Bryan T. Smith

1.4k total citations
30 papers, 1.2k citations indexed

About

Bryan T. Smith is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Bryan T. Smith has authored 30 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Atmospheric Science, 26 papers in Global and Planetary Change and 10 papers in Environmental Engineering. Recurrent topics in Bryan T. Smith's work include Meteorological Phenomena and Simulations (28 papers), Climate variability and models (21 papers) and Tropical and Extratropical Cyclones Research (13 papers). Bryan T. Smith is often cited by papers focused on Meteorological Phenomena and Simulations (28 papers), Climate variability and models (21 papers) and Tropical and Extratropical Cyclones Research (13 papers). Bryan T. Smith collaborates with scholars based in United States and Australia. Bryan T. Smith's co-authors include Richard L. Thompson, Andrew R. Dean, Chris Broyles, Harold E. Brooks, Yvette Richardson, Patrick T. Marsh, Matthew D. Parker, Brice E. Coffer, Roger Edwards and Jerald A. Brotzge and has published in prestigious journals such as Weather and Forecasting, Clinical and Experimental Optometry and NOAA Institutional Repository.

In The Last Decade

Bryan T. Smith

29 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bryan T. Smith United States	15	1.1k	1.0k	246	56	21	30	1.2k
Andrew R. Dean United States	14	919 0.8×	831 0.8×	205 0.8×	39 0.7×	13 0.6×	29	959
Gregory W. Carbin United States	9	690 0.6×	689 0.7×	127 0.5×	55 1.0×	12 0.6×	13	785
Nathan Snook United States	16	979 0.9×	875 0.9×	178 0.7×	21 0.4×	6 0.3×	27	1.0k
Dustan M. Wheatley United States	15	1.1k 1.0×	1.1k 1.0×	218 0.9×	44 0.8×	5 0.2×	18	1.2k
Daniel T. Dawson United States	20	1.2k 1.1×	1.0k 1.0×	230 0.9×	46 0.8×	5 0.2×	36	1.3k
Youngsun Jung United States	24	1.7k 1.5×	1.5k 1.4×	244 1.0×	33 0.6×	5 0.2×	51	1.7k
Jeffrey P. Craven United States	5	629 0.5×	615 0.6×	71 0.3×	43 0.8×	5 0.2×	8	684
Vincent T. Wood United States	18	676 0.6×	340 0.3×	217 0.9×	37 0.7×	15 0.7×	44	751
Ludovic Auger France	8	629 0.5×	585 0.6×	72 0.3×	23 0.4×	4 0.2×	14	722
Christopher J. Nowotarski United States	17	579 0.5×	497 0.5×	169 0.7×	27 0.5×	2 0.1×	37	613

Countries citing papers authored by Bryan T. Smith

Since Specialization

Citations

This map shows the geographic impact of Bryan T. Smith'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 Bryan T. Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bryan T. Smith more than expected).

Fields of papers citing papers by Bryan T. Smith

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bryan T. Smith. 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 Bryan T. Smith. The network helps show where Bryan T. Smith may publish in the future.

Co-authorship network of co-authors of Bryan T. Smith

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Thompson, Richard L., Bryan T. Smith, Andrew R. Dean, & Patrick T. Marsh. (2021). Spatial Distributions of Tornadic Near-Storm Environments by Convective Mode. 8(5). 1–22. 6 indexed citations

Thompson, Richard L., et al.. (2021). An Environmental Study on Tornado Pathlength, Longevity, and Width. Weather and Forecasting. 36(4). 1471–1490. 7 indexed citations

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

Gallo, Burkely T., Adam J. Clark, Bryan T. Smith, et al.. (2018). Blended Probabilistic Tornado Forecasts: Combining Climatological Frequencies with NSSL–WRF Ensemble Forecasts. Weather and Forecasting. 33(2). 443–460. 22 indexed citations

Cohen, Ariel, Joel B. Cohen, Richard L. Thompson, & Bryan T. Smith. (2018). Simulating Tornado Probability and Tornado Wind Speed Based on Statistical Models. Weather and Forecasting. 33(4). 1099–1108. 14 indexed citations

Richardson, Yvette, et al.. (2018). Near-Storm Environments of Outbreak and Isolated Tornadoes. Weather and Forecasting. 33(5). 1397–1412. 21 indexed citations

Cohen, Ariel, et al.. (2017). Lower Mississippi River Valley Quasi-Linear Convective System Tornado Environments and Radar Signatures. 5(4). 42–52. 1 indexed citations

Richardson, Yvette, et al.. (2017). Self-Organizing Maps for the Investigation of Tornadic Near-Storm Environments. Weather and Forecasting. 32(4). 1467–1475. 26 indexed citations

Thompson, Richard L., Bryan T. Smith, Andrew R. Dean, et al.. (2017). Tornado Damage Rating Probabilities Derived from WSR-88D Data. Weather and Forecasting. 32(4). 1509–1528. 37 indexed citations

10.

Richardson, Yvette, et al.. (2016). Investigation of Near-Storm Environments for Tornado Events and Warnings. Weather and Forecasting. 31(6). 1771–1790. 72 indexed citations

11.

Smith, Bryan T.. (2014). The Storm Prediction Center Tornadic Storm and Environment Database: Development and Application. 2 indexed citations

12.

Smith, Bryan T.. (2014). Demonstrating the Utility of Conditional Probabilities of Tornado Damage Rating in the Impact-Based Warning Era. 2 indexed citations

13.

Brotzge, Jerald A., et al.. (2013). Tornado Probability of Detection and Lead Time as a Function of Convective Mode and Environmental Parameters. Weather and Forecasting. 28(5). 1261–1276. 57 indexed citations

14.

Smith, Bryan T.. (2012). Diagnosis of Conditional Maximum Tornado Damage Probabilities. 1 indexed citations

15.

Thompson, Richard L., et al.. (2012). Convective Modes for Significant Severe Thunderstorms in the Contiguous United States. Part II: Supercell and QLCS Tornado Environments. Weather and Forecasting. 27(5). 1136–1154. 250 indexed citations

16.

Smith, Bryan T.. (2010). Convective modes associated with significant severe thunderstorms in the contiguous United States. 2 indexed citations

17.

Smith, Bryan T.. (2008). The climatology, convective mode, and mesoscale environment of cool season severe thunderstorms in the Ohio and Tennessee Valleys, 1995-2006. 7 indexed citations

18.

Smith, Bryan T.. (2006). SVRGIS: Geographic Information System (GIS) Graphical Database of Tornado, Large Hail, and Damaging Wind Reports in the United States (1950-2005). 4 indexed citations

19.

Smith, Bryan T., et al.. (2001). INCREASING TREATMENT PLANT WET WEATHER FLOW CAPACITY WITH COARSE MONOMEDIA FILTRATION: A CASE STUDY AT THREE WESTERN NEW YORK TREATMENT PLANTS. Proceedings of the Water Environment Federation. 2001(10). 127–139. 1 indexed citations

20.

Smith, Bryan T., et al.. (1990). Axial length and radius of rotation of the eye. Clinical and Experimental Optometry. 73(2). 43–50. 3 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.

Explore authors with similar magnitude of impact