G. Wind

2.0k citations

37 papers · 1.1k indexed · 1 hit paper · h-index 15

Impact in

Atmospheric Science top 2%
- Atmospheric chemistry and aerosols
- Atmospheric Ozone and Climate
- Meteorological Phenomena and Simulations
Global and Planetary Change top 2%
- Atmospheric aerosols and clouds
- Atmospheric and Environmental Gas Dynamics
- Climate variability and models

Papers in ⓘ

Atmospheric Science 30
- Atmospheric chemistry and aerosols 22
- Atmospheric Ozone and Climate 12
Global and Planetary Change 31
- Atmospheric aerosols and clouds 30
- Atmospheric and Environmental Gas Dynamics 13
- Climate variability and models 3

Co-authors: Steven Platnick (30 shared papers)Kerry Meyer (16 shared papers)Michael D. King (6 shared papers)Paul A. Hubanks (4 shared papers)B. P. Marchant (5 shared papers)Ping Yang (2 shared papers)Nandana Amarasinghe (6 shared papers)G. Thomas Arnold (3 shared papers)
Journals: Atmospheric measurement techniques (6 papers)Remote Sensing (4 papers)Geoscientific model development (3 papers)Journal of Geophysical Research Atmospheres (3 papers)Journal of Geophysical Research Atmospheres (2 papers)
Partner nations: United States France South Korea

In The Last Decade

G. Wind

36 papers receiving 1.1k citations

Hit Papers

align trajectories log scale

The MODIS Cloud Optical and Microphysical Products: Collection 6 Updates and Examples From Terra and Aqua 2016 · 589 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2016 IEEE Transactions on Geoscience and Remote Sensing

