Paul Ginoux

35.9k total citations · 6 hit papers
133 papers, 14.9k citations indexed

About

Paul Ginoux is a scholar working on Global and Planetary Change, Atmospheric Science and Earth-Surface Processes. According to data from OpenAlex, Paul Ginoux has authored 133 papers receiving a total of 14.9k indexed citations (citations by other indexed papers that have themselves been cited), including 119 papers in Global and Planetary Change, 118 papers in Atmospheric Science and 37 papers in Earth-Surface Processes. Recurrent topics in Paul Ginoux's work include Atmospheric chemistry and aerosols (104 papers), Atmospheric aerosols and clouds (99 papers) and Atmospheric Ozone and Climate (45 papers). Paul Ginoux is often cited by papers focused on Atmospheric chemistry and aerosols (104 papers), Atmospheric aerosols and clouds (99 papers) and Atmospheric Ozone and Climate (45 papers). Paul Ginoux collaborates with scholars based in United States, France and China. Paul Ginoux's co-authors include Joseph M. Prospero, Omar Torres, Thomas E. Gill, Mian Chin, Sharon E. Nicholson, B. N. Holben, N. Christina Hsu, Ina Tegen, Оleg Dubovik and Ming Zhao and has published in prestigious journals such as Nature Communications, Journal of Geophysical Research Atmospheres and Scientific Reports.

In The Last Decade

Paul Ginoux

128 papers receiving 14.5k citations

Hit Papers

5 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.

ENVIRONMENTAL CHARACTERIZATION OF GLOBAL SOURCES OF ATMOSPHERIC SOIL DUST IDENTIFIED WITH THE NIMBUS 7 TOTAL OZONE MAPPING SPECTROMETER (TOMS) ABSORBING AEROSOL PRODUCT

2002 2.4k citations Paul Ginoux et al. profile →
Sources and distributions of dust aerosols simulated with the GOCART model

2001 1.6k citations Paul Ginoux, Mian Chin et al. profile →
Tropospheric Aerosol Optical Thickness from the GOCART Model and Comparisons with Satellite and Sun Photometer Measurements

2002 1.2k citations Mian Chin, Paul Ginoux et al. profile →
Global‐scale attribution of anthropogenic and natural dust sources and their emission rates based on MODIS Deep Blue aerosol products

2012 1.1k citations Paul Ginoux, Ming Zhao et al. profile →
Emissions of primary aerosol and precursor gases in the years 2000 and 1750 prescribed data-sets for AeroCom

2006 673 citations Paul Ginoux, Michael Schulz et al. Atmospheric chemistry and physics profile →
Dust transport and deposition observed from the Terra‐Moderate Resolution Imaging Spectroradiometer (MODIS) spacecraft over the Atlantic Ocean

2005 514 citations Paul Ginoux et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Paul Ginoux United States	50	12.8k	11.9k	3.4k	2.2k	1.1k	133	14.9k
Ina Tegen Germany	59	15.4k 1.2×	13.7k 1.2×	5.2k 1.5×	1.9k 0.9×	2.1k 1.9×	157	18.6k
G. Bergametti France	46	8.0k 0.6×	6.1k 0.5×	4.4k 1.3×	1.5k 0.7×	1.7k 1.6×	136	11.4k
Jim Haywood United Kingdom	61	12.1k 0.9×	12.3k 1.0×	834 0.2×	2.1k 1.0×	348 0.3×	226	14.2k
R. Arimoto United States	58	7.3k 0.6×	4.3k 0.4×	1.4k 0.4×	3.7k 1.7×	879 0.8×	115	9.5k
M. Flanner United States	43	8.6k 0.7×	7.3k 0.6×	472 0.1×	1.5k 0.7×	476 0.4×	91	10.6k
Itsushi Uno Japan	54	8.3k 0.6×	6.1k 0.5×	879 0.3×	3.1k 1.5×	359 0.3×	200	9.3k
N. Kubilay Türkiye	28	4.3k 0.3×	2.6k 0.2×	1.0k 0.3×	1.5k 0.7×	2.1k 1.9×	36	6.6k
Grant H. McTainsh Australia	49	4.0k 0.3×	2.7k 0.2×	3.1k 0.9×	907 0.4×	530 0.5×	111	6.1k
Thomas E. Gill United States	34	5.0k 0.4×	4.4k 0.4×	3.0k 0.9×	1.0k 0.5×	239 0.2×	114	6.9k
Nicolas Bellouin United Kingdom	46	8.1k 0.6×	9.4k 0.8×	348 0.1×	928 0.4×	774 0.7×	112	11.1k

Countries citing papers authored by Paul Ginoux

Since Specialization

Citations

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

Fields of papers citing papers by Paul Ginoux

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Ginoux

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Pouyaei, Arman, Paul Ginoux, D. S. Ward, Yan Yu, & Larry W. Horowitz. (2025). Implementation of Dynamic Fire Injection Height in GFDL's Atmospheric Model (AM4.0): Impacts on Aerosol Profiles and Radiation. Journal of Advances in Modeling Earth Systems. 17(4).

