Steven Greco

2.4k total citations
37 papers, 1.7k citations indexed

About

Steven Greco is a scholar working on Global and Planetary Change, Atmospheric Science and Earth-Surface Processes. According to data from OpenAlex, Steven Greco has authored 37 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Global and Planetary Change, 26 papers in Atmospheric Science and 8 papers in Earth-Surface Processes. Recurrent topics in Steven Greco's work include Atmospheric aerosols and clouds (20 papers), Meteorological Phenomena and Simulations (16 papers) and Climate variability and models (12 papers). Steven Greco is often cited by papers focused on Atmospheric aerosols and clouds (20 papers), Meteorological Phenomena and Simulations (16 papers) and Climate variability and models (12 papers). Steven Greco collaborates with scholars based in United States, Australia and United Kingdom. Steven Greco's co-authors include Robert Swap, P. Kållberg, M. Garstang, R. W. Talbot, Michael Garstang, John R. Scala, G. D. Emmitt, Daniel Cadet, Jeffrey B. Halverson and E. V. Browell and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and PLoS ONE.

In The Last Decade

Steven Greco

36 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steven Greco United States 19 1.3k 1.2k 392 146 141 37 1.7k
Sebastian Engelstaedter United Kingdom 20 2.3k 1.7× 2.0k 1.6× 1.1k 2.8× 142 1.0× 293 2.1× 37 2.8k
S. L. Gong China 16 2.5k 1.9× 2.1k 1.7× 594 1.5× 76 0.5× 114 0.8× 19 2.8k
Yann Callot France 11 756 0.6× 425 0.3× 567 1.4× 134 0.9× 70 0.5× 33 1.1k
Ruby T. Nees United States 8 1.0k 0.8× 665 0.5× 362 0.9× 62 0.4× 166 1.2× 8 1.3k
Martin C. Todd United Kingdom 29 3.1k 2.4× 3.1k 2.5× 1.4k 3.5× 124 0.8× 170 1.2× 44 3.9k
Nathalie de Noblet France 11 1.1k 0.8× 1.2k 0.9× 142 0.4× 310 2.1× 114 0.8× 19 1.7k
Ron Kahana United Kingdom 15 674 0.5× 606 0.5× 143 0.4× 163 1.1× 230 1.6× 25 1.3k
Bruno Wilhelm France 23 995 0.8× 258 0.2× 434 1.1× 289 2.0× 99 0.7× 48 1.4k
S. O. Krichak Israel 25 1.7k 1.3× 1.9k 1.5× 164 0.4× 51 0.3× 246 1.7× 43 2.1k
H. Wanner Switzerland 14 1.7k 1.3× 1.7k 1.4× 69 0.2× 129 0.9× 130 0.9× 16 2.1k

Countries citing papers authored by Steven Greco

Since Specialization
Citations

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

Fields of papers citing papers by Steven Greco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steven Greco

This figure shows the co-authorship network connecting the top 25 collaborators of Steven Greco. A scholar is included among the top collaborators of Steven Greco 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 Steven Greco. Steven Greco 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.
Bedka, Kristopher M., Amin R. Nehrir, Michael J. Kavaya, et al.. (2021). Airborne lidar observations of wind, water vapor, and aerosol profiles during the NASA Aeolus calibration and validation (Cal/Val) test flight campaign. Atmospheric measurement techniques. 14(6). 4305–4334. 22 indexed citations
2.
Turk, F. Joseph, Svetla Hristova‐Veleva, Stephen L. Durden, et al.. (2020). Joint analysis of convective structure from the APR-2 precipitation radar and the DAWN Doppler wind lidar during the 2017 Convective Processes Experiment (CPEX). Atmospheric measurement techniques. 13(8). 4521–4537. 8 indexed citations
3.
Greco, Steven, G. D. Emmitt, Michael Garstang, & Michael J. Kavaya. (2020). Doppler Aerosol WiNd (DAWN) Lidar during CPEX 2017: Instrument Performance and Data Utility. Remote Sensing. 12(18). 2951–2951. 6 indexed citations
5.
Greco, Steven. (2019). Doppler Aerosol WiNd (DAWN) Lidar from CPEX 2017: Convective Process Studies and Comparisons with Other Wind Measurement Sensors and Numerical Models. 1 indexed citations
6.
Greco, Steven. (2017). Recent Airborne Doppler Wind Lidar Investigations of Lower Troposphere Circulations from the Tropics to the Poles. 1 indexed citations
7.
DuVivier, Alice K., John J. Cassano, Steven Greco, & G. D. Emmitt. (2017). A Case Study of Observed and Modeled Barrier Flow in the Denmark Strait in May 2015. Monthly Weather Review. 145(6). 2385–2404. 8 indexed citations
8.
Atlas, Robert, Ross N. Hoffman, Zaizhong Ma, et al.. (2015). Observing System Simulation Experiments (OSSEs) to Evaluate the Potential Impact of an Optical Autocovariance Wind Lidar (OAWL) on Numerical Weather Prediction. Journal of Atmospheric and Oceanic Technology. 32(9). 1593–1613. 36 indexed citations
9.
Garstang, Michael, Robert E. Davis, Keith Leggett, et al.. (2014). Response of African Elephants (Loxodonta africana) to Seasonal Changes in Rainfall. PLoS ONE. 9(10). e108736–e108736. 23 indexed citations
10.
Emmitt, G. D., et al.. (2013). Investigating the impacts of LLJs and OLEs on ABL exchanges and transports using an airborne Doppler wind lidar. AGUFM. 2013.
11.
Wekker, Stephan F. J. De, et al.. (2012). Airborne Doppler Lidar Measurements of Valley Flows in Complex Coastal Terrain. Journal of Applied Meteorology and Climatology. 51(8). 1558–1574. 19 indexed citations
12.
Garstang, Michael, Robert E. Davis, Bruce P. Hayden, et al.. (2011). On the coupling between vegetation and the atmosphere. Theoretical and Applied Climatology. 105(1-2). 243–261. 40 indexed citations
13.
Masutani, Michiko, John S. Woollen, Stephen J. Lord, et al.. (2010). Observing system simulation experiments at the National Centers for Environmental Prediction. Journal of Geophysical Research Atmospheres. 115(D7). 70 indexed citations
15.
Masutani, Michiko, John S. Woollen, Stephen J. Lord, et al.. (2006). Observing system simulation experiments at NCEP. 15 indexed citations
16.
Swap, Robert, Steven Greco, Stuart Piketh, et al.. (2003). Haze layer characterization and associated meteorological controls along the eastern coastal region of southern Africa. Journal of Geophysical Research Atmospheres. 108(D13). 27 indexed citations
17.
Greco, Steven, et al.. (1994). NASA's Pathfinder data set programme: land surface parameters. International Journal of Remote Sensing. 15(17). 3333–3345. 20 indexed citations
18.
Greco, Steven, et al.. (1994). Amazon Coastal Squall Lines. Part II: Heat and Moisture Transports. Monthly Weather Review. 122(4). 623–635. 30 indexed citations
19.
Garstang, Michael, Steven Greco, John R. Scala, et al.. (1990). The Amazon Boundary-Layer Experiment (ABLE 2B): A Meteorological Perspective. Bulletin of the American Meteorological Society. 71(1). 19–32. 49 indexed citations
20.
Martin, Charles L., David R. Fitzjarrald, Michael Garstang, et al.. (1988). Structure and growth of the mixing layer over the Amazonian rain forest. Journal of Geophysical Research Atmospheres. 93(D2). 1361–1375. 81 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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