Christopher D. Karstens

1.4k total citations
28 papers, 935 citations indexed

About

Christopher D. Karstens is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Christopher D. Karstens has authored 28 papers receiving a total of 935 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Atmospheric Science, 13 papers in Global and Planetary Change and 6 papers in Environmental Engineering. Recurrent topics in Christopher D. Karstens's work include Meteorological Phenomena and Simulations (19 papers), Climate variability and models (9 papers) and Tropical and Extratropical Cyclones Research (8 papers). Christopher D. Karstens is often cited by papers focused on Meteorological Phenomena and Simulations (19 papers), Climate variability and models (9 papers) and Tropical and Extratropical Cyclones Research (8 papers). Christopher D. Karstens collaborates with scholars based in United States and United Kingdom. Christopher D. Karstens's co-authors include Bruce D. Lee, Catherine A. Finley, Travis M. Smith, Amy McGovern, Ryan Lagerquist, William A. Gallus, Sue Ellen Haupt, John K. Williams, Kimberly L. Elmore and David John Gagne and has published in prestigious journals such as Monthly Weather Review, Bulletin of the American Meteorological Society and Journal of Atmospheric and Oceanic Technology.

In The Last Decade

Christopher D. Karstens

26 papers receiving 909 citations

Peers

Christopher D. Karstens
F. K. Chow United States
Kenneth R. Mylne United Kingdom
Jerald A. Brotzge United States
Daniel Weber Germany
Daran L. Rife United States
Bodo Ritter Germany
Ryan Lagerquist United States
Gregory J. Stumpf United States
Lorenzo Tomassini Germany
Catherine A. Finley United States
F. K. Chow United States
Christopher D. Karstens
Citations per year, relative to Christopher D. Karstens Christopher D. Karstens (= 1×) peers F. K. Chow

Countries citing papers authored by Christopher D. Karstens

Since Specialization
Citations

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

Fields of papers citing papers by Christopher D. Karstens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher D. Karstens

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher D. Karstens. A scholar is included among the top collaborators of Christopher D. Karstens 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 Christopher D. Karstens. Christopher D. Karstens 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.
Harrison, David, Amy McGovern, Christopher D. Karstens, et al.. (2025). An Assessment of How Domain Experts Evaluate Machine Learning in Operational Meteorology. Weather and Forecasting. 40(3). 393–410.
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Clark, Adam J., et al.. (2020). Generating Probabilistic Next-Day Severe Weather Forecasts from Convection-Allowing Ensembles Using Random Forests. Weather and Forecasting. 35(4). 1605–1631. 26 indexed citations
5.
Smith, Bryan T., et al.. (2020). WSR-88D Tornado Intensity Estimates. Part II: Real-Time Applications to Tornado Warning Time Scales. Weather and Forecasting. 35(6). 2493–2506. 12 indexed citations
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Karstens, Christopher D.. (2019). Enhancements to Storm Prediction Center Convective Outlooks. 1 indexed citations
8.
McGovern, Amy, Christopher D. Karstens, Travis M. Smith, & Ryan Lagerquist. (2019). Quasi-Operational Testing of Real-Time Storm-Longevity Prediction via Machine Learning. Weather and Forecasting. 34(5). 1437–1451. 8 indexed citations
9.
Karstens, Christopher D., James Correia, Tiffany C. Meyer, et al.. (2018). Development of a Human–Machine Mix for Forecasting Severe Convective Events. Weather and Forecasting. 33(3). 715–737. 38 indexed citations
10.
Karstens, Christopher D.. (2017). Prototyping a Next-Generation Severe Weather Warning System for FACETs. 1 indexed citations
11.
Karstens, Christopher D., et al.. (2017). An investigation of local and national NWS warning outbreaks for severe convective events.. ValpoScholar (Valparaiso University). 5(2). 14–25. 5 indexed citations
12.
Harrison, David & Christopher D. Karstens. (2016). A Climatology of Operational Storm-Based Warnings: A Geospatial Analysis. Weather and Forecasting. 32(1). 47–60. 26 indexed citations
13.
Johnson, Aaron, Xuguang Wang, Jacob R. Carley, Louis J. Wicker, & Christopher D. Karstens. (2015). A Comparison of Multiscale GSI-Based EnKF and 3DVar Data Assimilation Using Radar and Conventional Observations for Midlatitude Convective-Scale Precipitation Forecasts. Monthly Weather Review. 143(8). 3087–3108. 116 indexed citations
14.
Lakshmanan, Valliappa, et al.. (2015). Which Polarimetric Variables Are Important for Weather/No-Weather Discrimination?. Journal of Atmospheric and Oceanic Technology. 32(6). 1209–1223. 38 indexed citations
15.
Karstens, Christopher D., Chen Ling, Darrel M. Kingfield, et al.. (2015). Evaluation of a Probabilistic Forecasting Methodology for Severe Convective Weather in the 2014 Hazardous Weather Testbed. Weather and Forecasting. 30(6). 1551–1570. 54 indexed citations
16.
Rothfusz, Lans P., et al.. (2014). Next‐Generation Severe Weather Forecasting and Communication. Eos. 95(36). 325–326. 28 indexed citations
17.
Karstens, Christopher D., William A. Gallus, Bruce D. Lee, & Catherine A. Finley. (2013). Analysis of Tornado-Induced Tree Fall Using Aerial Photography from the Joplin, Missouri, and Tuscaloosa–Birmingham, Alabama, Tornadoes of 2011. Journal of Applied Meteorology and Climatology. 52(5). 1049–1068. 65 indexed citations
18.
Lee, Bruce D., Catherine A. Finley, & Christopher D. Karstens. (2012). The Bowdle, South Dakota, Cyclic Tornadic Supercell of 22 May 2010: Surface Analysis of Rear-Flank Downdraft Evolution and Multiple Internal Surges. Monthly Weather Review. 140(11). 3419–3441. 57 indexed citations
19.
Karstens, Christopher D.. (2010). Analysis of near-surface wind flow in close proximity to tornadoes. 2 indexed citations
20.
Karstens, Christopher D., et al.. (2008). TWISTEX 2008: IN SITU AND MOBILE MESONET OBSERVATIONS OF TORNADOES. 2 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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