Corey K. Potvin

1.6k total citations
58 papers, 1.2k citations indexed

About

Corey K. Potvin is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Corey K. Potvin has authored 58 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Atmospheric Science, 40 papers in Global and Planetary Change and 17 papers in Environmental Engineering. Recurrent topics in Corey K. Potvin's work include Meteorological Phenomena and Simulations (55 papers), Climate variability and models (35 papers) and Wind and Air Flow Studies (16 papers). Corey K. Potvin is often cited by papers focused on Meteorological Phenomena and Simulations (55 papers), Climate variability and models (35 papers) and Wind and Air Flow Studies (16 papers). Corey K. Potvin collaborates with scholars based in United States, Australia and Canada. Corey K. Potvin's co-authors include Alan Shapiro, Montgomery L. Flora, Louis J. Wicker, Kimberly L. Elmore, Patrick S. Skinner, Jidong Gao, Steven J. Weiss, Ming Xue, Harold E. Brooks and Michael I. Biggerstaff and has published in prestigious journals such as SHILAP Revista de lepidopterología, Geophysical Research Letters and Journal of the Atmospheric Sciences.

In The Last Decade

Corey K. Potvin

56 papers receiving 1.2k citations

Peers

Corey K. Potvin

GPC

OCEAN

Daniel Reinert Germany

Masaru Kunii Japan

Ross Bannister United Kingdom

Bruce Macpherson United Kingdom

Didier Ricard France

Kyung-Eak Kim South Korea

Daryl Kleist United States

Meta Sienkiewicz United States

Matthew J. Bunkers United States

Daniel T. Dawson United States

Daniel Reinert Germany

Corey K. Potvin

781 ×0.7

670 ×0.7

GPC

101 ×0.4

80 ×1.0

88 ×1.3

OCEAN

Citations per year, relative to Corey K. Potvin Corey K. Potvin (= 1×) peers Daniel Reinert

Countries citing papers authored by Corey K. Potvin

Since Specialization

Citations

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

Fields of papers citing papers by Corey K. Potvin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Corey K. Potvin. 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 Corey K. Potvin. The network helps show where Corey K. Potvin may publish in the future.

Co-authorship network of co-authors of Corey K. Potvin

This figure shows the co-authorship network connecting the top 25 collaborators of Corey K. Potvin. A scholar is included among the top collaborators of Corey K. Potvin 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 Corey K. Potvin. Corey K. Potvin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Flora, Montgomery L. & Corey K. Potvin. (2025). WoFSCast: A Machine Learning Model for Predicting Thunderstorms at Watch‐to‐Warning Scales. Geophysical Research Letters. 52(10). 1 indexed citations

Chase, Randy J., Amy McGovern, Cameron R. Homeyer, Peter J. Marinescu, & Corey K. Potvin. (2024). Machine Learning Estimation of Maximum Vertical Velocity from Radar. NOAA Institutional Repository. 3(2). 1 indexed citations

Schmidt, T., Amy McGovern, John T. Allen, et al.. (2024). Gridded Severe Hail Nowcasting Using 3D U-Nets, Lightning Observations, and the Warn-on-Forecast System. 3(4). 1 indexed citations

Potvin, Corey K., et al.. (2024). Decoding the Atmosphere: Optimising Probabilistic Forecasts with Information Gain. SHILAP Revista de lepidopterología. 3(2). 212–231.

Protat, Alain, et al.. (2023). The Effects of Spatial Interpolation on a Novel, Dual-Doppler 3D Wind Retrieval Technique. Journal of Atmospheric and Oceanic Technology. 40(10). 1325–1347. 1 indexed citations

Bunkers, Matthew J., et al.. (2023). Comment–Reply Exchanges: Trends and Suggestions. Weather and Forecasting. 38(5). 633–636. 1 indexed citations

Potvin, Corey K., et al.. (2022). Testing the Feature Alignment Technique (FAT) in an Ensemble-Based Data Assimilation and Forecast System with Multiple-Storm Scenarios. Monthly Weather Review. 150(8). 2033–2054.

Flora, Montgomery L., Corey K. Potvin, Patrick S. Skinner, & Amy McGovern. (2020). Using Machine Learning to Improve Storm-Scale 1-h Probabilistic Forecasts of Severe Weather. 1 indexed citations

Homeyer, Cameron R., et al.. (2020). Distinguishing Characteristics of Tornadic and Nontornadic Supercell Storms from Composite Mean Analyses of Radar Observations. Monthly Weather Review. 148(12). 5015–5040. 22 indexed citations

10.

Jackson, Robert, Scott Collis, Timothy J. Lang, Corey K. Potvin, & Todd Munson. (2019). PyDDA: A new Pythonic Wind Retrieval Package. Proceedings of the Python in Science Conferences. 111–117. 3 indexed citations

11.

Potvin, Corey K.. (2018). Inter-model Storm-Scale Comparisons from the 2017 HWT Spring Forecasting Experiment. 1 indexed citations

12.

North, Kirk, Mariko Oue, Pavlos Kollias, et al.. (2017). Vertical air motion retrievals in deep convective clouds using the ARM scanning radar network in Oklahoma during MC3E. Atmospheric measurement techniques. 10(8). 2785–2806. 34 indexed citations

13.

MacGorman, Donald R., et al.. (2016). An overview of the 29 May 2012 Kingfisher supercell during DC3. Journal of Geophysical Research Atmospheres. 121(24). 42 indexed citations

14.

Skinner, Patrick S., Christopher C. Weiss, Louis J. Wicker, Corey K. Potvin, & David C. Dowell. (2015). Forcing Mechanisms for an Internal Rear-Flank Downdraft Momentum Surge in the 18 May 2010 Dumas, Texas, Supercell. Monthly Weather Review. 143(11). 4305–4330. 16 indexed citations

15.

Potvin, Corey K. & Louis J. Wicker. (2013). Correcting Fast-Mode Pressure Errors in Storm-Scale Ensemble Kalman Filter Analyses. Advances in Meteorology. 2013. 1–14. 5 indexed citations

16.

Potvin, Corey K., Louis J. Wicker, & Alan Shapiro. (2012). Assessing Errors in Variational Dual-Doppler Wind Syntheses of Supercell Thunderstorms Observed by Storm-Scale Mobile Radars. Journal of Atmospheric and Oceanic Technology. 29(8). 1009–1025. 36 indexed citations

17.

Stensrud, David J., Louis J. Wicker, Ming Xue, et al.. (2012). Progress and challenges with Warn-on-Forecast. Atmospheric Research. 123. 2–16. 173 indexed citations

18.

Lakshmanan, Valliappa, et al.. (2012). An Improved Method for Estimating Radar Echo-Top Height. Weather and Forecasting. 28(2). 481–488. 42 indexed citations

19.

Potvin, Corey K., Alan Shapiro, Michael I. Biggerstaff, & Joshua Wurman. (2011). The VDAC Technique: A Variational Method for Detecting and Characterizing Convective Vortices in Multiple-Doppler Radar Data. Monthly Weather Review. 139(8). 2593–2613. 6 indexed citations

20.

Potvin, Corey K.. (2006). Using a low-order model to detect and characterize tornadoes in multiple-Doppler radar data. 11 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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