Travis M. Smith

3.9k total citations · 1 hit paper
49 papers, 2.9k citations indexed

About

Travis M. Smith is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Travis M. Smith has authored 49 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Atmospheric Science, 27 papers in Global and Planetary Change and 9 papers in Environmental Engineering. Recurrent topics in Travis M. Smith's work include Meteorological Phenomena and Simulations (41 papers), Precipitation Measurement and Analysis (23 papers) and Climate variability and models (17 papers). Travis M. Smith is often cited by papers focused on Meteorological Phenomena and Simulations (41 papers), Precipitation Measurement and Analysis (23 papers) and Climate variability and models (17 papers). Travis M. Smith collaborates with scholars based in United States. Travis M. Smith's co-authors include Valliappa Lakshmanan, Gregory J. Stumpf, Amy McGovern, Ryan Lagerquist, Kurt Hondl, Kimberly L. Elmore, David John Gagne, Kiel L. Ortega, Cameron R. Homeyer and Kevin L. Manross and has published in prestigious journals such as Journal of Hydrology, Monthly Weather Review and Bulletin of the American Meteorological Society.

In The Last Decade

Travis M. Smith

49 papers receiving 2.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Making the Black Box More Transparent: Understanding the Physical Implications of Machine Learning

2019 344 citations Amy McGovern, Ryan Lagerquist et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Travis M. Smith United States	27	2.3k	1.9k	657	177	161	49	2.9k
Valliappa Lakshmanan United States	26	2.0k 0.9×	1.6k 0.8×	520 0.8×	175 1.0×	114 0.7×	71	2.5k
Kimberly L. Elmore United States	22	1.8k 0.8×	1.5k 0.8×	478 0.7×	71 0.4×	130 0.8×	57	2.4k
Gregory J. Stumpf United States	17	2.0k 0.9×	1.5k 0.8×	528 0.8×	217 1.2×	89 0.6×	31	2.3k
Stephen S. Weygandt United States	17	2.3k 1.0×	2.1k 1.1×	514 0.8×	80 0.5×	56 0.3×	30	2.7k
David Gill United States	10	2.0k 0.9×	1.7k 0.9×	534 0.8×	61 0.3×	72 0.4×	12	2.7k
Curtis R. Alexander United States	22	2.1k 0.9×	1.6k 0.8×	628 1.0×	53 0.3×	46 0.3×	56	2.4k
Georg J. Mayr Austria	27	1.3k 0.6×	1.1k 0.6×	451 0.7×	64 0.4×	70 0.4×	88	1.7k
William A. Gallus United States	34	3.1k 1.3×	2.7k 1.4×	741 1.1×	95 0.5×	35 0.2×	125	3.6k
W. A. Lahoz United Kingdom	30	2.1k 0.9×	1.8k 0.9×	533 0.8×	261 1.5×	35 0.2×	101	2.6k
Zhiquan Liu United States	30	3.3k 1.4×	2.8k 1.4×	611 0.9×	56 0.3×	62 0.4×	81	3.8k

Countries citing papers authored by Travis M. Smith

Since Specialization

Citations

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

Fields of papers citing papers by Travis M. Smith

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Travis M. Smith

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

All Works

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20 of 20 papers shown

Smith, Travis M., et al.. (2023). A Case Report of Nearly Missed Renal Tubular Acidosis in the Setting of Sjögren’s Syndrome. Cureus. 15(2). e34899–e34899. 1 indexed citations

Lagerquist, Ryan, Amy McGovern, Cameron R. Homeyer, David John Gagne, & Travis M. Smith. (2020). Deep Learning on Three-Dimensional Multiscale Data for Next-Hour Tornado Prediction. Monthly Weather Review. 148(7). 2837–2861. 70 indexed citations

Elmore, Kimberly L., et al.. (2019). Estimates of Gradients in Radar Moments Using a Linear Least Squares Derivative Technique. Weather and Forecasting. 34(2). 415–434. 27 indexed citations

