Michael I. Mishchenko

Goddard Institute for Space Studies

Papers

9

Total Citations

1,391

H-Index

8

About

Michael I. Mishchenko is a leading figure in atmospheric aerosol research, renowned for his pioneering work in remote sensing and light scattering. His key research areas include aerosol retrieval algorithms, polarimetric remote sensing, and the characterization of non-spherical particles. Mishchenko’s major contributions include developing the non-spherical aerosol retrieval method using light scattering by spheroids (489 citations), which revolutionized the modeling of dust-like aerosols. He also advanced global aerosol monitoring through integration of satellite data and models, as seen in his work on monthly aerosol property averages (324 citations). His innovative polarimetric approach for aerosol retrieval over land (187 citations) enabled more accurate surface effect estimation. Mishchenko’s impact is further demonstrated by his contributions to the AERONET network, including a new research algorithm for retrieving aerosol microphysical properties (84 citations). His studies on aerosol variability influenced by the Madden-Julian Oscillation (70 citations) expanded understanding of aerosol-climate interactions. With over 1,400 total citations from his most-cited works, Mishchenko’s research has significantly advanced satellite-based aerosol monitoring and climate modeling, making him a key authority in atmospheric science.

Research Focus

Key Achievements

8
H-Index
9
Papers
1,391
Total Citations
155
Avg Citations/Paper
🏆 Most Cited Paper
Non‐spherical aerosol retrieval method employing light scattering by spheroids
489 citations · 2002
📈 Most Prolific Year: 2003 (2 Papers)
🤝 Key Collaborators: 62
🏛 Institutions: Goddard Institute for Space Studies

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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