David J. Stensrud

9.4k total citations
164 papers, 7.5k citations indexed

About

David J. Stensrud is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, David J. Stensrud has authored 164 papers receiving a total of 7.5k indexed citations (citations by other indexed papers that have themselves been cited), including 150 papers in Atmospheric Science, 142 papers in Global and Planetary Change and 37 papers in Environmental Engineering. Recurrent topics in David J. Stensrud's work include Meteorological Phenomena and Simulations (147 papers), Climate variability and models (133 papers) and Tropical and Extratropical Cyclones Research (37 papers). David J. Stensrud is often cited by papers focused on Meteorological Phenomena and Simulations (147 papers), Climate variability and models (133 papers) and Tropical and Extratropical Cyclones Research (37 papers). David J. Stensrud collaborates with scholars based in United States, Tunisia and Spain. David J. Stensrud's co-authors include Nusrat Yussouf, Michael C. Coniglio, Jidong Gao, Harold E. Brooks, Jian‐Wen Bao, Louis J. Wicker, Thomas T. Warner, Ming Xue, Thomas A. Jones and J. Michael Fritsch and has published in prestigious journals such as Journal of Climate, Geophysical Research Letters and Journal of the Atmospheric Sciences.

In The Last Decade

David J. Stensrud

161 papers receiving 7.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David J. Stensrud United States 48 6.7k 6.4k 1.3k 349 197 164 7.5k
Zavisă Janjić United States 23 5.6k 0.8× 5.2k 0.8× 1.2k 0.9× 554 1.6× 338 1.7× 55 6.4k
John S. Kain United States 35 8.5k 1.3× 7.8k 1.2× 1.4k 1.0× 656 1.9× 252 1.3× 60 9.0k
Georg Grell United States 42 12.2k 1.8× 10.3k 1.6× 2.3k 1.7× 436 1.2× 246 1.2× 119 13.6k
Elizabeth E. Ebert Australia 38 6.0k 0.9× 4.7k 0.7× 947 0.7× 353 1.0× 388 2.0× 94 6.8k
Song-You Hong South Korea 8 9.0k 1.3× 8.0k 1.2× 1.6k 1.2× 950 2.7× 218 1.1× 8 9.7k
Song‐You Hong South Korea 46 7.2k 1.1× 6.9k 1.1× 970 0.7× 869 2.5× 414 2.1× 178 8.0k
Arlindo da Silva United States 43 6.6k 1.0× 6.4k 1.0× 932 0.7× 981 2.8× 184 0.9× 150 8.0k
Charles A. Doswell United States 49 7.6k 1.1× 7.0k 1.1× 1.5k 1.1× 283 0.8× 246 1.2× 133 8.7k
B. Klemp 3 7.0k 1.0× 5.9k 0.9× 1.7k 1.3× 903 2.6× 280 1.4× 4 8.5k
Jordi Vilà-Guerau De Arellano Netherlands 42 4.6k 0.7× 4.7k 0.7× 1.8k 1.3× 294 0.8× 265 1.3× 203 6.5k

Countries citing papers authored by David J. Stensrud

Since Specialization
Citations

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

Fields of papers citing papers by David J. Stensrud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David J. Stensrud. 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 David J. Stensrud. The network helps show where David J. Stensrud may publish in the future.

