Ryan A. Sobash

2.2k total citations
41 papers, 1.4k citations indexed

About

Ryan A. Sobash is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Ryan A. Sobash has authored 41 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Atmospheric Science, 36 papers in Global and Planetary Change and 8 papers in Environmental Engineering. Recurrent topics in Ryan A. Sobash's work include Meteorological Phenomena and Simulations (38 papers), Climate variability and models (33 papers) and Tropical and Extratropical Cyclones Research (10 papers). Ryan A. Sobash is often cited by papers focused on Meteorological Phenomena and Simulations (38 papers), Climate variability and models (33 papers) and Tropical and Extratropical Cyclones Research (10 papers). Ryan A. Sobash collaborates with scholars based in United States, Finland and Ireland. Ryan A. Sobash's co-authors include Craig S. Schwartz, Glen S. Romine, Morris L. Weisman, Kathryn R. Fossell, John S. Kain, David J. Stensrud, Steven J. Weiss, David John Gagne, Ming Xue and Michael C. Coniglio 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

Ryan A. Sobash

41 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ryan A. Sobash United States 22 1.3k 1.2k 278 34 25 41 1.4k
Nusrat Yussouf United States 23 1.3k 1.0× 1.2k 1.0× 258 0.9× 26 0.8× 15 0.6× 46 1.3k
Jason J. Levit United States 13 1.4k 1.1× 1.3k 1.1× 232 0.8× 31 0.9× 13 0.5× 19 1.5k
Thomas Auligné United States 18 1.0k 0.8× 981 0.8× 193 0.7× 87 2.6× 57 2.3× 31 1.2k
Glen S. Romine United States 20 1.2k 0.9× 1.1k 0.9× 242 0.9× 41 1.2× 9 0.4× 44 1.3k
Sue Ballard United Kingdom 11 951 0.7× 856 0.7× 159 0.6× 75 2.2× 15 0.6× 14 1.0k
Matthew J. Bunkers United States 14 806 0.6× 767 0.6× 149 0.5× 40 1.2× 14 0.6× 36 964
Youssef Wehbe United Arab Emirates 16 524 0.4× 554 0.5× 157 0.6× 37 1.1× 21 0.8× 31 718
Nathan Snook United States 16 979 0.8× 875 0.7× 178 0.6× 24 0.7× 12 0.5× 27 1.0k
G. G. Carrió United States 14 1.5k 1.1× 1.4k 1.2× 196 0.7× 87 2.6× 15 0.6× 26 1.6k
Ross Bannister United Kingdom 10 886 0.7× 792 0.6× 196 0.7× 117 3.4× 30 1.2× 32 986

Countries citing papers authored by Ryan A. Sobash

Since Specialization
Citations

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

Fields of papers citing papers by Ryan A. Sobash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan A. Sobash. 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 Ryan A. Sobash. The network helps show where Ryan A. Sobash may publish in the future.

