Thierry Faure

1.2k total citations
18 papers, 781 citations indexed

About

Thierry Faure is a scholar working on Ecology, Global and Planetary Change and Artificial Intelligence. According to data from OpenAlex, Thierry Faure has authored 18 papers receiving a total of 781 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Ecology, 5 papers in Global and Planetary Change and 4 papers in Artificial Intelligence. Recurrent topics in Thierry Faure's work include Atmospheric aerosols and clouds (4 papers), Remote Sensing in Agriculture (3 papers) and Environmental Impact and Sustainability (2 papers). Thierry Faure is often cited by papers focused on Atmospheric aerosols and clouds (4 papers), Remote Sensing in Agriculture (3 papers) and Environmental Impact and Sustainability (2 papers). Thierry Faure collaborates with scholars based in France, United States and Morocco. Thierry Faure's co-authors include Guillaume Deffuant, Gérard Weisbuch, Frédéric Amblard, Nicolas Dumoulin, Philippe Roux, Pyrène Larrey-Lassalle, Jean‐Denis Mathias, Harumi Isaka, B. Guillemet and Franck Jabot and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Environmental Science & Technology and PLoS ONE.

In The Last Decade

Thierry Faure

18 papers receiving 722 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thierry Faure France 13 248 154 123 120 101 18 781
Pablo Kaluza Germany 7 195 0.8× 39 0.3× 55 0.4× 152 1.3× 150 1.5× 15 808
Zengwang Xu United States 10 100 0.4× 359 2.3× 30 0.2× 220 1.8× 76 0.8× 22 940
Hans Rudolf Heinimann Switzerland 21 36 0.1× 139 0.9× 125 1.0× 347 2.9× 90 0.9× 47 1.1k
Maxime Lenormand France 20 186 0.8× 199 1.3× 27 0.2× 402 3.4× 74 0.7× 30 2.0k
Jule Schulze Germany 10 42 0.2× 180 1.2× 50 0.4× 437 3.6× 91 0.9× 13 1.1k
Guofeng Cao United States 22 146 0.6× 323 2.1× 340 2.8× 536 4.5× 128 1.3× 57 1.8k
A. Tsoularis United Kingdom 5 60 0.2× 53 0.3× 45 0.4× 103 0.9× 69 0.7× 16 796
Christopher W. Pawlowski United States 12 50 0.2× 44 0.3× 229 1.9× 257 2.1× 49 0.5× 24 624
Christa Brelsford United States 13 49 0.2× 133 0.9× 108 0.9× 284 2.4× 27 0.3× 29 778
Eric Shook United States 13 85 0.3× 147 1.0× 19 0.2× 103 0.9× 37 0.4× 29 781