Co-authorship network of co-authors of David J. Stensrud

This figure shows the co-authorship network connecting the top 25 collaborators of David J. Stensrud. A scholar is included among the top collaborators of David J. Stensrud 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 David J. Stensrud. David J. Stensrud 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.
Zhang, Yunji, Xingchao Chen, David J. Stensrud, & Eugene E. Clothiaux. (2024). Enhancing Severe Weather Prediction With Microwave All‐Sky Radiance Assimilation: The 10 August 2020 Midwest Derecho. Geophysical Research Letters. 51(2).
2.
Stensrud, David J., et al.. (2024). An Investigation of Convective Boundary Layer Depth and Entrainment Zone Properties Using Dual-Polarization Radar and Balloon-Borne Observations. Journal of Atmospheric and Oceanic Technology. 41(12). 1213–1228. 1 indexed citations
3.
Stensrud, David J., et al.. (2023). Diagnosing Factors Leading to an Incorrect Supercell Thunderstorm Forecast. Weather and Forecasting. 38(10). 1935–1951.
4.
Markowski, Paul, et al.. (2020). The Orinoco Low‐Level Jet: An Investigation of Its Mechanisms of Formation Using the WRF Model. Journal of Geophysical Research Atmospheres. 125(13). 17 indexed citations
5.
Homar, V., et al.. (2020). Tailored Ensemble Prediction Systems: Application of Seamless Scale Bred Vectors. Journal of the Meteorological Society of Japan Ser II. 98(5). 1029–1050. 4 indexed citations
7.
Zhu, Tieyuan & David J. Stensrud. (2019). Characterizing Thunder‐Induced Ground Motions Using Fiber‐Optic Distributed Acoustic Sensing Array. Journal of Geophysical Research Atmospheres. 124(23). 12810–12823. 59 indexed citations
8.
Trapp, Robert J., David J. Stensrud, Michael C. Coniglio, et al.. (2015). Mobile Radiosonde Deployments during the Mesoscale Predictability Experiment (MPEX): Rapid and Adaptive Sampling of Upscale Convective Feedbacks. Bulletin of the American Meteorological Society. 97(3). 329–336. 19 indexed citations
9.
Stensrud, David J., et al.. (2015). Assimilation of Cloud-Top Temperature and Radar Observations of an Idealized Splitting Supercell Using an Observing System Simulation Experiment. Monthly Weather Review. 143(4). 1018–1034. 18 indexed citations
10.
Stensrud, David J.. (2012). Progress and Challenges with Warn-on-Forecast. 3 indexed citations
11.
Wheatley, Dustan M. & David J. Stensrud. (2009). The Impact of Assimilating Surface Pressure Observations on Severe Weather Events in a WRF Mesoscale Ensemble System. Monthly Weather Review. 138(5). 1673–1694. 34 indexed citations
12.
Stensrud, David J., Nusrat Yussouf, David C. Dowell, & Michael C. Coniglio. (2008). Assimilating surface data into a mesoscale model ensemble: Cold pool analyses from spring 2007. Atmospheric Research. 93(1-3). 207–220. 31 indexed citations
13.
Stensrud, David J.. (2007). Parameterization Schemes. Cambridge University Press eBooks. 206 indexed citations
14.
Levit, Jason J., David J. Stensrud, David R. Bright, & Steven J. Weiss. (2004). Evaluation of short-range ensemble forecasts during the SPC/NSSL 2003 spring program. Bulletin of the American Meteorological Society. 2405–2408. 2 indexed citations
15.
Schultz, David M., et al.. (2004). Snowbands during the Cold-Air Outbreak of 23 January 2003. Monthly Weather Review. 132(3). 827–842. 32 indexed citations
16.
Higgins, R. Wayne, Andrea N. Hahmann, Ernesto Hugo Berbery, et al.. (2003). Progress in Pan American CLIVAR research: The North American monsoon system. 16(1). 29–65. 67 indexed citations
17.
Marshall, Curtis H., Kenneth Crawford, Kenneth E. Mitchell, & David J. Stensrud. (2003). The Impact of the Land Surface Physics in the Operational NCEP Eta Model on Simulating the Diurnal Cycle: Evaluation and Testing Using Oklahoma Mesonet Data. Weather and Forecasting. 18(5). 748–768. 31 indexed citations
18.
Coniglio, Michael C. & David J. Stensrud. (2001). Simulation of a Progressive Derecho Using Composite Initial Conditions. Monthly Weather Review. 129(7). 1593–1616. 53 indexed citations
19.
Spencer, Phillip L. & David J. Stensrud. (1998). Simulating Flash Flood Events: Importance of the Subgrid Representation of Convection. Monthly Weather Review. 126(11). 2884–2912. 36 indexed citations
20.
Douglas, Michael W. & David J. Stensrud. (1996). Upgrading the North American Upper-Air Observing Network: What are the Possibilities?. Bulletin of the American Meteorological Society. 77(5). 907–924. 8 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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