Co-authorship network of co-authors of Ryan A. Sobash

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan A. Sobash. A scholar is included among the top collaborators of Ryan A. Sobash 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 Ryan A. Sobash. Ryan A. Sobash 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.
Cains, Mariana G., Christopher D. Wirz, Julie L. Demuth, et al.. (2024). Exploring NWS Forecasters’ Assessment of AI Guidance Trustworthiness. Weather and Forecasting. 39(8). 1219–1241. 6 indexed citations
2.
3.
Sobash, Ryan A. & David Ahijevych. (2024). Evaluating Machine Learning–Based Probabilistic Convective Hazard Forecasts Using The HRRR: Quantifying Hazard Predictability and Sensitivity to Training Choices. Weather and Forecasting. 39(10). 1399–1415. 1 indexed citations
4.
Jensen, Anders A., James O. Pinto, Sean Bailey, et al.. (2022). Assimilation of a Coordinated Fleet of Uncrewed Aircraft System Observations in Complex Terrain: Observing System Experiments. Monthly Weather Review. 150(10). 2737–2763. 7 indexed citations
5.
Weisman, Morris L., Kevin W. Manning, Ryan A. Sobash, & Craig S. Schwartz. (2022). Simulations of Severe Convective Systems Using 1- versus 3-km Grid Spacing. Weather and Forecasting. 38(3). 401–423. 11 indexed citations
6.
Potvin, Corey K., Burkely T. Gallo, Anthony E. Reinhart, et al.. (2022). An Iterative Storm Segmentation and Classification Algorithm for Convection-Allowing Models and Gridded Radar Analyses. Journal of Atmospheric and Oceanic Technology. 39(7). 999–1013. 7 indexed citations
7.
Schwartz, Craig S., et al.. (2020). Initial Conditions for Convection-Allowing Ensembles over the Conterminous United States. Monthly Weather Review. 148(7). 2645–2669. 15 indexed citations
8.
Trier, Stanley B., Glen S. Romine, David Ahijevych, & Ryan A. Sobash. (2019). Lower-Tropospheric Influences on the Timing and Intensity of Afternoon Severe Convection over Modest Terrain in a Convection-Allowing Ensemble. Weather and Forecasting. 34(6). 1633–1656. 3 indexed citations
9.
Sobash, Ryan A. & John S. Kain. (2017). Seasonal Variations in Severe Weather Forecast Skill in an Experimental Convection-Allowing Model. Weather and Forecasting. 32(5). 1885–1902. 21 indexed citations
10.
Schwartz, Craig S. & Ryan A. Sobash. (2017). Generating Probabilistic Forecasts from Convection-Allowing Ensembles Using Neighborhood Approaches: A Review and Recommendations. Monthly Weather Review. 145(9). 3397–3418. 130 indexed citations
11.
Gagne, David John, Amy McGovern, Sue Ellen Haupt, et al.. (2017). Storm-Based Probabilistic Hail Forecasting with Machine Learning Applied to Convection-Allowing Ensembles. Weather and Forecasting. 32(5). 1819–1840. 134 indexed citations
12.
Poterjoy, Jonathan, J. G. Anderson, & Ryan A. Sobash. (2016). Convective-scale data assimilation in the Weather Research and Forecasting model using a nonlinear ensemble filter. EGUGA. 1 indexed citations
13.
Sobash, Ryan A., Glen S. Romine, Craig S. Schwartz, David John Gagne, & Morris L. Weisman. (2016). Explicit Forecasts of Low-Level Rotation from Convection-Allowing Models for Next-Day Tornado Prediction. Weather and Forecasting. 31(5). 1591–1614. 44 indexed citations
14.
Sobash, Ryan A., Craig S. Schwartz, Glen S. Romine, Kathryn R. Fossell, & Morris L. Weisman. (2015). Severe Weather Prediction Using Storm Surrogates from an Ensemble Forecasting System. Weather and Forecasting. 31(1). 255–271. 72 indexed citations
15.
Schwartz, Craig S., Glen S. Romine, Ryan A. Sobash, Kathryn R. Fossell, & Morris L. Weisman. (2015). NCAR’s Experimental Real-Time Convection-Allowing Ensemble Prediction System. Weather and Forecasting. 30(6). 1645–1654. 122 indexed citations
16.
Kain, John S., Michael C. Coniglio, James Correia, et al.. (2013). A Feasibility Study for Probabilistic Convection Initiation Forecasts Based on Explicit Numerical Guidance. Bulletin of the American Meteorological Society. 1089512689–1089512689. 4 indexed citations
17.
Sobash, Ryan A.. (2009). Forecast guidance for severe thunderstorms based on identification of extreme phenomena in convection-allowing model forecasts. 2 indexed citations
18.
Sobash, Ryan A.. (2008). Severe storm forecast guidance based on explicit identification of convective phenomena in WRF-model forecasts. 4 indexed citations
19.
Laird, Neil F., Ryan A. Sobash, & Natasha Hodas. (2008). The Frequency and Characteristics of Lake-Effect Precipitation Events Associated with the New York State Finger Lakes. Journal of Applied Meteorology and Climatology. 48(4). 873–886. 31 indexed citations
20.
Sobash, Ryan A.. (2005). An Investigation of New York State Finger Lakes Snow Band Events. 1 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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