Countries citing papers authored by Thierry Faure

Since Specialization
Citations

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

Fields of papers citing papers by Thierry Faure

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thierry Faure

This figure shows the co-authorship network connecting the top 25 collaborators of Thierry Faure. A scholar is included among the top collaborators of Thierry Faure 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 Thierry Faure. Thierry Faure 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.
Wei, Wei, Pyrène Larrey-Lassalle, Thierry Faure, et al.. (2016). Using the Reliability Theory for Assessing the Decision Confidence Probability for Comparative Life Cycle Assessments. Environmental Science & Technology. 50(5). 2272–2280. 22 indexed citations
2.
Lassalle, Géraldine, Hilaire Drouineau, Nicolas Dumoulin, et al.. (2015). The Combined Use of Correlative and Mechanistic Species Distribution Models Benefits Low Conservation Status Species. PLoS ONE. 10(10). e0139194–e0139194. 24 indexed citations
3.
Jabot, Franck, Thierry Faure, Nicolas Dumoulin, & Carlo Albert. (2015). EasyABC: a R package to perform ecient approximate Bayesian computation sampling schemes. 7 indexed citations
4.
Mathias, Jean‐Denis, Arnaud Alzina, Michel Grédiac, et al.. (2015). Upcycling Sunflower Stems as Natural Fibers for Biocomposite Applications. BioResources. 10(4). 22 indexed citations
5.
Szczap, F., Thomas J. Fauchez, Charles Cornet, et al.. (2014). A flexible three-dimensional stratocumulus, cumulus and cirrus cloud generator (3DCLOUD) based on drastically simplified atmospheric equations and the Fourier transform framework. Geoscientific model development. 7(4). 1779–1801. 16 indexed citations
6.
Wei, Wei, Pyrène Larrey-Lassalle, Thierry Faure, et al.. (2014). How to Conduct a Proper Sensitivity Analysis in Life Cycle Assessment: Taking into Account Correlations within LCI Data and Interactions within the LCA Calculation Model. Environmental Science & Technology. 49(1). 377–385. 144 indexed citations
7.
Drouineau, Hilaire, Nicolas Dumoulin, Thierry Faure, et al.. (2014). The GR3D model, a tool to explore the Global Repositioning Dynamics of Diadromous fish Distribution. Ecological Modelling. 283. 31–44. 13 indexed citations
8.
Deffuant, Guillaume, Gérard Weisbuch, Frédéric Amblard, & Thierry Faure. (2013). The Results of Meadows and Cliff Are Wrong Because They Compute Indicator y Before Model Convergence. Journal of Artificial Societies and Social Simulation. 16(1). 3 indexed citations
9.
Jabot, Franck, Thierry Faure, & Nicolas Dumoulin. (2013). EasyABC: performing efficient approximate Bayesian computation sampling schemes using R. Methods in Ecology and Evolution. 4(7). 684–687. 66 indexed citations
10.
Faure, Thierry, et al.. (2010). A Multidimensional Model for Data Warehouses of Simulation Results. International Journal of Agricultural and Environmental Information Systems. 1(2). 1–19. 7 indexed citations
11.
Chuffart, Florent, Nicolas Dumoulin, Thierry Faure, & Guillaume Deffuant. (2010). SimExplorer. International Journal of Agricultural and Environmental Information Systems. 1(1). 55–68. 5 indexed citations
12.
Pichon, Céline Le, et al.. (2006). A Spatially Explicit Resource-Based Approach for Managing Stream Fishes in Riverscapes. Environmental Management. 37(3). 322–335. 37 indexed citations
13.
Deffuant, Guillaume, Frédéric Amblard, Gérard Weisbuch, & Thierry Faure. (2002). How can extremism prevail? A study based on the relative agreement interaction model. Journal of Artificial Societies and Social Simulation. 5(4). 1–1. 320 indexed citations
14.
Faure, Thierry, Harumi Isaka, & B. Guillemet. (2002). Neural network retrieval of cloud parameters from high-resolution multispectral radiometric data. Remote Sensing of Environment. 80(2). 285–296. 19 indexed citations
15.
Faure, Thierry, Harumi Isaka, & B. Guillemet. (2001). Neural network analysis of the radiative interaction between neighboring pixels in inhomogeneous clouds. Journal of Geophysical Research Atmospheres. 106(D13). 14465–14484. 14 indexed citations
16.
Faure, Thierry, Harumi Isaka, & B. Guillemet. (2001). Neural network retrieval of cloud parameters of inhomogeneous and fractional clouds. Remote Sensing of Environment. 77(2). 123–138. 39 indexed citations
17.
Faure, Thierry, Harumi Isaka, & B. Guillemet. (2001). Mapping neural network computation of high‐resolution radiant fluxes of inhomogeneous clouds. Journal of Geophysical Research Atmospheres. 106(D14). 14961–14973. 9 indexed citations
18.
Milhaud, Pierre G., et al.. (1983). Numerical tables for the direct estimation of virus titres by the maximum likelihood method. Annales de l Institut Pasteur Virologie. 134(3). 405–416. 14 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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