Li, Xiaohan & Paul Ginoux. (2025). An Empirical Parameterization to Separate Coarse and Fine Mode Aerosol Optical Depth Over Land. Geophysical Research Letters. 52(6). 1 indexed citations

Yu, Yan, et al.. (2025). Rise in dust emissions from burned landscapes primarily driven by small fires. Nature Geoscience. 18(7). 586–592. 1 indexed citations

Shevliakova, Elena, Sergey Malyshev, Isabel Martínez, et al.. (2024). The Land Component LM4.1 of the GFDL Earth System Model ESM4.1: Model Description and Characteristics of Land Surface Climate and Carbon Cycling in the Historical Simulation. Journal of Advances in Modeling Earth Systems. 16(5). 13 indexed citations

Kim, Dongchul, Mian Chin, G. L. Schuster, et al.. (2024). Where Dust Comes From: Global Assessment of Dust Source Attributions With AeroCom Models. Journal of Geophysical Research Atmospheres. 129(16). 6 indexed citations

Allen, Robert J., Steven T. Turnock, Larry W. Horowitz, et al.. (2023). The projected future degradation in air quality is caused by more abundant natural aerosols in a warmer world. Communications Earth & Environment. 4(1). 24 indexed citations

Zhong, Qirui, Nick Schutgens, Guido R. van der Werf, et al.. (2022). Using modelled relationships and satellite observations to attribute modelled aerosol biases over biomass burning regions. Nature Communications. 13(1). 5914–5914. 12 indexed citations

Dunne, John P., et al.. (2022). Oceanic and Atmospheric Drivers of Post‐El‐Niño Chlorophyll Rebound in the Equatorial Pacific. Geophysical Research Letters. 49(5). 9 indexed citations

Go, Sujung, Alexei Lyapustin, Gregory L. Schuster, et al.. (2022). Inferring iron-oxide species content in atmospheric mineral dust from DSCOVR EPIC observations. Atmospheric chemistry and physics. 22(2). 1395–1423. 22 indexed citations

10.

Yu, Yan, О. В. Калашникова, M. J. Garay, et al.. (2020). Disproving the Bodélé Depression as the Primary Source of Dust Fertilizing the Amazon Rainforest. Geophysical Research Letters. 47(13). 22 indexed citations

11.

Ming, Yi, Norman G. Loeb, Pu Lin, et al.. (2020). Assessing the influence of COVID-19 on Earth's radiative balance. 1 indexed citations

12.

Meng, Jun, Randall V. Martin, Paul Ginoux, et al.. (2020). Grid-independent High Resolution Dust Emissions (v1.0) for ChemicalTransport Models: Application to GEOS-Chem (version 12.5.0). 1 indexed citations

13.

Horowitz, Larry W., Vaishali Naïk, Fabien Paulot, et al.. (2020). The GFDL Global Atmospheric Chemistry‐Climate Model AM4.1: Model Description and Simulation Characteristics. Journal of Advances in Modeling Earth Systems. 12(10). 84 indexed citations

14.

Vecchi, Gabriel A., et al.. (2018). The Climatological Effect of Saharan Dust on Global Tropical Cyclones in a Fully Coupled GCM. Journal of Geophysical Research Atmospheres. 123(10). 5538–5559. 38 indexed citations

15.

Paulot, Fabien, David Paynter, Paul Ginoux, Vaishali Naïk, & Larry W. Horowitz. (2018). Changes in the aerosol direct radiative forcing from 2001 to 2015: observational constraints and regional mechanisms. Atmospheric chemistry and physics. 18(17). 13265–13281. 71 indexed citations

16.

Paulot, Fabien, David Paynter, Paul Ginoux, et al.. (2017). Gas‐aerosol partitioning of ammonia in biomass burning plumes: Implications for the interpretation of spaceborne observations of ammonia and the radiative forcing of ammonium nitrate. Geophysical Research Letters. 44(15). 8084–8093. 32 indexed citations

17.

Kim, D., et al.. (2015). High-Resolution Dynamic Dust Source Function Development in the NU-WRF model. AGU Fall Meeting Abstracts. 2015. 1 indexed citations

18.

Kim, Dongchul, Mian Chin, Huisheng Bian, et al.. (2013). The effect of the dynamic surface bareness on dust source function, emission, and distribution. Journal of Geophysical Research Atmospheres. n/a–n/a. 9 indexed citations

19.

Kim, Dongchul, Mian Chin, Huisheng Bian, et al.. (2012). The effect of the dynamic surface bareness on dust source function, emission, and distribution. Journal of Geophysical Research Atmospheres. 118(2). 871–886. 84 indexed citations

20.

Winstead, Nathaniel S., et al.. (2002). Forecasting Dust Storms Using the CARMA-Dust Model and MM5 Weather Data. AGUFM. 2002. 1 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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