Étienne Mémin

2.7k total citations
72 papers, 1.5k citations indexed

About

Étienne Mémin is a scholar working on Atmospheric Science, Computational Mechanics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Étienne Mémin has authored 72 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Atmospheric Science, 28 papers in Computational Mechanics and 23 papers in Computer Vision and Pattern Recognition. Recurrent topics in Étienne Mémin's work include Meteorological Phenomena and Simulations (28 papers), Fluid Dynamics and Turbulent Flows (26 papers) and Advanced Vision and Imaging (19 papers). Étienne Mémin is often cited by papers focused on Meteorological Phenomena and Simulations (28 papers), Fluid Dynamics and Turbulent Flows (26 papers) and Advanced Vision and Imaging (19 papers). Étienne Mémin collaborates with scholars based in France, Argentina and United Kingdom. Étienne Mémin's co-authors include Dominique Heitz, Christoph Schnörr, Patrick Pérez, Thomas Corpetti, Patrick Héas, Nicolas Papadakis, Anne Cuzol, Guillermo Artana, Jing Yuan and Pierre Dérian and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Fluid Mechanics and Journal of Computational Physics.

In The Last Decade

Étienne Mémin

69 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Étienne Mémin France 22 643 620 339 212 211 72 1.5k
Nicholas Kevlahan Canada 22 1.2k 1.8× 350 0.6× 312 0.9× 385 1.8× 126 0.6× 60 1.7k
Colin J. Cotter United Kingdom 23 884 1.4× 105 0.2× 488 1.4× 90 0.4× 206 1.0× 109 1.7k
Dominique Heitz France 14 830 1.3× 276 0.4× 140 0.4× 357 1.7× 66 0.3× 26 1.1k
François‐Xavier Le Dimet France 20 345 0.5× 130 0.2× 575 1.7× 210 1.0× 435 2.1× 57 1.2k
Ting Lu China 20 372 0.6× 635 1.0× 750 2.2× 82 0.4× 42 0.2× 97 2.2k
Minping Wan China 36 1.9k 2.9× 92 0.1× 333 1.0× 454 2.1× 237 1.1× 150 4.6k
Garry N. Newsam Australia 19 168 0.3× 185 0.3× 116 0.3× 355 1.7× 118 0.6× 50 1.4k
Brian Argrow United States 24 644 1.0× 74 0.1× 355 1.0× 211 1.0× 271 1.3× 124 1.9k
Kai Fukami United States 16 1.3k 2.0× 278 0.4× 202 0.6× 180 0.8× 49 0.2× 35 1.9k
Holger Nobach Germany 18 831 1.3× 197 0.3× 81 0.2× 256 1.2× 193 0.9× 48 1.3k

Countries citing papers authored by Étienne Mémin

Since Specialization
Citations

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

Fields of papers citing papers by Étienne Mémin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Étienne Mémin

