. Boone France

Santha Akella United States

P. Abbot United States

L. Zavala Sansón Mexico

Sergei I. Badulin Russia

Wenjin Sun China

Lucile Gaultier

400 ×1.6

OCEAN

206 ×2.1

GPC

215 ×2.2

11 ×0.5

18 ×0.9

Citations per year, relative to Lucile Gaultier Lucile Gaultier (= 1×) peers Wenjin Sun

Countries citing papers authored by Lucile Gaultier

Since Specialization

Citations

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

Fields of papers citing papers by Lucile Gaultier

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lucile Gaultier

This figure shows the co-authorship network connecting the top 25 collaborators of Lucile Gaultier. A scholar is included among the top collaborators of Lucile Gaultier 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 Lucile Gaultier. Lucile Gaultier 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

Pujol, Marie‐Isabelle, et al.. (2025). Noise Reduction for the Future ODYSEA Mission: A UNet Approach to Enhance Ocean Current Measurements. Remote Sensing. 17(21). 3612–3612.

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

Waters, Jennifer, Matthew Martin, M. J. Bell, et al.. (2024). Assessing the potential impact of assimilating total surface current velocities in the Met Office’s global ocean forecasting system. Frontiers in Marine Science. 11. 3 indexed citations

King, Robert R., Matthew Martin, Lucile Gaultier, et al.. (2024). Assessing the impact of future altimeter constellations in the Met Office global ocean forecasting system. Ocean science. 20(6). 1657–1676. 2 indexed citations

Waters, Jennifer, Matthew Martin, Isabelle Mirouze, et al.. (2024). The impact of simulated total surface current velocity observations on operational ocean forecasting and requirements for future satellite missions. Frontiers in Marine Science. 11. 2 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

Ouala, Said, Bertrand Chapron, Fabrice Collard, Lucile Gaultier, & Ronan Fablet. (2023). Extending the extended dynamic mode decomposition with latent observables: the latent EDMD framework. Machine Learning Science and Technology. 4(2). 25018–25018. 2 indexed citations

Gaultier, Lucile, Maxime Ballarotta, Sammy Metref, et al.. (2023). Regional mapping of energetic short mesoscale ocean dynamics from altimetry: performances from real observations. Ocean science. 19(5). 1517–1527. 5 indexed citations

Hwang, Cheinway, et al.. (2021). Gravity recovery from SWOT altimetry using geoid height and geoid gradient. Remote Sensing of Environment. 265. 112650–112650. 44 indexed citations

10.

Johannessen, Johnny A., et al.. (2021). Tools for Optimizing Performance of VOYages at Sea. TransNav the International Journal on Marine Navigation and Safety of Sea Transportation. 15(1). 233–238.

11.

Ubelmann, Clément, Gérald Dibarboure, Lucile Gaultier, et al.. (2021). Reconstructing Ocean Surface Current Combining Altimetry and Future Spaceborne Doppler Data. Journal of Geophysical Research Oceans. 126(3). 30 indexed citations

12.

Ouala, Said, Ronan Fablet, Lucas Drumetz, et al.. (2020). Physically Informed Neural Networks for the Simulation and Data-Assimilation of Geophysical Dynamics. SPIRE - Sciences Po Institutional REpository. 378. 3490–3493. 1 indexed citations

13.

Ouala, Said, Cédric Herzet, Lucas Drumetz, et al.. (2019). Learning Ocean Dynamical Priors from Noisy Data Using Assimilation-Derived Neural Nets. HAL (Le Centre pour la Communication Scientifique Directe). 1. 9451–9454. 2 indexed citations

14.

Ouala, Said, Ronan Fablet, Cédric Herzet, et al.. (2019). Learning Stochastic Representations of Geophysical Dynamics. HAL (Le Centre pour la Communication Scientifique Directe). 3877–3881. 1 indexed citations

15.

Ouala, Said, Ronan Fablet, Cédric Herzet, et al.. (2018). Neural Network Based Kalman Filters for the Spatio-Temporal Interpolation of Satellite-Derived Sea Surface Temperature. Remote Sensing. 10(12). 1864–1864. 29 indexed citations

16.

Fournier, Séverine, Doug Vandemark, Lucile Gaultier, et al.. (2017). Interannual Variation in Offshore Advection of Amazon‐Orinoco Plume Waters: Observations, Forcing Mechanisms, and Impacts. Journal of Geophysical Research Oceans. 122(11). 8966–8982. 31 indexed citations

17.

Husson, Romain, Alexis Mouche, Bertrand Chapron, et al.. (2016). Taking advantage of Sentinel-1 acquisition modes to improve ocean sea state retrieval. 13. 3886–3889. 1 indexed citations

18.

Gaultier, Lucile, Clément Ubelmann, & Lee‐Lueng Fu. (2015). The Challenge of Using Future SWOT Data for Oceanic Field Reconstruction. Journal of Atmospheric and Oceanic Technology. 33(1). 119–126. 103 indexed citations

19.

Gaultier, Lucile, Bughsin Djath, Jacques Verron, et al.. (2014). Inversion of submesoscale patterns from a high‐resolution Solomon Sea model: Feasibility assessment. Journal of Geophysical Research Oceans. 119(7). 4520–4541. 13 indexed citations

20.

Gaultier, Lucile, et al.. (2012). On the inversion of submesoscale tracer fields to estimate the surface ocean circulation. Journal of Marine Systems. 126. 33–42. 18 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.

Explore authors with similar magnitude of impact