Peers

Countries citing papers authored by G. Wind

Since Specialization

Citations

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

Fields of papers citing papers by G. Wind

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside G. Wind, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with G. Wind Line = papers co-authored together G. Wind links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	The MODIS Cloud Optical and Microphysical Products: Collection 6 Updates and Examples From Terra and Aqua IEEE Transactions on Geoscience and Remote Sensing ·Steven Platnick, Kerry Meyer, Michael D. King, G. Wind, Nandana Amarasinghe, B. P. Marchant, G. Thomas Arnold, Zhibo Zhang, Paul A. Hubanks, Robert E. Holz, Ping Yang, William L. Ridgway, J. Riédi Hit paper breakdown →	2016	589
2	Multilayer Cloud Detection with the MODIS Near-Infrared Water Vapor Absorption Band Journal of Applied Meteorology and Climatology ·G. Wind, Steven Platnick, Michael D. King, Paul A. Hubanks, Michael J. Pavolonis, Andrew K. Heidinger, Ping Yang, Bryan A. Baum	2010	77
3	A framework based on 2‐D Taylor expansion for quantifying the impacts of subpixel reflectance variance and covariance on cloud optical thickness and effective radius retrievals based on the bispectral method Journal of Geophysical Research Atmospheres ·Zhedong Zhang, Frank Werner, Hyoyoung Cho, G. Wind, Steven Platnick, Andrew S. Ackerman, Larry Di Girolamo, Alexander Marshak, Kerry Meyer	2016	55
4	Examining the impact of overlying aerosols on the retrieval of cloud optical properties from passive remote sensing Journal of Geophysical Research Atmospheres ·Odele Coddington, Peter Pilewskie, Jens Redemann, Steven Platnick, Philip B. Russell, K. Sebastian Schmidt, Warren J. Gore, J. M. Livingston, G. Wind, Tomislava Vukićević	2010	45
5	Detection of multi-layer and vertically-extended clouds using A-train sensors Atmospheric measurement techniques ·Joanna Joiner, A. P. Vasilkov, P. K. Bhartia, G. Wind, Steven Platnick, W. Paul Menzel	2010	39
6	Testing remote sensing on artificial observations: impact of drizzle and 3-D cloud structure on effective radius retrievals Atmospheric chemistry and physics ·Tobias Zinner, G. Wind, Steven Platnick, Andrew S. Ackerman	2010	38
7	Evaluation of the MODIS Collection 6 multilayer cloud detection algorithm through comparisons with CloudSat Cloud Profiling Radar and CALIPSO CALIOP products Atmospheric measurement techniques ·B. P. Marchant, Steven Platnick, Kerry Meyer, G. Wind	2020	35
8	Cloud products from the Earth Polychromatic Imaging Camera (EPIC): algorithms and initial evaluation Atmospheric measurement techniques ·Yuekui Yang, Kerry Meyer, G. Wind, Yaping Zhou, Alexander Marshak, Steven Platnick, Qilong Min, Anthony B. Davis, Joanna Joiner, A. P. Vasilkov, David P. Duda, Wenying Su	2019	34
9	The NASA MODIS-VIIRS Continuity Cloud Optical Properties Products Remote Sensing ·Steven Platnick, Kerry Meyer, G. Wind, Robert E. Holz, Nandana Amarasinghe, Paul A. Hubanks, B. P. Marchant, S. Dutcher, Paolo Veglio	2020	32
10	Remote sensing of radiative and microphysical properties of clouds during TC⁴: Results from MAS, MASTER, MODIS, and MISR Journal of Geophysical Research Atmospheres ·Michael D. King, Steven Platnick, G. Wind, G. Thomas Arnold, Roseanne Dominguez	2010	30
11	Evaluation of Chlorophyll-a and POC MODIS Aqua Products in the Southern Ocean Remote Sensing ·William Moutier, Sandy Thomalla, Stewart Bernard, G. Wind, Thomas Ryan‐Keogh, Marié Smith	2019	26
12	Comparison of CALIPSO-Like, LaRC, and MODIS Retrievals of Ice-Cloud Properties over SIRTA in France and Florida during CRYSTAL-FACE Journal of Applied Meteorology and Climatology ·Marjolaine Chiriaco, Hélène Chepfer, Patrick Minnis, M. Haeffelin, Steven Platnick, Darrel Baumgardner, P. Dubuisson, Matthew J. McGill, Vincent Noël, Jacques Pelon, D. A. Spangenberg, Sunny Sun‐Mack, G. Wind	2007	26
13	In-Flight Calibration and Performance of the OSIRIS-REx Visible and IR Spectrometer (OVIRS) Remote Sensing ·Amy Simon, Dennis C. Reuter, Nicolas Gorius, Allen Lunsford, Richard Cosentino, G. Wind, D. S. Lauretta, (unknown)	2018	16
14	Multi-sensor cloud retrieval simulator and remote sensing from model parameters – Part 1: Synthetic sensor radiance formulation Geoscientific model development ·G. Wind, Arlindo da Silva, P. M. Norris, Steven Platnick	2013	14
15	Quantifying the Impacts of Subpixel Reflectance Variability on Cloud Optical Thickness and Effective Radius Retrievals Based On High‐Resolution ASTER Observations Journal of Geophysical Research Atmospheres ·Frank Werner, Zhibo Zhang, G. Wind, D. J. Miller, Steven Platnick	2018	14
16	Marine boundary layer cloud property retrievals from high-resolution ASTER observations: case studies and comparison with Terra MODIS Atmospheric measurement techniques ·Frank Werner, G. Wind, Zhibo Zhang, Steven Platnick, Larry Di Girolamo, Guangyu Zhao, Nandana Amarasinghe, Kerry Meyer	2016	12
17	Sensitivity of Multispectral Imager Liquid Water Cloud Microphysical Retrievals to the Index of Refraction Remote Sensing ·Steven Platnick, Kerry Meyer, Nandana Amarasinghe, G. Wind, Paul A. Hubanks, Robert E. Holz	2020	11
18	Multi-sensor cloud and aerosol retrieval simulator and remote sensing frommodel parameters – Part 2: Aerosols Geoscientific model development ·G. Wind, Arlindo da Silva, P. M. Norris, Steven Platnick, S. Mattoo, R. C. Levy	2016	7
19	Improving Cloud Optical Property Retrievals for Partly Cloudy Pixels Using Coincident Higher‐Resolution Single Band Measurements: A Feasibility Study Using ASTER Observations Journal of Geophysical Research Atmospheres ·Frank Werner, Zhibo Zhang, G. Wind, D. J. Miller, Steven Platnick, Larry Di Girolamo	2018	7
20	The retrieval of cloud properties based on spectral solar light diffuse transmittance measurements under optically thick cloud cover conditions Journal of Quantitative Spectroscopy and Radiative Transfer ·Alexander Kokhanovsky, A. Smirnov, Sergey Korkin, G. Wind, I. Slutsker	2020	6

About G. Wind

G. Wind is a scholar working on Atmospheric Science, Global and Planetary Change, Earth-Surface Processes, Aerospace Engineering and Artificial Intelligence, having authored 37 papers that have together received 1.1k indexed citations. Recurring topics across this work include Atmospheric aerosols and clouds (30 papers), Atmospheric chemistry and aerosols (22 papers), Atmospheric and Environmental Gas Dynamics (13 papers), Atmospheric Ozone and Climate (12 papers), Solar Radiation and Photovoltaics (5 papers), Infrared Target Detection Methodologies (3 papers), Calibration and Measurement Techniques (3 papers) and Climate variability and models (3 papers). The work is most often cited by research in Atmospheric Science (931 citations), Global and Planetary Change (1.0k citations), Earth-Surface Processes (82 citations), Oceanography (46 citations) and Artificial Intelligence (107 citations). G. Wind has collaborated with scholars based in United States, France and South Korea. Frequent co-authors include Steven Platnick, Kerry Meyer, Michael D. King, Paul A. Hubanks, B. P. Marchant, Ping Yang, Nandana Amarasinghe, G. Thomas Arnold, Robert E. Holz and Zhibo Zhang. Their work appears in journals such as Atmospheric measurement techniques, Remote Sensing, Geoscientific model development, Journal of Geophysical Research Atmospheres and Journal of Geophysical Research Atmospheres.

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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