D. M. Winker

4.6k total citations
43 papers, 2.6k citations indexed

About

D. M. Winker is a scholar working on Global and Planetary Change, Atmospheric Science and Earth-Surface Processes. According to data from OpenAlex, D. M. Winker has authored 43 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Global and Planetary Change, 33 papers in Atmospheric Science and 6 papers in Earth-Surface Processes. Recurrent topics in D. M. Winker's work include Atmospheric aerosols and clouds (37 papers), Atmospheric chemistry and aerosols (31 papers) and Atmospheric and Environmental Gas Dynamics (13 papers). D. M. Winker is often cited by papers focused on Atmospheric aerosols and clouds (37 papers), Atmospheric chemistry and aerosols (31 papers) and Atmospheric and Environmental Gas Dynamics (13 papers). D. M. Winker collaborates with scholars based in United States, France and Switzerland. D. M. Winker's co-authors include Mark Vaughan, Zhaoyan Liu, Charles R. Trepte, Graeme L. Stephens, Roger Marchand, Gerald G. Mace, C. R. Trepte, Qiuqing Zhang, Dong Liu and Zhien Wang and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Journal of Climate and Geophysical Research Letters.

In The Last Decade

D. M. Winker

39 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. M. Winker United States 22 2.2k 2.1k 291 206 153 43 2.6k
Anthony J. Baran United Kingdom 33 2.8k 1.3× 2.7k 1.3× 185 0.6× 102 0.5× 70 0.5× 96 3.2k
Andreas Macke Germany 23 1.8k 0.8× 1.7k 0.8× 327 1.1× 86 0.4× 61 0.4× 31 2.3k
Oliver Reitebuch Germany 31 1.9k 0.9× 1.8k 0.9× 230 0.8× 123 0.6× 160 1.0× 110 2.4k
E. Hirst United Kingdom 23 1.3k 0.6× 1.3k 0.6× 275 0.9× 87 0.4× 49 0.3× 54 1.9k
Y. Takano United States 26 2.6k 1.2× 2.5k 1.2× 85 0.3× 90 0.4× 69 0.5× 71 3.0k
Adolfo Comerón Spain 22 1.4k 0.6× 1.3k 0.6× 70 0.2× 174 0.8× 312 2.0× 141 2.0k
Pierre H. Flamant France 27 1.8k 0.8× 1.7k 0.8× 76 0.3× 139 0.7× 193 1.3× 98 2.4k
J. Riédi France 28 3.8k 1.7× 3.6k 1.7× 247 0.8× 41 0.2× 73 0.5× 85 4.3k
Igor Veselovskii Russia 32 2.6k 1.2× 2.4k 1.1× 173 0.6× 26 0.1× 56 0.4× 120 2.8k
Jens Bösenberg Germany 24 1.8k 0.8× 1.7k 0.8× 101 0.3× 100 0.5× 180 1.2× 48 2.2k

Countries citing papers authored by D. M. Winker

Since Specialization
Citations

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

Fields of papers citing papers by D. M. Winker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. M. Winker. 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 D. M. Winker. The network helps show where D. M. Winker may publish in the future.

