Fabrice Ducos

3.8k total citations · 1 hit paper
34 papers, 1.7k citations indexed

About

Fabrice Ducos is a scholar working on Atmospheric Science, Global and Planetary Change and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Fabrice Ducos has authored 34 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Atmospheric Science, 34 papers in Global and Planetary Change and 1 paper in Health, Toxicology and Mutagenesis. Recurrent topics in Fabrice Ducos's work include Atmospheric chemistry and aerosols (34 papers), Atmospheric aerosols and clouds (33 papers) and Atmospheric Ozone and Climate (20 papers). Fabrice Ducos is often cited by papers focused on Atmospheric chemistry and aerosols (34 papers), Atmospheric aerosols and clouds (33 papers) and Atmospheric Ozone and Climate (20 papers). Fabrice Ducos collaborates with scholars based in France, United States and China. Fabrice Ducos's co-authors include Оleg Dubovik, D. Tanré, M. Herman, Tatyana Lapyonok, J. L. Deuzé, Anton Lopatin, Andriy Holdak, A. Sinyuk, Fabien Waquet and Pavel Litvinov and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and Geophysical Research Letters.

In The Last Decade

Fabrice Ducos

31 papers receiving 1.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Statistically optimized inversion algorithm for enhanced retrieval of aerosol properties from spectral multi-angle polarimetric satellite observations

2011 465 citations Оleg Dubovik, M. Herman et al. Atmospheric measurement techniques profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fabrice Ducos France	18	1.6k	1.5k	100	97	97	34	1.7k
Anton Lopatin France	17	1.4k 0.9×	1.3k 0.9×	87 0.9×	78 0.8×	66 0.7×	43	1.5k
Francisco Navas-Guzmán Spain	22	1.1k 0.7×	1.1k 0.7×	102 1.0×	72 0.7×	51 0.5×	61	1.2k
Fabien Waquet France	18	1.1k 0.7×	1.0k 0.7×	65 0.7×	48 0.5×	91 0.9×	32	1.2k
Tomoaki Nishizawa Japan	22	1.2k 0.7×	1.2k 0.8×	132 1.3×	217 2.2×	40 0.4×	86	1.4k
Tom F. Eck United States	9	2.0k 1.3×	1.9k 1.3×	78 0.8×	136 1.4×	48 0.5×	13	2.1k
B. J. Gaitley United States	16	1.9k 1.2×	1.9k 1.2×	132 1.3×	179 1.8×	191 2.0×	25	2.0k
Dennis L. Hlavka United States	26	2.2k 1.4×	2.1k 1.4×	119 1.2×	92 0.9×	97 1.0×	63	2.4k
Frédérique Auriol France	18	880 0.6×	890 0.6×	49 0.5×	63 0.6×	61 0.6×	39	1.0k
William D. Hart United States	24	1.5k 0.9×	1.4k 0.9×	111 1.1×	30 0.3×	72 0.7×	55	1.6k
Luc Blarel France	19	1.1k 0.7×	1.1k 0.7×	70 0.7×	147 1.5×	66 0.7×	40	1.2k

Countries citing papers authored by Fabrice Ducos

Since Specialization

Citations

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

Fields of papers citing papers by Fabrice Ducos

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabrice Ducos

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

All Works

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20 of 20 papers shown

1.

Chang, Yuyang, Qiaoyun Hu, Philippe Goloub, et al.. (2025). Retrieval of microphysical properties of dust aerosols from extinction, backscattering and depolarization lidar measurements using various particle scattering models. Atmospheric chemistry and physics. 25(13). 6787–6821. 1 indexed citations

2.

Waquet, Fabien, Fabrice Ducos, F. Thieuleux, et al.. (2021). Combining POLDER-3 satellite observations and WRF-Chem numerical simulations to derive biomass burning aerosol properties over the southeast Atlantic region. Atmospheric chemistry and physics. 21(23). 17775–17805. 2 indexed citations

3.

Waquet, Fabien, Fabrice Ducos, F. Thieuleux, et al.. (2021). Combining POLDER-3 satellite observations and WRF-Chem numerical simulations to derive biomass burning aerosol properties over the Southeast Atlantic region. 1 indexed citations

4.

Chiapello, Isabelle, et al.. (2021). Aerosol optical properties derived from POLDER-3/PARASOL (2005–2013) over the Western Mediterranean Sea – Part 2: Spatial distribution and temporal variability. Atmospheric chemistry and physics. 21(16). 12715–12737. 5 indexed citations

5.

