Julien Brajard

1.5k total citations · 1 hit paper
50 papers, 767 citations indexed

About

Julien Brajard is a scholar working on Oceanography, Global and Planetary Change and Atmospheric Science. According to data from OpenAlex, Julien Brajard has authored 50 papers receiving a total of 767 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Oceanography, 29 papers in Global and Planetary Change and 26 papers in Atmospheric Science. Recurrent topics in Julien Brajard's work include Marine and coastal ecosystems (23 papers), Oceanographic and Atmospheric Processes (17 papers) and Climate variability and models (13 papers). Julien Brajard is often cited by papers focused on Marine and coastal ecosystems (23 papers), Oceanographic and Atmospheric Processes (17 papers) and Climate variability and models (13 papers). Julien Brajard collaborates with scholars based in France, Norway and Senegal. Julien Brajard's co-authors include Marc Bocquet, Alberto Carrassi, Laurent Bertino, Sylvie Thiria, Anton Korosov, Michel Crépon, François Counillon, Cédric Jamet, C. Moulin and R. Santer and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and Geophysical Research Letters.

In The Last Decade

Julien Brajard

45 papers receiving 750 citations

Hit Papers

Machine Learning With Dat... 2023 2026 2024 2023 40 80 120
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.

  1. Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems: A Review
    2023 127 citations Sibo Cheng, César Quilodrán-Casas et al. IEEE/CAA Journal of Automatica Sinica profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Julien Brajard France 15 378 312 286 102 87 50 767
Pierre Tandeo France 16 457 1.2× 357 1.1× 320 1.1× 123 1.2× 98 1.1× 50 909
Eng Soon Chan Singapore 18 238 0.6× 67 0.2× 445 1.6× 116 1.1× 41 0.5× 57 1.1k
Junmin Meng China 19 408 1.1× 126 0.4× 806 2.8× 90 0.9× 19 0.2× 147 1.4k
Sergey Frolov United States 19 368 1.0× 356 1.1× 459 1.6× 60 0.6× 20 0.2× 44 768
Jeong-Hwan Kim South Korea 6 569 1.5× 602 1.9× 272 1.0× 226 2.2× 27 0.3× 12 959
Chih‐Chieh Young Taiwan 15 223 0.6× 254 0.8× 231 0.8× 259 2.5× 16 0.2× 34 681
Danya Xu China 17 333 0.9× 477 1.5× 564 2.0× 106 1.0× 6 0.1× 54 1.2k
Peter Dueben United Kingdom 17 810 2.1× 669 2.1× 100 0.3× 310 3.0× 73 0.8× 32 1.2k
Nicolas Longépé Italy 18 305 0.8× 144 0.5× 272 1.0× 150 1.5× 5 0.1× 82 1.0k
Zemin Wang China 18 521 1.4× 195 0.6× 178 0.6× 283 2.8× 5 0.1× 110 1.2k

Countries citing papers authored by Julien Brajard

Since Specialization
Citations

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

Fields of papers citing papers by Julien Brajard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julien Brajard

This figure shows the co-authorship network connecting the top 25 collaborators of Julien Brajard. A scholar is included among the top collaborators of Julien Brajard 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 Julien Brajard. Julien Brajard 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.
Brajard, Julien, et al.. (2025). Predicting Atlantic and Benguela Niño events with deep learning. Science Advances. 11(14). eads5185–eads5185. 1 indexed citations
2.
Counillon, François, Julien Brajard, Richard Davy, et al.. (2025). Warming and freshening coastal waters impact harmful algal bloom frequency in high latitudes. Communications Earth & Environment. 6(1).
3.
Palerme, Cyril, Thomas Lavergne, Arne Melsom, et al.. (2024). Improving short-term sea ice concentration forecasts using deep learning. ˜The œcryosphere. 18(4). 2161–2176. 5 indexed citations
4.
Barthélémy, Sébastien, François Counillon, Julien Brajard, & Laurent Bertino. (2024). Hybrid covariance super-resolution data assimilation. Ocean Dynamics. 74(11-12). 949–966.
5.
Barth, Alexander, Julien Brajard, Aïda Alvera Azcarate, et al.. (2024). Ensemble reconstruction of missing satellite data using a denoising diffusion model: application to chlorophyll  a concentration in the Black Sea. Ocean science. 20(6). 1567–1584. 1 indexed citations
6.
Carrassi, Alberto, et al.. (2024). Parameter sensitivity analysis of a sea ice melt pond parametrisation and its emulation using neural networks. Journal of Computational Science. 79. 102231–102231. 4 indexed citations
7.
Bracco, Annalisa, Julien Brajard, Henk A. Dijkstra, et al.. (2024). Machine learning for the physics of climate. Nature Reviews Physics. 7(1). 6–20. 18 indexed citations
8.
Cheng, Sibo, César Quilodrán-Casas, Said Ouala, et al.. (2023). Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems: A Review. IEEE/CAA Journal of Automatica Sinica. 10(6). 1361–1387. 127 indexed citations breakdown →
9.
Counillon, François, et al.. (2023). Forecasting harmful algae blooms: Application to Dinophysis acuminata in northern Norway. Harmful Algae. 126. 102442–102442. 17 indexed citations
10.
Brajard, Julien, et al.. (2022). Surface circulation properties in the eastern Mediterranean emphasized using machine learning methods. Ocean science. 18(5). 1491–1505. 2 indexed citations
11.
12.
Brajard, Julien, Alberto Carrassi, Marc Bocquet, & Laurent Bertino. (2021). Combining data assimilation and machine learning to infer unresolved scale parametrization. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 379(2194). 20200086–20200086. 91 indexed citations
13.
Counillon, François, Julien Brajard, Anton Korosov, et al.. (2021). Twenty-One Years of Phytoplankton Bloom Phenology in the Barents, Norwegian, and North Seas. Frontiers in Marine Science. 8. 34 indexed citations
14.
15.
Bocquet, Marc, Julien Brajard, Alberto Carrassi, & Laurent Bertino. (2019). Data assimilation as a deep learning tool to infer ODE representations of dynamical models. 3 indexed citations
16.
Bocquet, Marc, Julien Brajard, Alberto Carrassi, & Laurent Bertino. (2019). Data assimilation as a learning tool to infer ordinary differential equation representations of dynamical models. Nonlinear processes in geophysics. 26(3). 143–162. 56 indexed citations
17.
18.
Thiria, Sylvie, et al.. (2017). Variational assimilation of land surface temperature within the ORCHIDEE Land Surface Model Version 1.2.6. Geoscientific model development. 10(1). 85–104. 7 indexed citations
19.
Sawadogo, Salam, Awa Niang, Julien Brajard, et al.. (2013). Multivariate Analysis of the Senegalo-Mauritanian Area by Merging Satellite Remote Sensing Ocean Color and SST Observations. HAL (Le Centre pour la Communication Scientifique Directe). 5(12). 756–768. 6 indexed citations
20.
Brajard, Julien, Cédric Jamet, C. Moulin, & Sylvie Thiria. (2006). Use of a neuro-variational inversion for retrieving oceanic and atmospheric constituents from satellite ocean colour sensor: Application to absorbing aerosols. Neural Networks. 19(2). 178–185. 40 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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