Standout Papers

Making the Black Box More Transparent: Understanding the Physical Implications of Machine Learning 2019 2026 2021 2023 315
  1. Making the Black Box More Transparent: Understanding the Physical Implications of Machine Learning (2019)
    Amy McGovern, Ryan Lagerquist et al. Bulletin of the American Meteorological Society

Immediate Impact

24 from Science/Nature 69 standout
Sub-graph 1 of 22

Citing Papers

Predicting Chlorophyll-a Concentrations in the World’s Largest Lakes Using Kolmogorov-Arnold Networks
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A foundation model for the Earth system
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4 intermediate papers

Works of David John Gagne being referenced

Making the Black Box More Transparent: Understanding the Physical Implications of Machine Learning
2019 Standout
Using Artificial Intelligence to Improve Real-Time Decision-Making for High-Impact Weather
2017
and 3 more

Author Peers

Author Last Decade Papers Cites
David John Gagne 1226 1071 255 454 54 1.8k
Amy McGovern 1107 973 488 452 67 2.1k
Travis M. Smith 2140 1830 139 610 45 2.7k
Kimberly L. Elmore 1618 1392 110 438 54 2.1k
Imme Ebert‐Uphoff 537 602 238 204 62 1.7k
N. Robinson 1533 1271 81 246 26 2.0k
Yong Xue 1442 1440 137 774 155 2.6k
Guido Cervone 593 794 751 345 89 2.8k
Zeqiang Chen 396 696 168 613 93 1.9k
Colin Harpham 1203 1730 144 419 32 2.5k
Peter Lynch 1047 1011 76 243 63 1.9k

All Works

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2026