Travis M. Smith

4.0k citations
49 papers · 3.0k · 1 hit paper · h-index 27

Impact in

  • Atmospheric Science top 0.5%
    • Meteorological Phenomena and Simulations
    • Precipitation Measurement and Analysis
    • Tropical and Extratropical Cyclones Research
  • Global and Planetary Change top 1%
    • Climate variability and models
    • Flood Risk Assessment and Management
    • Fire effects on ecosystems
    • Atmospheric aerosols and clouds

Papers in

  • Atmospheric Science 41
    • Meteorological Phenomena and Simulations 41
    • Precipitation Measurement and Analysis 23
    • Tropical and Extratropical Cyclones Research 8
  • Global and Planetary Change 27
    • Climate variability and models 17
    • Flood Risk Assessment and Management 7
Co-authors
Valliappa Lakshmanan (16 shared papers)Gregory J. Stumpf (8 shared papers)Ryan Lagerquist (6 shared papers)Amy McGovern (6 shared papers)Kurt Hondl (4 shared papers)Kimberly L. Elmore (5 shared papers)David John Gagne (3 shared papers)Kiel L. Ortega (8 shared papers)
Journals
Weather and Forecasting (19 papers)Bulletin of the American Meteorological Society (7 papers)Atmospheric Research (3 papers)Journal of Atmospheric and Oceanic Technology (2 papers)Monthly Weather Review (1 paper)
Partner nations
United States

In The Last Decade

Travis M. Smith

49 papers receiving 2.9k citations

Travis M. Smith's Hit Papers

Making the Black Box More Transparent: Understanding the Physical Implications of Machine Learning 2019 · 352 citations
3520+2+4Years since publication100200300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

  • it has ≥500 total citations;
  • it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
  • it reaches the top citation threshold in at least one of its specific research topics.
  1. 2019 Bulletin of the American Meteorological Society

