Said Ouala

641 total citations · 1 hit paper
13 papers, 226 citations indexed

About

Said Ouala is a scholar working on Atmospheric Science, Statistical and Nonlinear Physics and Global and Planetary Change. According to data from OpenAlex, Said Ouala has authored 13 papers receiving a total of 226 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Atmospheric Science, 7 papers in Statistical and Nonlinear Physics and 5 papers in Global and Planetary Change. Recurrent topics in Said Ouala's work include Meteorological Phenomena and Simulations (10 papers), Model Reduction and Neural Networks (7 papers) and Climate variability and models (5 papers). Said Ouala is often cited by papers focused on Meteorological Phenomena and Simulations (10 papers), Model Reduction and Neural Networks (7 papers) and Climate variability and models (5 papers). Said Ouala collaborates with scholars based in France, Spain and Hong Kong. Said Ouala's co-authors include Ronan Fablet, Cédric Herzet, Tijana Janjić, Alban Farchi, Marc Bocquet, Sibo Cheng, Weiping Ding, Pierre Tandeo, Bertrand Iooss and Didier Lucor and has published in prestigious journals such as Remote Sensing, Physica D Nonlinear Phenomena and IEEE/CAA Journal of Automatica Sinica.

In The Last Decade

Said Ouala

13 papers receiving 222 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 Sibo Cheng, César Quilodrán-Casas et al. IEEE/CAA Journal of Automatica Sinica profile →

Peers

Said Ouala

AS

SNP

GPC

AI

OCEAN

César Quilodrán-Casas United Kingdom

Emmanuel de Bézenac France

Dongyu Feng United States

Arthur Pajot France

Lucas Drumetz France

Dominic Masters United Kingdom

Sicheng He United States

Javier González-Rocha United States

Zhiqiang Gong China

Bin Mu China

César Quilodrán-Casas United Kingdom

Said Ouala

57 ×0.6

AS

47 ×0.7

SNP

49 ×0.9

GPC

48 ×1.1

AI

9 ×0.3

OCEAN

Citations per year, relative to Said Ouala Said Ouala (= 1×) peers César Quilodrán-Casas

Countries citing papers authored by Said Ouala

Since Specialization

Citations

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

Fields of papers citing papers by Said Ouala

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Said Ouala

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

All Works

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13 of 13 papers shown

1.

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

2.

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

3.

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 →

4.

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

5.

Cheng, Sibo, Said Ouala, Alban Farchi, et al.. (2023). Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review. arXiv (Cornell University). 8 indexed citations

6.

Ouala, Said, Ronan Fablet, Lucas Drumetz, et al.. (2021). End-to-End Kalman Filter for the Reconstruction of Sea Surface Dynamics from Satellite Data. 4. 7414–7417. 1 indexed citations

7.

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

8.

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

9.

Ouala, Said, Ananda Pascual, & Ronan Fablet. (2019). Residual Integration Neural Network. HAL (Le Centre pour la Communication Scientifique Directe). 3622–3626. 3 indexed citations

10.

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

11.

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

12.

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

13.

Fablet, Ronan, Said Ouala, & Cédric Herzet. (2018). Bilinear Residual Neural Network for the Identification and Forecasting of Geophysical Dynamics. arXiv (Cornell University). 1477–1481. 32 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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