Patrick Armand

819 total citations
41 papers, 435 citations indexed

About

Patrick Armand is a scholar working on Environmental Engineering, Atmospheric Science and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Patrick Armand has authored 41 papers receiving a total of 435 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Environmental Engineering, 17 papers in Atmospheric Science and 16 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Patrick Armand's work include Wind and Air Flow Studies (25 papers), Air Quality and Health Impacts (15 papers) and Meteorological Phenomena and Simulations (11 papers). Patrick Armand is often cited by papers focused on Wind and Air Flow Studies (25 papers), Air Quality and Health Impacts (15 papers) and Meteorological Phenomena and Simulations (11 papers). Patrick Armand collaborates with scholars based in France, Italy and United Kingdom. Patrick Armand's co-authors include Jacques Moussafir, François Septier, G. Tinarelli, Jean‐Luc Wybo, Silvia Trini Castelli, Yves Delignon, Maud Leriche, Nadine Chaumerliac, Laurent Deguillaume and T. Taffary and has published in prestigious journals such as Scientific Reports, Atmospheric Environment and Atmospheric chemistry and physics.

In The Last Decade

Patrick Armand

36 papers receiving 424 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Patrick Armand France 13 231 145 141 137 62 41 435
Jean‐Pierre Issartel France 13 278 1.2× 263 1.8× 250 1.8× 76 0.6× 66 1.1× 16 510
Ivan Коvalets Ukraine 13 198 0.9× 254 1.8× 102 0.7× 73 0.5× 125 2.0× 47 444
W. Klug Germany 8 241 1.0× 197 1.4× 214 1.5× 63 0.5× 24 0.4× 16 391
G. Brusasca Italy 15 414 1.8× 158 1.1× 346 2.5× 282 2.1× 10 0.2× 35 628
Sarvesh Kumar Singh France 15 405 1.8× 146 1.0× 189 1.3× 103 0.8× 5 0.1× 26 511
Pramod Kumar India 15 337 1.5× 159 1.1× 232 1.6× 158 1.2× 5 0.1× 59 598
Thomas C.W. Tung Hong Kong 10 182 0.8× 28 0.2× 40 0.3× 226 1.6× 127 2.0× 20 454
Seshu Dharmavaram United States 8 252 1.1× 30 0.2× 68 0.5× 64 0.5× 18 0.3× 11 365
Rong Yu United States 11 90 0.4× 68 0.5× 42 0.3× 211 1.5× 35 0.6× 27 430
Darrah K. Sleeth United States 11 410 1.8× 67 0.5× 137 1.0× 449 3.3× 19 0.3× 42 598

Countries citing papers authored by Patrick Armand

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Armand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patrick Armand

This figure shows the co-authorship network connecting the top 25 collaborators of Patrick Armand. A scholar is included among the top collaborators of Patrick Armand 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 Patrick Armand. Patrick Armand 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.
Armand, Patrick, et al.. (2025). A 3D discrepancy modeling framework for urban pollution prediction in accelerated time. Environmental Modelling & Software. 194. 106662–106662.
3.
Camredon, M., Karine Sartelet, Patrick Armand, et al.. (2025). Investigating the role of anthropogenic terpenoids in urban secondary pollution under summer conditions by a box modeling approach. Environmental Science Atmospheres. 5(5). 574–590.
4.
Girard, Sylvain, et al.. (2023). Adaptive probabilistic modelling to support decision-making in the event of accidental atmospheric releases. Atmospheric Environment. 309. 119865–119865. 1 indexed citations
6.
Joly, Muriel, Pascal Renard, Camille Mouchel‐Vallon, et al.. (2023). Assessing the efficiency of water-soluble organic compound biodegradation in clouds under various environmental conditions. Environmental Science Atmospheres. 3(4). 731–748. 6 indexed citations
7.
Armand, Patrick, et al.. (2022). 3D modelling and simulation of the dispersion of droplets and drops carrying the SARS-CoV-2 virus in a railway transport coach. Scientific Reports. 12(1). 4025–4025. 17 indexed citations
9.
Armand, Patrick, et al.. (2021). Topical 3D modelling and simulation of air dispersion hazards as a new paradigm to support emergency preparedness and response. Environmental Modelling & Software. 143. 105129–105129. 8 indexed citations
10.
Girard, Sylvain, et al.. (2020). Stochastic perturbations and dimension reduction for modelling uncertainty of atmospheric dispersion simulations. Atmospheric Environment. 224. 117313–117313. 5 indexed citations
11.
Septier, François, et al.. (2020). A bayesian inference procedure based on inverse dispersion modelling for source term estimation in built-up environments. Atmospheric Environment. 242. 117733–117733. 12 indexed citations
12.
Armand, Patrick, et al.. (2020). Simulation of a dense gas chlorine release with a Lagrangian particle dispersion model (LPDM). Atmospheric Environment. 244. 117791–117791. 7 indexed citations
13.
Rose, Clémence, Nadine Chaumerliac, Laurent Deguillaume, et al.. (2018). Modeling the partitioning of organic chemical species in cloud phases with CLEPS (1.1). Atmospheric chemistry and physics. 18(3). 2225–2242. 12 indexed citations
14.
Mouchel‐Vallon, Camille, Laurent Deguillaume, Anne Monod, et al.. (2017). CLEPS 1.0: A new protocol for cloud aqueous phase oxidation of VOC mechanisms. Geoscientific model development. 10(3). 1339–1362. 30 indexed citations
15.
Armand, Patrick, et al.. (2017). Description and preliminary validation of the PMSS fast response parallel atmospheric flow and dispersion solver in complex built-up areas. Environmental Fluid Mechanics. 17(5). 997–1014. 30 indexed citations
16.
Deguillaume, Laurent, Nadine Chaumerliac, Maud Leriche, et al.. (2015). Evaluation of Aerosol Chemical Composition Simulations by the WRF-Chem Model at the Puy de Dôme Station (France). Aerosol and Air Quality Research. 16(3). 909–917. 1 indexed citations
17.
Wybo, Jean‐Luc, et al.. (2013). Chernobyl and Fukushima nuclear accidents: what has changed in the use of atmospheric dispersion modeling?. Journal of Environmental Radioactivity. 126. 239–252. 32 indexed citations
18.
Galeriu, D., et al.. (2011). Sensitivity Analysis of Rain Characteristics on HTO Concentration in Drops. Fusion Science & Technology. 60(4). 1228–1231. 4 indexed citations
19.
Armand, Patrick, et al.. (2011). Presentation of the CERES platform used to evaluate the consequences of the emissions of pollutants in the environment. Radioprotection. 46(6). S653–S659. 5 indexed citations
20.
Stocki, Trevor J., Patrick Armand, P. Heinrich, et al.. (2008). Measurement and modelling of radioxenon plumes in the Ottawa Valley. Journal of Environmental Radioactivity. 99(11). 1775–1788. 26 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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