D. Vane

4.8k total citations · 2 hit papers
26 papers, 3.5k citations indexed

About

D. Vane is a scholar working on Atmospheric Science, Global and Planetary Change and Earth-Surface Processes. According to data from OpenAlex, D. Vane has authored 26 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Atmospheric Science, 20 papers in Global and Planetary Change and 6 papers in Earth-Surface Processes. Recurrent topics in D. Vane's work include Atmospheric aerosols and clouds (18 papers), Meteorological Phenomena and Simulations (13 papers) and Atmospheric chemistry and aerosols (8 papers). D. Vane is often cited by papers focused on Atmospheric aerosols and clouds (18 papers), Meteorological Phenomena and Simulations (13 papers) and Atmospheric chemistry and aerosols (8 papers). D. Vane collaborates with scholars based in United States, United Kingdom and France. D. Vane's co-authors include Graeme L. Stephens, R. T. Austin, Zhien Wang, Gerald G. Mace, Stephen L. Durden, William B. Rossow, C. Mitrescu, Ewan O’Connor, R. J. Boain and Steven D. Miller and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Geophysical Research Letters and Atmospheric chemistry and physics.

In The Last Decade

D. Vane

24 papers receiving 3.5k citations

Hit Papers

THE CLOUDSAT MISSION AND THE A-TRAIN 2002 2026 2010 2018 2002 2008 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. Vane United States 14 3.2k 3.1k 180 143 121 26 3.5k
Kentaroh Suzuki Japan 29 3.2k 1.0× 3.2k 1.0× 330 1.8× 77 0.5× 102 0.8× 99 3.6k
John M. Haynes United States 22 2.4k 0.7× 2.2k 0.7× 151 0.8× 62 0.4× 182 1.5× 41 2.8k
J. M. Comstock United States 32 2.8k 0.9× 2.8k 0.9× 290 1.6× 103 0.7× 81 0.7× 84 3.2k
Roger Marchand United States 28 4.0k 1.2× 4.0k 1.3× 339 1.9× 119 0.8× 191 1.6× 79 4.4k
Julien Delanoe͏̈ France 32 3.1k 1.0× 3.0k 1.0× 229 1.3× 309 2.2× 54 0.4× 116 3.4k
Kathleen A. Powell United States 19 4.9k 1.5× 5.1k 1.7× 327 1.8× 104 0.7× 129 1.1× 33 5.4k
Lazaros Oreopoulos United States 31 2.1k 0.7× 2.2k 0.7× 160 0.9× 94 0.7× 220 1.8× 105 2.5k
Peter N. Francis United Kingdom 27 2.6k 0.8× 2.6k 0.9× 281 1.6× 193 1.3× 75 0.6× 56 2.9k
Philip T. Partain United States 12 1.3k 0.4× 1.2k 0.4× 94 0.5× 78 0.5× 75 0.6× 16 1.6k
Philippe Goloub France 32 2.8k 0.9× 2.8k 0.9× 130 0.7× 283 2.0× 57 0.5× 141 3.2k

Countries citing papers authored by D. Vane

Since Specialization
Citations

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

Fields of papers citing papers by D. Vane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Vane

This figure shows the co-authorship network connecting the top 25 collaborators of D. Vane. A scholar is included among the top collaborators of D. Vane 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. Vane. D. Vane 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.
Vane, D., et al.. (2018). CloudSat - Life in Daylight Only Operations (DO-Op). 2018 SpaceOps Conference. 10 indexed citations
2.
Stephens, Graeme L., David M. Winker, Jacques Pelon, et al.. (2017). CloudSat and CALIPSO within the A-Train: Ten Years of Actively Observing the Earth System. Bulletin of the American Meteorological Society. 99(3). 569–581. 184 indexed citations
3.
Su, Hui, Jonathan H. Jiang, J. Teixeira, et al.. (2011). Comparison of regime-sorted tropical cloud profiles observed by CloudSat with GEOS5 analyses and two general circulation model simulations. Journal of Geophysical Research Atmospheres. 116(D9). 31 indexed citations
5.
Su, Hui, Jonathan H. Jiang, Graeme L. Stephens, D. Vane, & N. J. Livesey. (2009). Radiative effects of upper tropospheric clouds observed by Aura MLS and CloudSat. Geophysical Research Letters. 36(9). 18 indexed citations
6.
Waliser, Duane E., Jui‐Lin F. Li, Christopher P. Woods, et al.. (2009). Cloud ice: A climate model challenge with signs and expectations of progress. Journal of Geophysical Research Atmospheres. 114(D8). 320 indexed citations
7.
Kahn, Brian H., M. T. Chahine, Graeme L. Stephens, et al.. (2008). Cloud type comparisons of AIRS, CloudSat, and CALIPSO cloud height and amount. Atmospheric chemistry and physics. 8(5). 1231–1248. 97 indexed citations
8.
Su, Hui, Jonathan H. Jiang, D. Vane, & Graeme L. Stephens. (2008). Observed vertical structure of tropical oceanic clouds sorted in large‐scale regimes. Geophysical Research Letters. 35(24). 41 indexed citations
9.
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
10.
Stephens, Graeme L., D. Vane, Simone Tanelli, et al.. (2008). CloudSat mission: Performance and early science after the first year of operation. Journal of Geophysical Research Atmospheres. 113(D8). 799 indexed citations breakdown →
11.
Wu, Dong L., Jonathan H. Jiang, W. G. Read, et al.. (2008). Validation of the Aura MLS cloud ice water content measurements. Journal of Geophysical Research Atmospheres. 113(D15). 78 indexed citations
12.
Luo, Zhengzhao, et al.. (2008). On the Use of CloudSat and MODIS Data for Estimating Hurricane Intensity. IEEE Geoscience and Remote Sensing Letters. 5(1). 13–16. 31 indexed citations
13.
Woods, Christopher P., Duane E. Waliser, Jui‐Lin F. Li, et al.. (2008). Evaluating CloudSat ice water content retrievals using a cloud‐resolving model: Sensitivities to frozen particle properties. Journal of Geophysical Research Atmospheres. 113(D8). 14 indexed citations
14.
Vane, D.. (2007). Cloud remote sensing from space in the era of the A-Train. Journal of Applied Remote Sensing. 1(1). 13507–13507. 6 indexed citations
15.
Vane, D., et al.. (2006). New observations of hurricanes from the CloudSat radar. AGUFM. 2006. 3 indexed citations
16.
Basilio, Ralph R., E. Im, Mark J. Rokey, & D. Vane. (2006). A spaceborne microwave radar system for looking inside clouds. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6361. 63610D–63610D. 1 indexed citations
17.
Stephens, Graeme L. & D. Vane. (2006). Cloud remote sensing from space in the era of the A-Train. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6359. 635902–635902. 1 indexed citations
18.
Stephens, Graeme L. & D. Vane. (2004). The CloudSat Mission. 2. 1326–1328. 7 indexed citations
19.
Stephens, Graeme L., D. Vane, R. J. Boain, et al.. (2002). THE CLOUDSAT MISSION AND THE A-TRAIN. Bulletin of the American Meteorological Society. 83(12). 1771–1790. 1729 indexed citations breakdown →
20.
Vane, D., et al.. (1985). Earth observing system implementation. 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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