Arthur Vidard

1.5k total citations
46 papers, 1.0k citations indexed

About

Arthur Vidard is a scholar working on Atmospheric Science, Oceanography and Global and Planetary Change. According to data from OpenAlex, Arthur Vidard has authored 46 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Atmospheric Science, 21 papers in Oceanography and 17 papers in Global and Planetary Change. Recurrent topics in Arthur Vidard's work include Meteorological Phenomena and Simulations (22 papers), Oceanographic and Atmospheric Processes (17 papers) and Climate variability and models (16 papers). Arthur Vidard is often cited by papers focused on Meteorological Phenomena and Simulations (22 papers), Oceanographic and Atmospheric Processes (17 papers) and Climate variability and models (16 papers). Arthur Vidard collaborates with scholars based in France, United Kingdom and United States. Arthur Vidard's co-authors include Magdalena Balmaseda, David L. T. Anderson, Tim Stockdale, Dick Dee, François‐Xavier Le Dimet, Keith Haines, T. N. Palmer, G. C. Moore Smith, Laura Ferranti and Frédéric Vitart and has published in prestigious journals such as Journal of Climate, Journal of Computational Physics and Geophysical Research Letters.

In The Last Decade

Arthur Vidard

40 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arthur Vidard France 16 805 767 646 55 35 46 1.0k
Luke Van Roekel United States 14 461 0.6× 769 1.0× 601 0.9× 24 0.4× 19 0.5× 47 1.0k
Cheng‐Shang Lee Taiwan 22 926 1.2× 361 0.5× 1.0k 1.6× 129 2.3× 15 0.4× 56 1.2k
Huizan Wang China 13 214 0.3× 417 0.5× 223 0.3× 105 1.9× 16 0.5× 73 588
Eric Hackert United States 18 687 0.9× 830 1.1× 532 0.8× 86 1.6× 28 0.8× 36 999
Sylvie Pouliquen France 10 324 0.4× 508 0.7× 232 0.4× 27 0.5× 73 2.1× 27 675
Francesco Barbariol Italy 19 170 0.2× 811 1.1× 535 0.8× 88 1.6× 120 3.4× 54 1.1k
Bipin Kumar India 16 789 1.0× 662 0.9× 546 0.8× 48 0.9× 133 3.8× 44 1.0k
Kejian Wu China 15 175 0.2× 560 0.7× 422 0.7× 31 0.6× 29 0.8× 67 727
Qingnong Xiao United States 25 1.9k 2.4× 612 0.8× 2.5k 3.8× 287 5.2× 21 0.6× 41 2.6k
C. T. Mutlow United Kingdom 14 496 0.6× 296 0.4× 513 0.8× 105 1.9× 18 0.5× 30 756

Countries citing papers authored by Arthur Vidard

Since Specialization
Citations

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

Fields of papers citing papers by Arthur Vidard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arthur Vidard

This figure shows the co-authorship network connecting the top 25 collaborators of Arthur Vidard. A scholar is included among the top collaborators of Arthur Vidard 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 Arthur Vidard. Arthur Vidard 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.
Lauvernet, Claire, et al.. (2025). Impact of input forcings variability on the global sensitivity analysis of a hydrological model. Environmental Modelling & Software. 192. 106522–106522.
2.
Lauvernet, Claire, et al.. (2024). Global sensitivity analysis of the dynamics of a distributed hydrological model at the catchment scale. Socio-Environmental Systems Modeling. 5. 18570–18570. 1 indexed citations
3.
Lauvernet, Claire, et al.. (2023). How is a global sensitivity analysis of a catchment-scale, distributed pesticide transfer model performed? Application to the PESHMELBA model. Geoscientific model development. 16(11). 3137–3163. 6 indexed citations
4.
Lahaye, Noé, Clément Ubelmann, Sammy Metref, et al.. (2021). Joint Estimation of Balanced Motions and Internal Tides From Future Wide‐Swath Altimetry. Journal of Advances in Modeling Earth Systems. 13(12). 15 indexed citations
5.
Ma, Jianwei, et al.. (2021). Assimilation of Images via Dictionary Learning-Based Sparsity Regularization Strategy: An Application for Retrieving Fluid Flows. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–20.
6.
Chabot, Vincent, Maëlle Nodet, & Arthur Vidard. (2020). Multiscale Representation of Observation Error Statistics in Data Assimilation. Sensors. 20(5). 1460–1460. 3 indexed citations
7.
Vidard, Arthur, et al.. (2018). Topological data assimilation using Wasserstein distance. Inverse Problems. 35(1). 15006–15006. 15 indexed citations
8.
Vidard, Arthur, et al.. (2018). Optimal transport for variational data assimilation. Nonlinear processes in geophysics. 25(1). 55–66. 9 indexed citations
9.
Li, Long, François‐Xavier Le Dimet, Jianwei Ma, & Arthur Vidard. (2017). A Level-Set-Based Image Assimilation Method: Potential Applications for Predicting the Movement of Oil Spills. IEEE Transactions on Geoscience and Remote Sensing. 55(11). 6330–6343. 7 indexed citations
10.
Shutyaev, V. P., Igor Gejadze, Arthur Vidard, & François‐Xavier Le Dimet. (2016). Optimal solution error quantification in variational data assimilation involving imperfect models. International Journal for Numerical Methods in Fluids. 83(3). 276–290. 3 indexed citations
11.
Shutyaev, V. P., Arthur Vidard, François-Xavier Le Dimet, & Igor Gejadze. (2016). On model error in variational data assimilation. Russian Journal of Numerical Analysis and Mathematical Modelling. 31(2). 1 indexed citations
12.
Chabot, Vincent, Maëlle Nodet, Nicolas Papadakis, & Arthur Vidard. (2015). Accounting for observation errors in image data assimilation. Tellus A Dynamic Meteorology and Oceanography. 67(1). 23629–23629. 9 indexed citations
13.
Vidard, Arthur, et al.. (2015). NEMOTAM: tangent and adjoint models for the ocean modelling platform NEMO. Geoscientific model development. 8(4). 1245–1257. 17 indexed citations
14.
Debreu, Laurent, Émilie Neveu, Ehouarn Simon, François‐Xavier Le Dimet, & Arthur Vidard. (2014). Multigrid solvers and multigrid preconditioners for the solution of variational data assimilation problems. EGU General Assembly Conference Abstracts. 12666. 1 indexed citations
15.
Bonnel, Patrick, Nicolas Coulombel, Emmanuel Prados, et al.. (2014). A survey on the calibration and validation of integrated land use and transportation models. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
16.
Souopgui, Innocent, François‐Xavier Le Dimet, & Arthur Vidard. (2009). Vector field regularization by generalized diffusion. HAL (Le Centre pour la Communication Scientifique Directe). 20. 2 indexed citations
17.
Balmaseda, Magdalena, David L. T. Anderson, & Arthur Vidard. (2007). Impact of Argo on analyses of the global ocean. Geophysical Research Letters. 34(16). 69 indexed citations
18.
Stockdale, Tim, Magdalena Balmaseda, & Arthur Vidard. (2006). Tropical Atlantic SST Prediction with Coupled Ocean–Atmosphere GCMs. Journal of Climate. 19(23). 6047–6061. 114 indexed citations
19.
Vidard, Arthur, François‐Xavier Le Dimet, & Andrea Piacentini. (2003). Optimal Determination Of Nudging Coefficients. Tellus A Dynamic Meteorology and Oceanography. 55(1). 1 indexed citations
20.
Piacentini, Andrea, et al.. (1999). PALM: A modular data assimilation system. HAL (Le Centre pour la Communication Scientifique Directe). 2. 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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