Stephen W. Nesbitt

7.9k total citations · 2 hit papers
112 papers, 5.6k citations indexed

About

Stephen W. Nesbitt is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Stephen W. Nesbitt has authored 112 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 98 papers in Atmospheric Science, 76 papers in Global and Planetary Change and 9 papers in Oceanography. Recurrent topics in Stephen W. Nesbitt's work include Meteorological Phenomena and Simulations (81 papers), Precipitation Measurement and Analysis (51 papers) and Climate variability and models (51 papers). Stephen W. Nesbitt is often cited by papers focused on Meteorological Phenomena and Simulations (81 papers), Precipitation Measurement and Analysis (51 papers) and Climate variability and models (51 papers). Stephen W. Nesbitt collaborates with scholars based in United States, Argentina and United Kingdom. Stephen W. Nesbitt's co-authors include Edward J. Zipser, Daniel J. Cecil, Chuntao Liu, Robert Cifelli, David P. Yorty, E. J. Zipser, Steven A. Rutledge, Robert J. Trapp, Timothy J. Lang and Alison M. Anders and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and Journal of Climate.

In The Last Decade

Stephen W. Nesbitt

106 papers receiving 5.5k citations

Hit Papers

WHERE ARE THE MOST INTENSE THUNDERSTORMS ON EARTH? 2003 2026 2010 2018 2006 2003 250 500 750

Peers

Stephen W. Nesbitt
Daniel J. Cecil United States
Walter A. Petersen United States
Andrea Molod United States
Mark Iredell United States
John Edwards United Kingdom
Sandra E. Yuter United States
K. A. Browning United Kingdom
Robert Cifelli United States
Melville E. Nicholls United States
Daniel J. Cecil United States
Stephen W. Nesbitt
Citations per year, relative to Stephen W. Nesbitt Stephen W. Nesbitt (= 1×) peers Daniel J. Cecil

Countries citing papers authored by Stephen W. Nesbitt

Since Specialization
Citations

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

Fields of papers citing papers by Stephen W. Nesbitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen W. Nesbitt. 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 Stephen W. Nesbitt. The network helps show where Stephen W. Nesbitt may publish in the future.

Co-authorship network of co-authors of Stephen W. Nesbitt

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen W. Nesbitt. A scholar is included among the top collaborators of Stephen W. Nesbitt 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 Stephen W. Nesbitt. Stephen W. Nesbitt 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.
Lee, Jangho, Aaron I. Packman, Stephen W. Nesbitt, et al.. (2025). Comparing multi-source urban flood indicators: satellite, simulation, and citizen-reported data. SHILAP Revista de lepidopterología. 1(3). 35007–35007.
2.
Girolamo, Larry Di, et al.. (2024). Observations of the macrophysical properties of cumulus cloud fields over the tropical western Pacific and their connection to meteorological variables. Atmospheric chemistry and physics. 24(9). 5603–5623. 2 indexed citations
3.
Trapp, Robert J., et al.. (2024). The Observed Impact of the Lower Stratospheric Thermodynamic Environment on Overshooting Top Characteristics During the RELAMPAGO‐CACTI Field Campaign. Journal of Geophysical Research Atmospheres. 129(10). 3 indexed citations
5.
Girolamo, Larry Di, Robert M. Rauber, Greg M. McFarquhar, et al.. (2022). An evaluation of the liquid cloud droplet effective radius derived from MODIS, airborne remote sensing, and in situ measurements from CAMP 2 Ex. Atmospheric chemistry and physics. 22(12). 8259–8285. 17 indexed citations
6.
Priftis, George, et al.. (2021). Evaluating the Detection of Mesoscale Outflow Boundaries Using Scatterometer Winds at Different Spatial Resolutions. Remote Sensing. 13(7). 1334–1334. 3 indexed citations
8.
Borque, Paloma, et al.. (2020). Distinctive Signals in 1‐min Observations of Overshooting Tops and Lightning Activity in a Severe Supercell Thunderstorm. Journal of Geophysical Research Atmospheres. 125(20). 16 indexed citations
9.
Nesbitt, Stephen W., et al.. (2020). Identifying and Characterizing Tropical Oceanic Mesoscale Cold Pools using Spaceborne Scatterometer Winds. Journal of Geophysical Research Atmospheres. 125(5). 15 indexed citations
10.
Tridon, Frédéric, Alessandro Battaglia, Randy J. Chase, et al.. (2019). The Microphysics of Stratiform Precipitation During OLYMPEX: Compatibility Between Triple‐Frequency Radar and Airborne In Situ Observations. Journal of Geophysical Research Atmospheres. 124(15). 8764–8792. 61 indexed citations
11.
Trapp, Robert J., et al.. (2019). Using Overshooting Top Area to Discriminate Potential for Large, Intense Tornadoes. Geophysical Research Letters. 46(21). 12520–12526. 36 indexed citations
12.
Varble, Adam, Joseph Hardin, Nitin Bharadwaj, et al.. (2019). Sensitivity of deep convective upscale growth to precipitation properties and ambient environmental conditions during the CACTI field campaign. AGU Fall Meeting Abstracts. 2019. 1 indexed citations
13.
Nesbitt, Stephen W.. (2018). Understanding Processes and Improving Predictions of Hydrometeorological Extremes in Subtropical South America: Proyecto RELAMPAGO-CACTI. 1 indexed citations
14.
Barros, Ana P., Walter A. Petersen, Theresa Lang, et al.. (2014). IPHEx 2014: Observations of Orographic Precipitation Processes in the Southern Appalachians. AGU Fall Meeting Abstracts. 2014. 1 indexed citations
15.
Nesbitt, Stephen W., et al.. (2013). In Situ Microphysical and Scattering Properties of Falling Snow in GPM-GCPEx. AGU Fall Meeting Abstracts. 2013. 1 indexed citations
16.
Rutledge, Steven A., Robert Cifelli, T. J. Lang, & Stephen W. Nesbitt. (2009). Contrasting Tropical Rainfall Regimes Using TRMM and Ground-Based Polarimetric Radar. EGUGA. 6326. 1 indexed citations
17.
Gochis, David, Stephen W. Nesbitt, Wei Yu, & Steve Williams. (2009). Comparison of gauge-corrected versus non-gauge corrected satellite-based quantitative precipitation estimates during the 2004 NAME enhanced observing period. Atmósfera. 22(1). 69–98. 17 indexed citations
18.
Liu, Chuntao, Edward J. Zipser, Daniel J. Cecil, Stephen W. Nesbitt, & Steven C. Sherwood. (2008). A Cloud and Precipitation Feature Database from Nine Years of TRMM Observations. Journal of Applied Meteorology and Climatology. 47(10). 2712–2728. 319 indexed citations
19.
Peters, Ole, J. David Neelin, & Stephen W. Nesbitt. (2008). Mesoscale convective systems and critical clusters. AGU Spring Meeting Abstracts. 2008. 1 indexed citations
20.
Zipser, E. J., Daniel J. Cecil, Chuntao Liu, Stephen W. Nesbitt, & David P. Yorty. (2006). WHERE ARE THE MOST INTENSE THUNDERSTORMS ON EARTH?. Bulletin of the American Meteorological Society. 87(8). 1057–1072. 781 indexed citations breakdown →

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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