Damien Josset

1.8k total citations
38 papers, 1.0k citations indexed

About

Damien Josset is a scholar working on Global and Planetary Change, Atmospheric Science and Oceanography. According to data from OpenAlex, Damien Josset has authored 38 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Global and Planetary Change, 24 papers in Atmospheric Science and 9 papers in Oceanography. Recurrent topics in Damien Josset's work include Atmospheric aerosols and clouds (30 papers), Atmospheric and Environmental Gas Dynamics (18 papers) and Atmospheric chemistry and aerosols (18 papers). Damien Josset is often cited by papers focused on Atmospheric aerosols and clouds (30 papers), Atmospheric and Environmental Gas Dynamics (18 papers) and Atmospheric chemistry and aerosols (18 papers). Damien Josset collaborates with scholars based in United States, France and Germany. Damien Josset's co-authors include Yongxiang Hu, Peng‐Wang Zhai, Patricia L. Lucker, Sharon Rodier, Bing Lin, Charles R. Trepte, Kuan‐Man Xu, Wenbo Sun, Jianping Huang and Jacques Pelon and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Scientific Reports and Geophysical Research Letters.

In The Last Decade

Damien Josset

34 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Damien Josset United States 15 893 824 140 57 48 38 1.0k
Patricia L. Lucker United States 14 1.0k 1.2× 856 1.0× 231 1.6× 129 2.3× 37 0.8× 31 1.2k
John Hair United States 13 637 0.7× 525 0.6× 102 0.7× 68 1.2× 28 0.6× 27 760
L. R. Poole United States 10 1.0k 1.1× 938 1.1× 139 1.0× 76 1.3× 45 0.9× 14 1.2k
Charles Trepte United States 8 982 1.1× 927 1.1× 61 0.4× 47 0.8× 55 1.1× 15 1.1k
Nicholas R. Nalli United States 21 927 1.0× 974 1.2× 186 1.3× 81 1.4× 25 0.5× 63 1.1k
Fabien Waquet France 18 1.1k 1.3× 1.0k 1.2× 107 0.8× 65 1.1× 31 0.6× 32 1.2k
M. E. Splitt United States 13 544 0.6× 485 0.6× 64 0.5× 70 1.2× 30 0.6× 38 846
Sonoyo Mukai Japan 12 576 0.6× 554 0.7× 73 0.5× 42 0.7× 42 0.9× 117 795
Itaru Sano Japan 11 638 0.7× 629 0.8× 55 0.4× 35 0.6× 48 1.0× 95 744
Ghouse Basha India 19 747 0.8× 840 1.0× 107 0.8× 98 1.7× 25 0.5× 49 1.0k

Countries citing papers authored by Damien Josset

Since Specialization
Citations

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

Fields of papers citing papers by Damien Josset

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Damien Josset

This figure shows the co-authorship network connecting the top 25 collaborators of Damien Josset. A scholar is included among the top collaborators of Damien Josset 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 Damien Josset. Damien Josset 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.
Josset, Damien, et al.. (2025). Subpixel Target Detection in Hyperspectral Imaging Using a Deep Neural Network With a Variable Stepsize Gradient Descent Method. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 7707–7727. 1 indexed citations
2.
Josset, Damien, et al.. (2024). Using space lidar to infer bubble cloud depth on a global scale. Scientific Reports. 14(1). 24525–24525.
3.
4.
5.
Li, Zhujun, David Painemal, Gregory L. Schuster, et al.. (2022). Assessment of tropospheric CALIPSO Version 4.2 aerosol types over the ocean using independent CALIPSO–SODA lidar ratios. Atmospheric measurement techniques. 15(9). 2745–2766. 7 indexed citations
6.
Vaughan, Mark, Anne Garnier, Damien Josset, et al.. (2019). CALIPSO lidar calibration at 1064 nm: version 4 algorithm. Atmospheric measurement techniques. 12(1). 51–82. 55 indexed citations
7.
Painemal, David, Marian Clayton, R. A. Ferrare, et al.. (2019). Novel aerosol extinction coefficients and lidar ratios over the ocean from CALIPSO–CloudSat: evaluation and global statistics. Atmospheric measurement techniques. 12(4). 2201–2217. 13 indexed citations
8.
Kar, Jayanta, Mark Vaughan, Kam-Pui Lee, et al.. (2018). CALIPSO lidar calibration at 532 nm: version 4 nighttime algorithm. Atmospheric measurement techniques. 11(3). 1459–1479. 87 indexed citations
9.
Kar, Jayanta, Mark Vaughan, Kam-Pui Lee, et al.. (2017). CALIPSO Lidar Calibration at 532 nm: Version 4 Nighttime Algorithm. 9 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.
Meskhidze, N., et al.. (2015). Spaceborne observations of the lidar ratio of marine aerosols. Atmospheric chemistry and physics. 15(6). 3241–3255. 31 indexed citations
12.
Josset, Damien, Weilin Hou, J. Pelon, et al.. (2015). Ocean and polarization observations from active remote sensing: atmospheric and ocean science applications. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9459. 94590N–94590N. 4 indexed citations
13.
Zhai, Peng‐Wang, Yongxiang Hu, Charles R. Trepte, et al.. (2013). Inherent optical properties of the coccolithophore: Emiliania huxleyi. Optics Express. 21(15). 17625–17625. 25 indexed citations
14.
Sourdeval, Odran, Gérard Brogniez, Jacques Pelon, et al.. (2012). Validation of IIR/CALIPSO Level 1 Measurements by Comparison with Collocated Airborne Observations during CIRCLE-2 and Biscay ‘08 Campaigns. Journal of Atmospheric and Oceanic Technology. 29(5). 653–667. 12 indexed citations
15.
Josset, Damien, Raymond R. Rogers, Jacques Pelon, et al.. (2011). CALIPSO lidar ratio retrieval over the ocean. Optics Express. 19(19). 18696–18696. 19 indexed citations
16.
Real, E., Kathy S. Law, F. Fierli, et al.. (2010). Cross-hemispheric transport of central African biomass burning pollutants: implications for downwind ozone production. Atmospheric chemistry and physics. 10(6). 3027–3046. 35 indexed citations
17.
Roberts, Greg, L. Gomes, J. L. Brenguier, et al.. (2009). Assessing aerosol-cloud interactions linking multi-platform observations and remote sensing. AGU Fall Meeting Abstracts. 2009.
18.
Hu, Yongxiang, Sharon Rodier, Damien Josset, et al.. (2009). An assessment of ocean-aerosol-cloud-climate interaction using CALIPSO ocean surface and sub-surface lidar backscatter measurements. AGU Fall Meeting Abstracts. 2009.
19.
Turquéty, Solène, D. Hurtmans, J. Hadji‐Lazaro, et al.. (2009). Tracking the emission and transport of pollution from wildfires using the IASI CO retrievals: analysis of the summer 2007 Greek fires. Atmospheric chemistry and physics. 9(14). 4897–4913. 102 indexed citations
20.
Zhai, Peng‐Wang, Yongxiang Hu, Jacek Chowdhary, et al.. (2009). A vector radiative transfer model for coupled atmosphere and ocean systems with a rough interface. Journal of Quantitative Spectroscopy and Radiative Transfer. 111(7-8). 1025–1040. 123 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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