Immediate Impact
10 standout
Citing Papers
The Rise of Data-Driven Weather Forecasting: A First Statistical Assessment of Machine Learning–Based Weather Forecasts in an Operational-Like Context
2024 Standout
How Interpretable Machine Learning Can Benefit Process Understanding in the Geosciences
2024 Standout
Works of Randy J. Chase being referenced
A Machine Learning Tutorial for Operational Meteorology. Part II: Neural Networks and Deep Learning
2023
Author Peers
| Author | Last Decade | Papers | Cites | ||||
|---|---|---|---|---|---|---|---|
| Randy J. Chase | 294 | 176 | 13 | 33 | 21 | 353 | |
| M.T. Dana | 274 | 210 | 3 | 62 | 23 | 344 | |
| Fulvio Stel | 298 | 251 | 6 | 59 | 22 | 396 | |
| W. Frey | 306 | 269 | 2 | 22 | 20 | 388 | |
| D. L. Sisterson | 243 | 208 | 12 | 63 | 16 | 340 | |
| Hiromaru Hirakuchi | 273 | 246 | 3 | 128 | 31 | 384 | |
| M. Kerschgens | 223 | 240 | 18 | 67 | 25 | 314 | |
| Teresa Lo Feudo | 215 | 215 | 15 | 79 | 38 | 339 | |
| Julie Haggerty | 345 | 301 | 12 | 26 | 29 | 390 | |
| Larissa Lacher | 239 | 203 | 8 | 8 | 13 | 308 | |
| Anke Kniffka | 228 | 242 | 47 | 37 | 19 | 305 |
All Works
Login with ORCID to disown or claim papers
Loading papers...