Peers

Travis M. Smith
Comparison fields: 5 of 117
  • Atmospheric Science 2.3k
  • Global and Planetary Change 1.9k
  • Environmental Engineering 661
  • Critical Care and Intensive Care Medicine 57
  • Astronomy and Astrophysics 177
Replace Kimberly L. Elmore with:
Kimberly L. Elmore United States
Antonello Pasini Italy
Valliappa Lakshmanan United States
Cameron R. Homeyer United States
Stephen S. Weygandt United States
Gregory J. Stumpf United States
Curtis R. Alexander United States
William A. Gallus United States
Yong Xue China
David Gill United States
Travis M. Smith relative to Kimberly L. Elmore United States Kimberly L. Elmore's profile →
Citations per field
00.5×20×40×57×
Kimberly L. Elmore · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Travis M. Smith, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Travis M. Smith Line = papers co-authored together Travis M. Smith links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Making the Black Box More Transparent: Understanding the Physical Implications of Machine Learning
Bulletin of the American Meteorological Society ·Amy McGovern, Ryan Lagerquist, David John Gagne, G. Eli Jergensen, Kimberly L. Elmore, Cameron R. Homeyer, Travis M. Smith
Hit paper breakdown →		2019352
2
Using Artificial Intelligence to Improve Real-Time Decision-Making for High-Impact Weather
Bulletin of the American Meteorological Society ·Amy McGovern, Kimberly L. Elmore, David John Gagne, Sue Ellen Haupt, Christopher D. Karstens, Ryan Lagerquist, Travis M. Smith, John K. Williams
2017273
3
The Warning Decision Support System–Integrated Information
Weather and Forecasting ·Valliappa Lakshmanan, Travis M. Smith, Gregory J. Stumpf, Kurt Hondl
2007232
4
Multi-Radar Multi-Sensor (MRMS) Severe Weather and Aviation Products: Initial Operating Capabilities
Bulletin of the American Meteorological Society ·Travis M. Smith, Valliappa Lakshmanan, Gregory J. Stumpf, Kiel L. Ortega, Kurt Hondl, Karen Cooper, Kristin M. Calhoun, Darrel M. Kingfield, Kevin L. Manross, Robert Toomey, Jeff W. Brogden
2016198
5
An Objective High-Resolution Hail Climatology of the Contiguous United States
Weather and Forecasting ·John L. Cintineo, Travis M. Smith, Valliappa Lakshmanan, Harold E. Brooks, Kiel L. Ortega
2012174
6
Progress and challenges with Warn-on-Forecast
Atmospheric Research ·David J. Stensrud, Louis J. Wicker, Ming Xue, Daniel T. Dawson, Nusrat Yussouf, Dustan M. Wheatley, Therese E. Thompson, Nathan Snook, Travis M. Smith, Alexander D. Schenkman, Corey K. Potvin, Edward R. Mansell, Ting Lei, Kristin M. Kuhlman, Youngsun Jung, Thomas A. Jones, Jidong Gao, Michael C. Coniglio, Harold E. Brooks, Keith Brewster
2012174
7
An Automated Technique to Quality Control Radar Reflectivity Data
Journal of Applied Meteorology and Climatology ·Valliappa Lakshmanan, Angela Fritz, Travis M. Smith, Kurt Hondl, Gregory J. Stumpf
2007134
8
A Real-Time, Three-Dimensional, Rapidly Updating, Heterogeneous Radar Merger Technique for Reflectivity, Velocity, and Derived Products
Weather and Forecasting ·Valliappa Lakshmanan, Travis M. Smith, Kurt Hondl, Gregory J. Stumpf, Arthur Witt
2006121
9
Rapid Sampling of Severe Storms by the National Weather Radar Testbed Phased Array Radar
Weather and Forecasting ·Pamela L. Heinselman, David Priegnitz, Kevin L. Manross, Travis M. Smith, Richard W. Adams
2008114
10
THE SEVERE HAZARDS ANALYSIS AND VERIFICATION EXPERIMENT
Bulletin of the American Meteorological Society ·Kiel L. Ortega, Travis M. Smith, Kevin L. Manross, Kevin A. Scharfenberg, Arthur Witt, Angelyn G. Kolodziej, Jonathan J. Gourley
2009109
11
FACETs: A Proposed Next-Generation Paradigm for High-Impact Weather Forecasting
Bulletin of the American Meteorological Society ·Lans P. Rothfusz, Russell S. Schneider, David Novák, Kimberly E. Klockow-McClain, Alan Gerard, Chris Karstens, Gregory J. Stumpf, Travis M. Smith
201885
12
Machine Learning for Real-Time Prediction of Damaging Straight-Line Convective Wind
Weather and Forecasting ·Ryan Lagerquist, Amy McGovern, Travis M. Smith
201784
13
Deep Learning on Three-Dimensional Multiscale Data for Next-Hour Tornado Prediction
Monthly Weather Review ·Ryan Lagerquist, Amy McGovern, Cameron R. Homeyer, David John Gagne, Travis M. Smith
202074
14
Tornado Pathlength Forecasts from 2010 to 2011 Using Ensemble Updraft Helicity
Weather and Forecasting ·Adam J. Clark, Jidong Gao, Patrick T. Marsh, Travis M. Smith, John S. Kain, James Correia, Ming Xue, Fanyou Kong
201371
15
An Objective Method of Evaluating and Devising Storm-Tracking Algorithms
Weather and Forecasting ·Valliappa Lakshmanan, Travis M. Smith
200968
16
Ultrasonography in preclinical education: a pilot study.
PubMed ·Virginia A Syperda, Puja N Trivedi, Lauren C Melo, Morganna Freeman, Eric J Ledermann, Travis M. Smith, James O. Alben
200868
17
A Real-Time Weather-Adaptive 3DVAR Analysis System for Severe Weather Detections and Warnings
Weather and Forecasting ·Jidong Gao, Travis M. Smith, David J. Stensrud, Chenghao Fu, Kristin M. Calhoun, Kevin L. Manross, Jeffrey Brogden, Valliappa Lakshmanan, Yunheng Wang, Kevin W. Thomas, Keith Brewster, Ming Xue
201358
18
An Automated Method for Depicting Mesocyclone Paths and Intensities
Weather and Forecasting ·Madison Miller, Valliappa Lakshmanan, Travis M. Smith
201255
19
Evaluation of a Probabilistic Forecasting Methodology for Severe Convective Weather in the 2014 Hazardous Weather Testbed
Weather and Forecasting ·Christopher D. Karstens, Greg Stumpf, Chen Ling, Lesheng Hua, Darrel M. Kingfield, Travis M. Smith, James Correia, Kristin M. Calhoun, Kiel L. Ortega, Chris Melick, Lans P. Rothfusz
201554
20
Classifying Convective Storms Using Machine Learning
Weather and Forecasting ·G. Eli Jergensen, Amy McGovern, Ryan Lagerquist, Travis M. Smith
201948

About Travis M. Smith

Travis M. Smith is a scholar working on Atmospheric Science, Global and Planetary Change, Environmental Engineering, Computer Vision and Pattern Recognition and Ecology, having authored 49 papers that have together received 3.0k indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (41 papers), Precipitation Measurement and Analysis (23 papers), Climate variability and models (17 papers), Tropical and Extratropical Cyclones Research (8 papers), Flood Risk Assessment and Management (7 papers), Wind and Air Flow Studies (5 papers), Soil Moisture and Remote Sensing (3 papers) and Remote Sensing in Agriculture (2 papers). The work is most often cited by research in Atmospheric Science (2.3k citations), Global and Planetary Change (1.9k citations), Environmental Engineering (661 citations), Critical Care and Intensive Care Medicine (57 citations) and Astronomy and Astrophysics (177 citations). Travis M. Smith has collaborated with scholars based in United States. Frequent co-authors include Valliappa Lakshmanan, Gregory J. Stumpf, Ryan Lagerquist, Amy McGovern, Kurt Hondl, Kimberly L. Elmore, David John Gagne, Kiel L. Ortega, Cameron R. Homeyer and Kevin L. Manross. Their work appears in journals such as Weather and Forecasting, Bulletin of the American Meteorological Society, Atmospheric Research, Journal of Atmospheric and Oceanic Technology and Monthly Weather Review.

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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