Virginie Marécal

4.8k total citations
80 papers, 1.6k citations indexed

About

Virginie Marécal is a scholar working on Atmospheric Science, Global and Planetary Change and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Virginie Marécal has authored 80 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Atmospheric Science, 66 papers in Global and Planetary Change and 9 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Virginie Marécal's work include Atmospheric chemistry and aerosols (54 papers), Atmospheric Ozone and Climate (48 papers) and Atmospheric and Environmental Gas Dynamics (32 papers). Virginie Marécal is often cited by papers focused on Atmospheric chemistry and aerosols (54 papers), Atmospheric Ozone and Climate (48 papers) and Atmospheric and Environmental Gas Dynamics (32 papers). Virginie Marécal collaborates with scholars based in France, United Kingdom and Norway. Virginie Marécal's co-authors include Jean‐François Mahfouf, M. Pirre, Béatrice Josse, Joaquim Arteta, Saulo R. Freitas, K. Longo, Marcelo Félix Alonso, Danièle Hauser, Emmanuel Rivière and Jonathan Guth and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Earth and Planetary Science Letters and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Virginie Marécal

78 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Virginie Marécal France 22 1.3k 1.1k 327 196 82 80 1.6k
C. Textor Germany 13 1.5k 1.1× 1.4k 1.3× 245 0.7× 158 0.8× 46 0.6× 17 1.8k
Christopher M. Kiley United States 13 899 0.7× 662 0.6× 275 0.8× 55 0.3× 41 0.5× 15 1.0k
H. Flentje Germany 24 2.3k 1.7× 1.9k 1.7× 585 1.8× 196 1.0× 91 1.1× 52 2.4k
Jos de Laat Netherlands 23 1.3k 1.0× 1.2k 1.1× 225 0.7× 187 1.0× 43 0.5× 71 1.6k
Olaf Stein Germany 20 1.3k 0.9× 1.1k 1.0× 247 0.8× 145 0.7× 48 0.6× 39 1.5k
J. X. Warner United States 23 2.5k 1.8× 2.2k 2.0× 465 1.4× 188 1.0× 55 0.7× 46 2.7k
Gaïa Pinardi Belgium 20 1.6k 1.2× 1.3k 1.2× 486 1.5× 490 2.5× 63 0.8× 47 1.8k
Nikos Kalivitis Greece 22 1.2k 0.9× 946 0.9× 597 1.8× 141 0.7× 50 0.6× 43 1.3k
V. Stroud United States 17 1.1k 0.8× 734 0.7× 331 1.0× 87 0.4× 67 0.8× 19 1.3k
Camille Yver Kwok France 19 700 0.5× 877 0.8× 91 0.3× 142 0.7× 17 0.2× 40 1.1k

Countries citing papers authored by Virginie Marécal

Since Specialization
Citations

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

Fields of papers citing papers by Virginie Marécal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Virginie Marécal

This figure shows the co-authorship network connecting the top 25 collaborators of Virginie Marécal. A scholar is included among the top collaborators of Virginie Marécal 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 Virginie Marécal. Virginie Marécal 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.
Li, Fang, Xiang Song, Sandy P. Harrison, et al.. (2024). Evaluation of global fire simulations in CMIP6 Earth system models. Geoscientific model development. 17(23). 8751–8771. 6 indexed citations
2.
3.
Huijnen, Vincent, et al.. (2022). Regional evaluation of the performance of the global CAMS chemical modeling system over the United States (IFS cycle 47r1). Geoscientific model development. 15(12). 4657–4687. 7 indexed citations
4.
Guth, Jonathan, et al.. (2021). Modeling study of the impact of SO 2 volcanic passive emissions on the tropospheric sulfur budget. Atmospheric chemistry and physics. 21(14). 11379–11404. 11 indexed citations
5.
6.
Guidard, Vincent, et al.. (2020). Update of Infrared Atmospheric Sounding Interferometer (IASI) channel selection with correlated observation errors for numerical weather prediction (NWP). Atmospheric measurement techniques. 13(5). 2659–2680. 16 indexed citations
7.
8.
Amraoui, L. El, et al.. (2020). Aerosol data assimilation in the MOCAGE chemical transport model during the TRAQA/ChArMEx campaign: lidar observations. Atmospheric measurement techniques. 13(9). 4645–4667. 11 indexed citations
9.
Orbe, Clara, David A. Plummer, Darryn W. Waugh, et al.. (2020). Description and Evaluation of the specified-dynamics experiment in the Chemistry-Climate Model Initiative. Atmospheric chemistry and physics. 20(6). 3809–3840. 18 indexed citations
10.
Marécal, Virginie, et al.. (2020). The impact of biomass burning on upper tropospheric carbon monoxide: a study using MOCAGE global model and IAGOS airborne data. Atmospheric chemistry and physics. 20(15). 9393–9417. 20 indexed citations
11.
Krysztofiak, Gisèle, Valéry Catoire, Jonathan Guth, et al.. (2018). Intercontinental transport of biomass burning pollutants over the Mediterranean Basin during the summer 2014 ChArMEx-GLAM airborne campaign. Atmospheric chemistry and physics. 18(9). 6887–6906. 15 indexed citations
12.
Guth, Jonathan, Virginie Marécal, Béatrice Josse, Joaquim Arteta, & Paul Hamer. (2018). Primary aerosol and secondary inorganic aerosol budget over the Mediterranean Basin during 2012 and 2013. Atmospheric chemistry and physics. 18(7). 4911–4934. 12 indexed citations
13.
14.
Guth, Jonathan, Béatrice Josse, Virginie Marécal, Mathieu Joly, & Paul Hamer. (2016). First implementation of secondary inorganic aerosols in the MOCAGE version R2.15.0 chemistry transport model. Geoscientific model development. 9(1). 137–160. 38 indexed citations
15.
Amraoui, L. El, Andrea Piacentini, Virginie Marécal, et al.. (2016). Aerosol data assimilation in the chemical transport model MOCAGE during the TRAQA/ChArMEx campaign: aerosol optical depth. Atmospheric measurement techniques. 9(11). 5535–5554. 24 indexed citations
16.
Flemming, Johannes, Vincent Huijnen, Joaquim Arteta, et al.. (2015). Tropospheric chemistry in the Integrated Forecasting System of ECMWF. Geoscientific model development. 8(4). 975–1003. 175 indexed citations
17.
Amraoui, L. El, Virginie Marécal, Béatrice Josse, et al.. (2015). Modelling of primary aerosols in the chemical transport model MOCAGE: development and evaluation of aerosol physical parameterizations. Geoscientific model development. 8(2). 381–408. 36 indexed citations
18.
Marécal, Virginie, Béatrice Josse, Paul Hamer, et al.. (2014). Towards a representation of halogen chemistry within volcanic plumes in a chemistry transport model. HAL (Le Centre pour la Communication Scientifique Directe). 4 indexed citations
19.
Longo, K., Saulo R. Freitas, M. Pirre, et al.. (2013). The Chemistry CATT-BRAMS model (CCATT-BRAMS 4.5): a regional atmospheric model system for integrated air quality and weather forecasting and research. Geoscientific model development. 6(5). 1389–1405. 49 indexed citations
20.
Peuch, Vincent‐Henri, Joaquim Arteta, B. Josse, et al.. (2012). How realistic are air quality hindcasts driven by forcings from climate model simulations?. Geoscientific model development. 5(6). 1565–1587. 15 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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