This figure shows the co-authorship network connecting the top 25 collaborators of Étienne Mémin. A scholar is included among the top collaborators of Étienne Mémin 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 Étienne Mémin. Étienne Mémin 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.
Thiry, Louis, et al.. (2024). A Unified Formulation of Quasi‐Geostrophic and Shallow Water Equations via Projection. Journal of Advances in Modeling Earth Systems. 16(10). 2 indexed citations
2.
Thiry, Louis, et al.. (2024). MQGeometry-1.0: a multi-layer quasi-geostrophic solver on non-rectangular geometries. Geoscientific model development. 17(4). 1749–1764. 3 indexed citations
3.
Tissot, Gilles, André V. G. Cavalieri, & Étienne Mémin. (2023). Input-output analysis of the stochastic Navier-Stokes equations: Application to turbulent channel flow. Physical Review Fluids. 8(3). 3 indexed citations
4.
Mémin, Étienne, et al.. (2023). Diagnostic of the Lévy area for geophysical flow models in view of defining high order stochastic discrete-time schemes. SPIRE - Sciences Po Institutional REpository. 6(1). 1–21. 1 indexed citations
5.
Crisan, Dan, et al.. (2023). Analytical Properties for a Stochastic Rotating Shallow Water Model Under Location Uncertainty. Journal of Mathematical Fluid Mechanics. 25(2). 9 indexed citations
6.
Deremble, Bruno, et al.. (2023). Stochastic Data‐Driven Parameterization of Unresolved Eddy Effects in a Baroclinic Quasi‐Geostrophic Model. Journal of Advances in Modeling Earth Systems. 15(2). 10 indexed citations
7.
Debussche, Arnaud, et al.. (2023). A Consistent Stochastic Large-Scale Representation of the Navier–Stokes Equations. Journal of Mathematical Fluid Mechanics. 25(1). 3 indexed citations
8.
Chapron, Bertrand, et al.. (2022). Eigenvalues of autocovariance matrix: A practical method to identify the Koopman eigenfrequencies. Physical review. E. 105(3). 34205–34205. 7 indexed citations
9.
Chapron, Bertrand, Dan Crisan, Darryl D. Holm, Étienne Mémin, & Anna Radomska. (2022). Stochastic Transport in Upper Ocean Dynamics. Institutional Archive of Ifremer (French Research Institute for Exploitation of the Sea). 4 indexed citations
10.
Fablet, Ronan, Bertrand Chapron, Lucas Drumetz, et al.. (2021). Jointly learning variational data assimilation models and solvers for geophysical dynamics. 3 indexed citations
11.
Lewandowski, Roger, et al.. (2021). Testing a one-closure equation turbulence model in neutral boundary layers. Computer Methods in Applied Mechanics and Engineering. 376. 113662–113662. 3 indexed citations
12.
Mémin, Étienne, et al.. (2020). 4D large scale variational data assimilation of a turbulent flow with a dynamics error model. Journal of Computational Physics. 412. 109446–109446. 50 indexed citations
13.
Mémin, Étienne, et al.. (2019). Stochastic flow approach to model the mean velocity profile of wall-bounded flows. Physical review. E. 99(6). 63101–63101. 10 indexed citations
14.
Héas, Patrick, Cédric Herzet, Étienne Mémin, Dominique Heitz, & Pablo D. Mininni. (2012). Bayesian Estimation of Turbulent Motion. IEEE Transactions on Pattern Analysis and Machine Intelligence. 35(6). 1343–1356. 15 indexed citations
15.
Mayor, Shane D., Pierre Dérian, Patrick Héas, & Étienne Mémin. (2010). Two-Component Horizontal Motion Vectors from Scanning Eye-Safe Aerosol Lidar. HAL (Le Centre pour la Communication Scientifique Directe). 2 indexed citations
16.
Avenel, Christophe, Étienne Mémin, & Patrick Pérez. (2010). Stochastic Filtering of Level Sets for Curve Tracking. HAL (Le Centre pour la Communication Scientifique Directe). 3553–3556. 1 indexed citations
17.
Héas, Patrick, Étienne Mémin, & Nicolas Papadakis. (2006). Dense Estimation of Layer Motions in the Atmosphere. 1–4. 2 indexed citations
18.
Cuzol, Anne, Pierre Hellier, & Étienne Mémin. (2005). A Novel Parametric Method for Non-rigid Image Registration. Lecture notes in computer science. 19. 456–467. 11 indexed citations
19.
Arnaud, Élise, Étienne Mémin, & Bruno Cernuschi-Frías. (2004). Conditional filters for image sequence-based tracking - application to point tracking. IEEE Transactions on Image Processing. 14(1). 63–79. 28 indexed citations
20.
Hellier, Pierre, et al.. (1999). Estimation robuste 3D d'un champ de déformation pour le recalage non-linéaire inter-sujet d'images cérébrales. HAL (Le Centre pour la Communication Scientifique Directe). 17(2). 99–112. 2 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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