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

Lagerquist, Ryan, Amy McGovern, & Travis M. Smith. (2017). Machine Learning for Real-Time Prediction of Damaging Straight-Line Convective Wind. Weather and Forecasting. 32(6). 2175–2193. 84 indexed citations

Calhoun, Kristin M., Travis M. Smith, Darrel M. Kingfield, Jidong Gao, & David J. Stensrud. (2014). Forecaster Use and Evaluation of Real-Time 3DVAR Analyses during Severe Thunderstorm and Tornado Warning Operations in the Hazardous Weather Testbed. Weather and Forecasting. 29(3). 601–613. 17 indexed citations

Clark, Adam J., Jidong Gao, Patrick T. Marsh, et al.. (2013). Tornado Pathlength Forecasts from 2010 to 2011 Using Ensemble Updraft Helicity. Weather and Forecasting. 28(2). 387–407. 71 indexed citations

Smith, Travis M., Jidong Gao, Kristin M. Calhoun, et al.. (2013). Examination of a Real-Time 3DVAR Analysis System in the Hazardous Weather Testbed. Weather and Forecasting. 29(1). 63–77. 11 indexed citations

Gallo, Kevin P., et al.. (2012). Hail Swaths Observed from Satellite Data and Their Relation to Radar and Surface-Based Observations: A Case Study from Iowa in 2009. Weather and Forecasting. 27(3). 796–802. 27 indexed citations

10.

Stensrud, David J., Louis J. Wicker, Ming Xue, et al.. (2012). Progress and challenges with Warn-on-Forecast. Atmospheric Research. 123. 2–16. 173 indexed citations

11.

Cintineo, John L., Travis M. Smith, Valliappa Lakshmanan, Harold E. Brooks, & Kiel L. Ortega. (2012). An Objective High-Resolution Hail Climatology of the Contiguous United States. Weather and Forecasting. 27(5). 1235–1248. 174 indexed citations

12.

Miller, Madison, Valliappa Lakshmanan, & Travis M. Smith. (2012). An Automated Method for Depicting Mesocyclone Paths and Intensities. Weather and Forecasting. 28(3). 570–585. 54 indexed citations

13.

Smith, Travis M.. (2010). A survey of real-time 3DVAR analyses conducted during the 2010 Experimental Warning Program spring experiment. 2 indexed citations

14.

Smith, Travis M. & Valliappa Lakshmanan. (2010). Real-time, rapidly updating severe weather products for virtual globes. Computers & Geosciences. 37(1). 3–12. 15 indexed citations

15.

Lakshmanan, Valliappa & Travis M. Smith. (2009). An Objective Method of Evaluating and Devising Storm-Tracking Algorithms. Weather and Forecasting. 25(2). 701–709. 68 indexed citations

16.

Smith, Travis M.. (2006). The Severe Hail Verification Experiment. 5 indexed citations

17.

Lakshmanan, Valliappa, Travis M. Smith, Kurt Hondl, Gregory J. Stumpf, & Arthur Witt. (2006). A Real-Time, Three-Dimensional, Rapidly Updating, Heterogeneous Radar Merger Technique for Reflectivity, Velocity, and Derived Products. Weather and Forecasting. 21(5). 802–823. 121 indexed citations

18.

Smith, Travis M.. (2005). Verification of multi-sensor, multi-radar hail diagnosis techniques. 6 indexed citations

19.

Smith, Travis M.. (2004). The Use of Radial Velocity Derivatives to Diagnose Rotation and Divergence. 11th Conference on Aviation, Range, and Aerospace and the 22nd Conference on Severe Local Storms. 42 indexed citations

20.

Su, Ching‐Hua, et al.. (1999). Point defect distributions in ZnSe crystals: effects of gravity vector orientation during physical vapor transport growth. Journal of Crystal Growth. 204(1-2). 41–51. 9 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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