Ryan Lagerquist

1.8k citations
26 papers · 1.3k · 2 hit papers · h-index 12

Impact in

    • Meteorological Phenomena and Simulations
    • Precipitation Measurement and Analysis
    • Tropical and Extratropical Cyclones Research
    • Climate variability and models
    • Fire effects on ecosystems

Papers in

    • Meteorological Phenomena and Simulations 20
    • Tropical and Extratropical Cyclones Research 2
    • Explainable Artificial Intelligence (XAI) 3
    • Gaussian Processes and Bayesian Inference 1

Ryan Lagerquist

24 papers receiving 1.2k citations

Ryan Lagerquist's Hit Papers

Making the Black Box More Transparent: Understanding the Physical Implications of Machine Learning 2019 · 382 citations
3820+3+6Years since publication100200300

Peers

Ryan Lagerquist
Comparison fields: 5 of 86
  • Atmospheric Science 733
  • Global and Planetary Change 244
  • Environmental Engineering 142
  • Artificial Intelligence 152
  • Media Technology 33
Replace Kimberly L. Elmore with:
Kimberly L. Elmore United States
Travis M. Smith United States
Kaifeng Bi China
Christopher D. Karstens United States
Xiaotao Gu China
Jacklynn Stott United Kingdom
Hannah M. Christensen United Kingdom
Sebastian Scher Sweden
Rachel Prudden United Kingdom
Ryan Lagerquist relative to Kimberly L. Elmore United States Kimberly L. Elmore's profile →
Citations per field
00.5×1.5×
Kimberly L. Elmore · 1×
Citations per year

Countries citing papers authored by Ryan Lagerquist

Since Specialization
Citations

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

Fields of papers citing papers by Ryan Lagerquist

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ryan Lagerquist, 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 Ryan Lagerquist Line = papers co-authored together Ryan Lagerquist links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 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
Hit paper breakdown →
2019382
2
Using Artificial Intelligence to Improve Real-Time Decision-Making for High-Impact Weather
Hit paper breakdown →
2017316
3 201790
4 202085
5 201982
6 201950
7 202141
8 202140
9 202336
10 201732
11 202332
12 202020
13 202211
14 201910
15 20237
16 20195
17 20235
18
Using Machine Learning to Predict Damaging Straight-line Convective Winds
20163
19 20183
20
Using Machine Learning to Predict Straight-line Convective Wind Hazards Throughout the Continental United States
20172

About Ryan Lagerquist

Ryan Lagerquist is a scholar working on Atmospheric Science, Artificial Intelligence, Global and Planetary Change, Media Technology and Information Systems and Management, having authored 26 papers that have together received 1.3k indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (20 papers), Explainable Artificial Intelligence (XAI) (3 papers), Tropical and Extratropical Cyclones Research (2 papers), Ethics and Social Impacts of AI (1 paper), Fire effects on ecosystems (1 paper), Climate variability and models (1 paper), Gaussian Processes and Bayesian Inference (1 paper) and Interdisciplinary Research and Collaboration (1 paper). The work is most often cited by research in Atmospheric Science (733 citations), Global and Planetary Change (244 citations), Environmental Engineering (142 citations), Artificial Intelligence (152 citations) and Media Technology (33 citations). Ryan Lagerquist has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Amy McGovern, Travis M. Smith, David John Gagne, Kimberly L. Elmore, Cameron R. Homeyer, Christopher D. Karstens, John Kino Yamaguchi Williams, Sue Ellen Haupt, Imme Ebert‐Uphoff and Jebb Q. Stewart. Their work appears in journals such as Weather and Forecasting, Bulletin of the American Meteorological Society, Journal of Atmospheric and Oceanic Technology, Monthly Weather Review and Biogeosciences.

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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