Benjamin Ménétrier

586 total citations
18 papers, 369 citations indexed

About

Benjamin Ménétrier is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Benjamin Ménétrier has authored 18 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Atmospheric Science, 18 papers in Global and Planetary Change and 8 papers in Environmental Engineering. Recurrent topics in Benjamin Ménétrier's work include Meteorological Phenomena and Simulations (18 papers), Climate variability and models (15 papers) and Wind and Air Flow Studies (8 papers). Benjamin Ménétrier is often cited by papers focused on Meteorological Phenomena and Simulations (18 papers), Climate variability and models (15 papers) and Wind and Air Flow Studies (8 papers). Benjamin Ménétrier collaborates with scholars based in France, United States and United Kingdom. Benjamin Ménétrier's co-authors include Thibaut Montmerle, Yann Michel, Loïk Berre, Thomas Auligné, Olivier Nuissier, Laure Raynaud, François Bouttier, Pierre Brousseau, Pauline Martinet and Frédéric Burnet and has published in prestigious journals such as Monthly Weather Review, Quarterly Journal of the Royal Meteorological Society and Geoscientific model development.

In The Last Decade

Benjamin Ménétrier

18 papers receiving 358 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benjamin Ménétrier France 11 349 336 109 48 9 18 369
Jishan Xue China 10 529 1.5× 467 1.4× 37 0.3× 84 1.8× 9 1.0× 17 558
Alain Caya Canada 12 502 1.4× 315 0.9× 65 0.6× 80 1.7× 9 1.0× 24 529
Lisa Bengtsson United States 10 299 0.9× 282 0.8× 35 0.3× 17 0.4× 10 1.1× 20 332
Martin Steinheimer Austria 6 343 1.0× 332 1.0× 39 0.4× 29 0.6× 7 0.8× 8 370
Laura Stewart United Kingdom 8 263 0.8× 241 0.7× 59 0.5× 38 0.8× 3 0.3× 8 303
David Simonin United Kingdom 12 416 1.2× 374 1.1× 84 0.8× 48 1.0× 3 0.3× 17 455
Piers Buchanan United Kingdom 6 268 0.8× 245 0.7× 70 0.6× 18 0.4× 9 1.0× 8 308
Scott R. Dembek United States 10 502 1.4× 475 1.4× 93 0.9× 21 0.4× 4 0.4× 15 516
Davide Panosetti Switzerland 6 279 0.8× 277 0.8× 33 0.3× 25 0.5× 11 1.2× 8 327
M. A. Tolstykh Russia 11 318 0.9× 253 0.8× 44 0.4× 54 1.1× 48 5.3× 52 361

Countries citing papers authored by Benjamin Ménétrier

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Ménétrier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benjamin Ménétrier

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

All Works

18 of 18 papers shown
1.
2.
Liu, Zhiquan, Chris Snyder, Junmei Ban, et al.. (2022). Data assimilation for the Model for Prediction Across Scales – Atmosphere with the Joint Effort for Data assimilation Integration (JEDI-MPAS 1.0.0): EnVar implementation and evaluation. Geoscientific model development. 15(20). 7859–7878. 7 indexed citations
3.
Marquet, Pascal, Pauline Martinet, Jean‐François Mahfouf, Alina Barbu, & Benjamin Ménétrier. (2022). Towards the use of conservative thermodynamic variables in data assimilation: a case study using ground-based microwave radiometer measurements. Atmospheric measurement techniques. 15(7). 2021–2035. 1 indexed citations
4.
Martinet, Pauline, et al.. (2020). Improvement of numerical weather prediction model analysis during fog conditions through the assimilation of ground-based microwave radiometer observations: a 1D-Var study. Atmospheric measurement techniques. 13(12). 6593–6611. 32 indexed citations
5.
Weaver, Anthony, Marcin Chrust, Benjamin Ménétrier, & Andrea Piacentini. (2020). An evaluation of methods for normalizing diffusion‐based covariance operators in variational data assimilation. Quarterly Journal of the Royal Meteorological Society. 147(734). 289–320. 9 indexed citations
6.
Montmerle, Thibaut, et al.. (2020). Estimating optimal localization for sampled background‐error covariances of hydrometeor variables. Quarterly Journal of the Royal Meteorological Society. 147(734). 74–93. 13 indexed citations
7.
Montmerle, Thibaut, et al.. (2018). A 3D ensemble variational data assimilation scheme for the limited‐area AROME model: Formulation and preliminary results. Quarterly Journal of the Royal Meteorological Society. 144(716). 2196–2215. 28 indexed citations
8.
Laloyaux, Patrick, Sergey Frolov, Benjamin Ménétrier, & Massimo Bonavita. (2018). Implicit and explicit cross‐correlations in coupled data assimilation. Quarterly Journal of the Royal Meteorological Society. 144(715). 1851–1863. 17 indexed citations
9.
Michel, Yann, Benjamin Ménétrier, & Thibaut Montmerle. (2016). Objective filtering of the local correlation tensor. Quarterly Journal of the Royal Meteorological Society. 142(699). 2314–2323. 7 indexed citations
10.
Auligné, Thomas, Benjamin Ménétrier, Andrew C. Lorenc, & Mark Buehner. (2016). Ensemble–Variational Integrated Localized Data Assimilation. Monthly Weather Review. 144(10). 3677–3696. 17 indexed citations
11.
Ménétrier, Benjamin & Thomas Auligné. (2015). An Overlooked Issue of Variational Data Assimilation. Monthly Weather Review. 143(10). 3925–3930. 8 indexed citations
12.
Bouttier, François, Laure Raynaud, Olivier Nuissier, & Benjamin Ménétrier. (2015). Sensitivity of the AROME ensemble to initial and surface perturbations during HyMeX. Quarterly Journal of the Royal Meteorological Society. 142(S1). 390–403. 69 indexed citations
13.
Ménétrier, Benjamin & Thomas Auligné. (2015). Optimized Localization and Hybridization to Filter Ensemble-Based Covariances. Monthly Weather Review. 143(10). 3931–3947. 30 indexed citations
14.
Ménétrier, Benjamin, Thibaut Montmerle, Yann Michel, & Loïk Berre. (2015). Linear Filtering of Sample Covariances for Ensemble-Based Data Assimilation. Part I: Optimality Criteria and Application to Variance Filtering and Covariance Localization. Monthly Weather Review. 143(5). 1622–1643. 63 indexed citations
15.
Ménétrier, Benjamin, Thibaut Montmerle, Yann Michel, & Loïk Berre. (2015). Linear Filtering of Sample Covariances for Ensemble-Based Data Assimilation. Part II: Application to a Convective-Scale NWP Model. Monthly Weather Review. 143(5). 1644–1664. 24 indexed citations
16.
Guidard, Vincent, et al.. (2014). Future benefits of high-density radiance data from MTG-IRS in the AROME fine-scale forecast model Final Report. HAL (Le Centre pour la Communication Scientifique Directe). 3 indexed citations
17.
Ménétrier, Benjamin, Thibaut Montmerle, Loïk Berre, & Yann Michel. (2013). Estimation and diagnosis of heterogeneous flow-dependent background-error covariances at the convective scale using either large or small ensembles. Quarterly Journal of the Royal Meteorological Society. 140(683). 2050–2061. 18 indexed citations
18.
Ménétrier, Benjamin & Thibaut Montmerle. (2011). Heterogeneous background‐error covariances for the analysis and forecast of fog events. Quarterly Journal of the Royal Meteorological Society. 137(661). 2004–2013. 22 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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