Schuster, Gregory L., R. Espinosa, Luke D. Ziemba, et al.. (2019). A Laboratory Experiment for the Statistical Evaluation of Aerosol Retrieval (STEAR) Algorithms. Remote Sensing. 11(5). 498–498. 20 indexed citations

6.

Li, Lei, Оleg Dubovik, Yevgeny Derimian, et al.. (2019). Retrieval of aerosol components directly from satellite and ground-based measurements. Atmospheric chemistry and physics. 19(21). 13409–13443. 108 indexed citations

7.

Chen, Cheng, Оleg Dubovik, Daven K. Henze, et al.. (2019). Constraining global aerosol emissions using POLDER/PARASOL satellite remote sensing observations. Atmospheric chemistry and physics. 19(23). 14585–14606. 45 indexed citations

8.

Formenti, Paola, et al.. (2018). Aerosol optical properties derived from POLDER-3/PARASOL (2005–2013) over the western Mediterranean Sea – Part 1: Quality assessment with AERONET and in situ airborne observations. Atmospheric measurement techniques. 11(12). 6761–6784. 16 indexed citations

9.

Chen, Cheng, Оleg Dubovik, Daven K. Henze, et al.. (2018). Retrieval of desert dust and carbonaceous aerosol emissions over Africa from POLDER/PARASOL products generated by the GRASP algorithm. Atmospheric chemistry and physics. 18(16). 12551–12580. 54 indexed citations

10.

Deaconu, Lucia, Fabien Waquet, Damien Josset, et al.. (2017). Consistency of aerosols above clouds characterization from A-Train active and passive measurements. Atmospheric measurement techniques. 10(9). 3499–3523. 19 indexed citations

11.

Derimian, Yevgeny, Оleg Dubovik, Xin Huang, et al.. (2016). Comprehensive tool for calculation of radiative fluxes: illustration of shortwave aerosol radiative effect sensitivities to the details in aerosol and underlying surface characteristics. Atmospheric chemistry and physics. 16(9). 5763–5780. 31 indexed citations

12.

Boichu, Marie, Lieven Clarisse, J. C. Péré, et al.. (2015). Temporal variations of flux and altitude of sulfur dioxide emissions during volcanic eruptions: implications for long-range dispersal of volcanic clouds. Atmospheric chemistry and physics. 15(14). 8381–8400. 16 indexed citations

13.

Peers, Fanny, Fabien Waquet, Charles Cornet, et al.. (2015). Absorption of aerosols above clouds from POLDER/PARASOL measurements and estimation of their direct radiative effect. Atmospheric chemistry and physics. 15(8). 4179–4196. 55 indexed citations

14.

Waquet, Fabien, Fanny Peers, Philippe Goloub, et al.. (2014). Retrieval of the Eyjafjallajökull volcanic aerosol optical and microphysical properties from POLDER/PARASOL measurements. Atmospheric chemistry and physics. 14(4). 1755–1768. 15 indexed citations

15.

Peyridieu, S., A. Chédin, Virginie Capelle, et al.. (2013). Characterisation of dust aerosols in the infrared from IASI and comparison with PARASOL, MODIS, MISR, CALIOP, and AERONET observations. Atmospheric chemistry and physics. 13(12). 6065–6082. 49 indexed citations

16.

Waquet, Fabien, Charles Cornet, J. L. Deuzé, et al.. (2013). Retrieval of aerosol microphysical and optical properties above liquid clouds from POLDER/PARASOL polarization measurements. Atmospheric measurement techniques. 6(4). 991–1016. 78 indexed citations

17.

Milinevsky, Gennadi, et al.. (2013). Variability of aerosol properties over Eastern Europe observed from ground and satellites in the period from 2003 to 2011. Atmospheric chemistry and physics. 13(13). 6587–6602. 37 indexed citations

18.

Waquet, Fabien, et al.. (2011). Remote sensing of aerosols above cloud using polarization measurements from POLDER/PARASOL: Comparison with LIDAR caliop. SHILAP Revista de lepidopterología. 89. 1 indexed citations

19.

Dubovik, Оleg, M. Herman, Andriy Holdak, et al.. (2011). Statistically optimized inversion algorithm for enhanced retrieval of aerosol properties from spectral multi-angle polarimetric satellite observations. Atmospheric measurement techniques. 4(5). 975–1018. 465 indexed citations breakdown →

20.

Tanré, D., François‐Marie Bréon, J. L. Deuzé, et al.. (2011). Remote sensing of aerosols by using polarized, directional and spectral measurements within the A-Train: the PARASOL mission. Atmospheric measurement techniques. 4(7). 1383–1395. 222 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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