David John Gagne

3.6k citations
73 papers · 2.1k indexed · 1 hit paper · h-index 23
Topics
Meteorological Phenomena and Simulations (34 papers)Climate variability and models (23 papers)Precipitation Measurement and Analysis (9 papers)
Journals
SHILAP Revista de lepidopterologíaGeophysical Research LettersOptics Express

In The Last Decade

David John Gagne

67 papers receiving 2.0k citations

Hit Papers

Making the Black Box More Transparent: Understanding the ...20192026202120232019100200300

Peers

David John Gagne
Comparison fields: 5 of 124
  • Atmospheric Science 1.4k
  • Global and Planetary Change 1.2k
  • Environmental Engineering 533
  • Artificial Intelligence 315
  • Electrical and Electronic Engineering 116
Replace Amy McGovern with:
Amy McGovern United States
Kimberly L. Elmore United States
Travis M. Smith United States
Peter Dueben United Kingdom
Ryan Lagerquist United States
Rémi Lam United States
Suman Ravuri United States
N. Robinson United Kingdom
Stephan Rasp Germany
Dorit Hammerling United States
David John Gagne relative to Amy McGovern United States Amy McGovern's profile →
Citations per field
00.5×1.6×
Amy McGovern · 1×
Citations per year

Countries citing papers authored by David John Gagne

Since Specialization
Citations

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

Fields of papers citing papers by David John Gagne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David John Gagne. 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 David John Gagne. The network helps show where David John Gagne may publish in the future.

Co-authorship network of co-authors of David John Gagne

This figure shows the co-authorship network connecting the top 25 collaborators of David John Gagne. A scholar is included among the top collaborators of David John Gagne 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 David John Gagne. David John Gagne 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
#WorkIndexed citations
1 1
2 0
3 8
4 1
5 2
6 6
7 7
8 6
9 21
10 31
11 65
12 70
13
Emulation of Bin Microphysical Processes with Machine Learning
1
14
Machine Learning Parameterization of the Surface Layer: Bridging the Observation-Modeling Gap
1
15
Surface Layer Flux Machine Learning Parameterizations
2
16
Evaluating Generative Adversarial Network Stochastic Parameterizations of the Lorenz '96 Model at Weather and Climate Time Scales
1
17
Using Machine Learning to Emulate Critical Cloud Microphysical Processes
3
18 4
19
Analysis of tonal music : a Schenkerian approach : student workbook to accompany
0
20
Structure and meaning in tonal music : festschrift in honor of Carl Schachter
7

About David John Gagne

David John Gagne is a scholar working on Atmospheric Science, Global and Planetary Change and Music, having authored 73 papers that have together received 2.1k indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (34 papers), Climate variability and models (23 papers) and Precipitation Measurement and Analysis (9 papers). The work is most often cited by research in Atmospheric Science (1.4k citations), Global and Planetary Change (1.2k citations) and Environmental Engineering (533 citations). David John Gagne has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Amy McGovern, Ryan Lagerquist, Sue Ellen Haupt, Travis M. Smith, Kimberly L. Elmore, John K. Williams, Cameron R. Homeyer, Ming Xue, Gregory West and Roland B. Stull. Their work appears in journals such as SHILAP Revista de lepidopterología, Geophysical Research Letters and Optics Express.

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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