Yelva Roustan

2.1k total citations
52 papers, 1.0k citations indexed

About

Yelva Roustan is a scholar working on Global and Planetary Change, Atmospheric Science and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Yelva Roustan has authored 52 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Global and Planetary Change, 24 papers in Atmospheric Science and 23 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Yelva Roustan's work include Atmospheric chemistry and aerosols (20 papers), Air Quality and Health Impacts (19 papers) and Atmospheric and Environmental Gas Dynamics (12 papers). Yelva Roustan is often cited by papers focused on Atmospheric chemistry and aerosols (20 papers), Air Quality and Health Impacts (19 papers) and Atmospheric and Environmental Gas Dynamics (12 papers). Yelva Roustan collaborates with scholars based in France, United Kingdom and Germany. Yelva Roustan's co-authors include Karine Sartelet, Christian Seigneur, Marc Bocquet, Bruno Sportisse, M. Tombette, Édouard Debry, Denis Quélo, Olivier Saunier, Youngseob Kim and Anne Mathieu and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, The Science of The Total Environment and Environmental Pollution.

In The Last Decade

Yelva Roustan

50 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
Yelva Roustan France 18 632 533 485 276 192 52 1.0k
Badar Ghauri Pakistan 18 650 1.0× 676 1.3× 427 0.9× 316 1.1× 115 0.6× 41 1.2k
Véronique Pont France 23 1.1k 1.7× 575 1.1× 877 1.8× 328 1.2× 114 0.6× 53 1.5k
Pia Anttila Finland 14 455 0.7× 499 0.9× 206 0.4× 156 0.6× 124 0.6× 26 800
Alper Ünal Türkiye 21 678 1.1× 703 1.3× 458 0.9× 286 1.0× 366 1.9× 43 1.2k
Stergios Vratolis Greece 17 939 1.5× 761 1.4× 587 1.2× 295 1.1× 160 0.8× 42 1.3k
Shunsuke Nakao United States 23 1.3k 2.1× 1.2k 2.2× 439 0.9× 349 1.3× 256 1.3× 32 1.6k
Vera Bernardoni Italy 25 1.2k 1.9× 1.3k 2.4× 483 1.0× 414 1.5× 321 1.7× 49 1.7k
Lyle C. Pritchett United States 7 1.3k 2.1× 1.2k 2.3× 492 1.0× 350 1.3× 464 2.4× 8 1.6k
C. F. Rogers United States 18 996 1.6× 918 1.7× 485 1.0× 323 1.2× 511 2.7× 33 1.5k
R. C. Owen United States 22 1.3k 2.1× 615 1.2× 1.0k 2.1× 222 0.8× 138 0.7× 39 1.6k

Countries citing papers authored by Yelva Roustan

Since Specialization
Citations

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

Fields of papers citing papers by Yelva Roustan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yelva Roustan

This figure shows the co-authorship network connecting the top 25 collaborators of Yelva Roustan. A scholar is included among the top collaborators of Yelva Roustan 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 Yelva Roustan. Yelva Roustan 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.
Roustan, Yelva, et al.. (2025). To what extent is the description of streets important in estimating local air quality: a case study over Paris. Atmospheric chemistry and physics. 25(1). 93–117. 2 indexed citations
2.
Bocquet, Marc, et al.. (2024). Bayesian inversion of emissions from large urban fire using in situ observations. Atmospheric Environment. 323. 120391–120391. 5 indexed citations
3.
Bocquet, Marc, et al.. (2024). Bridging classical data assimilation and optimal transport: the 3D-Var case. Nonlinear processes in geophysics. 31(3). 335–357. 1 indexed citations
4.
Gires, Auguste, et al.. (2024). Multifractal analysis of wind turbine power and rainfall from an operational wind farm – Part 1: Wind turbine power and the associated biases. Nonlinear processes in geophysics. 31(4). 587–602. 2 indexed citations
5.
Farchi, Alban, et al.. (2023). Accounting for meteorological biases in simulated plumes using smarter metrics. Atmospheric measurement techniques. 16(6). 1745–1766. 7 indexed citations
6.
Roustan, Yelva, Matthias Ketzel, Steen Solvang Jensen, et al.. (2023). Modelling concentration heterogeneities in streets using the street-network model MUNICH. Geoscientific model development. 16(17). 5281–5303. 3 indexed citations
7.
Bocquet, Marc, et al.. (2023). Bayesian transdimensional inverse reconstruction of the Fukushima Daiichi caesium 137 release. Geoscientific model development. 16(3). 1039–1052. 4 indexed citations
8.
Kim, Youngseob, Yelva Roustan, Myrto Valari, et al.. (2022). MUNICH v2.0: a street-network model coupled with SSH-aerosol (v1.2) for multi-pollutant modelling. Geoscientific model development. 15(19). 7371–7396. 21 indexed citations
9.
10.
Bocquet, Marc, et al.. (2021). Quantification of uncertainties in the assessment of an atmospheric release source applied to the autumn 2017 106 Ru event. Atmospheric chemistry and physics. 21(17). 13247–13267. 15 indexed citations
11.
Poutier, Laurent, et al.. (2019). Aerosol Plume Characterization From Multitemporal Hyperspectral Analysis. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 12(7). 2429–2438. 3 indexed citations
12.
Möller, Tim, Ioulia Tchiguirinskaia, Daniel Schertzer, et al.. (2018). Multifractal structure of storm Eleanor in France and predictions of the extremes. SPIRE - Sciences Po Institutional REpository. 1 indexed citations
13.
Kim, Youngseob, et al.. (2018). Multi-scale modeling of urban air pollution: development and application of a Street-in-Grid model (v1.0) by coupling MUNICH (v1.0) and Polair3D (v1.8.1). Geoscientific model development. 11(2). 611–629. 59 indexed citations
14.
Quérel, Arnaud, Denis Quélo, Yelva Roustan, & Anne Mathieu. (2017). Cloud diagnosis impact on deposition modelling applied to the Fukushima accident. HAL (Le Centre pour la Communication Scientifique Directe). 8845. 1 indexed citations
15.
Kim, Youngseob, et al.. (2016). Multi-scale modeling of urban air pollution: development of a Street-in-Grid model. EGUGA. 1 indexed citations
16.
Ciffroy, Philippe, et al.. (2014). Identification of sensitive parameters in the modeling of SVOC reemission processes from soil to atmosphere. The Science of The Total Environment. 493. 419–431. 6 indexed citations
17.
Bocquet, Marc, et al.. (2013). Estimation of volatile organic compound emissions for Europe using data assimilation. Atmospheric chemistry and physics. 13(12). 5887–5905. 23 indexed citations
18.
Tombette, M., Patrick Chazette, Bruno Sportisse, & Yelva Roustan. (2008). Simulation of aerosol optical properties over Europe with a 3-D size-resolved aerosol model: comparisons with AERONET data. Atmospheric chemistry and physics. 8(23). 7115–7132. 30 indexed citations
19.
Mallet, Vivien, Denis Quélo, Bruno Sportisse, et al.. (2007). Technical Note: The air quality modeling system Polyphemus. Atmospheric chemistry and physics. 7(20). 5479–5487. 122 indexed citations
20.
Roustan, Yelva & Marc Bocquet. (2006). Inverse modelling for mercury over Europe. Atmospheric chemistry and physics. 6(10). 3085–3098. 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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