Kevin W. Thomas

3.4k total citations
32 papers, 2.4k citations indexed

About

Kevin W. Thomas is a scholar working on Atmospheric Science, Global and Planetary Change and Molecular Biology. According to data from OpenAlex, Kevin W. Thomas has authored 32 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Atmospheric Science, 20 papers in Global and Planetary Change and 4 papers in Molecular Biology. Recurrent topics in Kevin W. Thomas's work include Meteorological Phenomena and Simulations (24 papers), Climate variability and models (20 papers) and Tropical and Extratropical Cyclones Research (10 papers). Kevin W. Thomas is often cited by papers focused on Meteorological Phenomena and Simulations (24 papers), Climate variability and models (20 papers) and Tropical and Extratropical Cyclones Research (10 papers). Kevin W. Thomas collaborates with scholars based in United States, Sweden and Australia. Kevin W. Thomas's co-authors include Michael D. Eilts, J. T. Johnson, Arthur Witt, Gregory J. Stumpf, Elyne Mitchell, John S. Kain, Steven J. Weiss, Jason J. Levit, Craig S. Schwartz and Ming Xue and has published in prestigious journals such as Geophysical Research Letters, IEEE Transactions on Geoscience and Remote Sensing and Monthly Weather Review.

In The Last Decade

Kevin W. Thomas

32 papers receiving 2.3k citations

Peers

Kevin W. Thomas
Scott Collis United States
Alan Geer United Kingdom
Neill E. Bowler United Kingdom
Oliver Fuhrer Switzerland
Ricardo Todling United States
Caren Marzban United States
Robert B. Wilhelmson United States
D. J. Patil United States
Scott Collis United States
Kevin W. Thomas
Citations per year, relative to Kevin W. Thomas Kevin W. Thomas (= 1×) peers Scott Collis

Countries citing papers authored by Kevin W. Thomas

Since Specialization
Citations

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

Fields of papers citing papers by Kevin W. Thomas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin W. Thomas

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin W. Thomas. A scholar is included among the top collaborators of Kevin W. Thomas 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 Kevin W. Thomas. Kevin W. Thomas 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.
Snook, Nathan, Fanyou Kong, Keith Brewster, et al.. (2019). Evaluation of Convection-Permitting Precipitation Forecast Products Using WRF, NMMB, and FV3 for the 2016–17 NOAA Hydrometeorology Testbed Flash Flood and Intense Rainfall Experiments. Weather and Forecasting. 34(3). 781–804. 26 indexed citations
2.
Jirak, Israel L., Michael C. Coniglio, Adam J. Clark, et al.. (2014). 46 AN OVERVIEW OF THE 2014 NOAA HAZARDOUS WEATHER TESTBED SPRING FORECASTING EXPERIMENT. 6 indexed citations
3.
Niggemann, Jutta, Przemyslaw Bozko, Alec M. Wodtke, et al.. (2014). Baceridin, a Cyclic Hexapeptide from an Epiphytic Bacillus Strain, Inhibits the Proteasome. ChemBioChem. 15(7). 1021–1029. 27 indexed citations
4.
Johnson, Aaron, Xuguang Wang, Ming Xue, et al.. (2013). Multiscale Characteristics and Evolution of Perturbations for Warm Season Convection-Allowing Precipitation Forecasts: Dependence on Background Flow and Method of Perturbation. Monthly Weather Review. 142(3). 1053–1073. 56 indexed citations
5.
Gao, Jidong, Travis M. Smith, David J. Stensrud, et al.. (2013). A Real-Time Weather-Adaptive 3DVAR Analysis System for Severe Weather Detections and Warnings. Weather and Forecasting. 28(3). 727–745. 57 indexed citations
6.
Clark, Adam J., John S. Kain, David J. Stensrud, et al.. (2011). Probabilistic Precipitation Forecast Skill as a Function of Ensemble Size and Spatial Scale in a Convection-Allowing Ensemble. Monthly Weather Review. 139(5). 1410–1418. 115 indexed citations
7.
Samatova, Nagiza F., et al.. (2009). A scalable, parallel algorithm for maximal clique enumeration. Journal of Parallel and Distributed Computing. 69(4). 417–428. 95 indexed citations
8.
Schwartz, Craig S., John S. Kain, Steven J. Weiss, et al.. (2009). Toward Improved Convection-Allowing Ensembles: Model Physics Sensitivities and Optimizing Probabilistic Guidance with Small Ensemble Membership. Weather and Forecasting. 25(1). 263–280. 213 indexed citations
9.
Kain, John S., Steven J. Weiss, David R. Bright, et al.. (2008). Some practical considerations regarding horizontal resolution in the first generation of operational convection-allowing NWP. Weather and Forecasting. 1210162945–1210162945. 14 indexed citations
10.
Levit, Jason J., Gregory W. Carbin, David R. Bright, et al.. (2008). P10.5 THE NOAA HAZARDOUS WEATHER TESTBED 2008 SPRING EXPERIMENT: TECHINCAL AND SCIENTIFIC CHALLENGES OF CREATING A DATA VISUALIZATION ENVIRONMENT FOR STORM- SCALE DETERMINISTIC AND ENSEMBLE FORECASTS. 2 indexed citations
11.
Brewster, Keith, Daniel Weber, Kevin W. Thomas, et al.. (2008). Use of the LEAD Portal for On-Demand Severe Weather Prediction. 2 indexed citations
12.
Thomas, Kevin W., et al.. (2008). A low-speed generator for energy conversion from marine currents — experimental validation of simulations. Proceedings of the Institution of Mechanical Engineers Part A Journal of Power and Energy. 222(4). 381–388. 20 indexed citations
13.
Samatova, Nagiza F., et al.. (2008). Coupling graph perturbation theory with scalable parallel algorithms for large-scale enumeration of maximal cliques in biological graphs. Journal of Physics Conference Series. 125. 12053–12053. 3 indexed citations
14.
Wilhelmson, Robert B., Jay Alameda, Brian F. Jewett, et al.. (2007). LEAD: AUTOMATIC TRIGGERING OF HIGH RESOLUTION FORECASTS IN RESPONSE TO SEVERE WEATHER INDICATIONS FROM THE NOAA STORM PREDICTION CENTER. 1 indexed citations
15.
Mitchell, Elyne, Steven V. Vasiloff, Gregory J. Stumpf, et al.. (1998). The National Severe Storms Laboratory Tornado Detection Algorithm. Weather and Forecasting. 13(2). 352–366. 108 indexed citations
16.
Johnson, J. T., Arthur Witt, Elyne Mitchell, et al.. (1998). The Storm Cell Identification and Tracking Algorithm: An Enhanced WSR-88D Algorithm. Weather and Forecasting. 13(2). 263–276. 428 indexed citations
17.
Stumpf, Gregory J., Arthur Witt, Phillip L. Spencer, et al.. (1998). The National Severe Storms Laboratory Mesocyclone Detection Algorithm for the WSR-88D*. Weather and Forecasting. 13(2). 304–326. 177 indexed citations
18.
Witt, Arthur, Michael D. Eilts, Gregory J. Stumpf, et al.. (1998). An Enhanced Hail Detection Algorithm for the WSR-88D. Weather and Forecasting. 13(2). 286–303. 244 indexed citations
19.
Kessler, Edwin, Michael D. Eilts, & Kevin W. Thomas. (1986). A look at profiler performance. 3 indexed citations
20.
Bluestein, Howard B. & Kevin W. Thomas. (1984). Diagnosis of a Jet Streak in the Vicinity of a Severe Weather Outbreak in the Texas Panhandle. Monthly Weather Review. 112(12). 2499–2520. 13 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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