Co-authorship network of co-authors of D. M. Winker

This figure shows the co-authorship network connecting the top 25 collaborators of D. M. Winker. A scholar is included among the top collaborators of D. M. Winker 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 D. M. Winker. D. M. Winker 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.
Thorsen, Tyler J., D. M. Winker, & R. A. Ferrare. (2020). Uncertainty in Observational Estimates of the Aerosol Direct Radiative Effect and Forcing. Journal of Climate. 34(1). 195–214. 1 indexed citations
2.
Mann, G. W., Juan Carlos Antuña, Sandip Dhomse, et al.. (2019). Ash-sulphuric interactions: Simulating major volcanic aerosol clouds as global dust veils. AGU Fall Meeting Abstracts. 2019. 1 indexed citations
3.
Tackett, Jason L., Jayanta Kar, Ali Omar, et al.. (2019). CALIOP View of Stratospheric Smoke Caused by 2019 Boreal Summer Wildfires. AGUFM. 2019. 1 indexed citations
4.
Tackett, Jason L., et al.. (2016). Enhancements to the CALIOP Aerosol Subtyping and Lidar Ratio Selection Algorithms for Level II Version 4. Springer Link (Chiba Institute of Technology). 2016. 1 indexed citations
5.
Rogers, Raymond R., Mark Vaughan, C. A. Hostetler, et al.. (2014). Looking through the haze: evaluating the CALIPSO level 2 aerosol optical depth using airborne high spectral resolution lidar data. Atmospheric measurement techniques. 7(12). 4317–4340. 66 indexed citations
6.
Zeng, Shan, J. Riédi, C. R. Trepte, D. M. Winker, & Yongxiang Hu. (2013). Study of cloud droplet number concentration using the A-Train satellites.
7.
Campbell, James R., Jason L. Tackett, Jeffrey S. Reid, et al.. (2012). Evaluating nighttime CALIOP 0.532 μm aerosol optical depth and extinction coefficient retrievals. Atmospheric measurement techniques. 5(9). 2143–2160. 50 indexed citations
8.
Omar, Ali, D. M. Winker, Jason L. Tackett, & G. L. Schuster. (2011). CALIPSO AERONET Aerosol Optical Depth Intercomparisons: One Size Fits None. AGU Fall Meeting Abstracts. 2011. 2 indexed citations
9.
Rogers, R. R., C. A. Hostetler, John Hair, et al.. (2011). Assessment of the CALIPSO Lidar 532 nm attenuated backscatter calibration using the NASA LaRC airborne High Spectral Resolution Lidar. Atmospheric chemistry and physics. 11(3). 1295–1311. 88 indexed citations
10.
Sun‐Mack, Sunny, Patrick Minnis, Seiji Kato, et al.. (2010). Enhanced Cloud algorithm from collocated CALIPSO, CloudSat and MODIS global boundary layer lapse rate studies. 201–204. 2 indexed citations
11.
Dupont, Jean‐Charles, Martial Haeffelin, Y. Morille, et al.. (2009). Macrophysical and optical properties of midlatitude high-altitude clouds from 4 ground-based lidars and collocated CALIOP observations. EGU General Assembly Conference Abstracts. 4687. 1 indexed citations
12.
Omar, Ali, Mark Vaughan, C. Kittaka, & D. M. Winker. (2008). Case studies and comparisons of the CALIPSO aerosol optical depth measurements and aerosol type estimates. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7111. 71110A–71110A. 1 indexed citations
13.
Wang, Zhien, Graeme L. Stephens, Terry Deshler, et al.. (2008). Association of Antarctic polar stratospheric cloud formation on tropospheric cloud systems. Geophysical Research Letters. 35(13). 29 indexed citations
14.
Hu, Yongxiang, et al.. (2006). The lidar sub-surface perpendicular polarization returns: Creating a value-added CALIPSO ocean profile product. cosp. 36. 4.
15.
Kuehn, Ralph E., D. M. Winker, & Mark Vaughan. (2004). Applying a Range Dependent Multiple Scattering Correction to Retrievals of Extinction Using Lite Data. 561. 475. 1 indexed citations
16.
Berthier, S., Jacques Pelon, Patrick Chazette, et al.. (2004). Cloud Statistics from Spaceborne Backscatter LIDAR Data Analysis. 561. 937. 1 indexed citations
17.
Yang, Ping, Bo-Cai Gao, W. J. Wiscombe, et al.. (2002). Inherent and apparent scattering properties of coated or uncoated spheres embedded in an absorbing host medium. Applied Optics. 41(15). 2740–2740. 86 indexed citations
18.
Yang, Ping, Bo‐Cai Gao, Bryan A. Baum, et al.. (2001). Asymptotic solutions for optical properties of large particles with strong absorption. Applied Optics. 40(9). 1532–1532. 28 indexed citations
19.
Woods, David C., et al.. (1994). The 48-inch lidar aerosol measurements taken at the Langley Research Center. 3 indexed citations
20.
Winker, D. M., et al.. (1988). Characteristics Of Turbulence Measured On A Large Aperture. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 926. 360–360. 3 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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