Immediate Impact
4 from Science/Nature 38 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 Justin Sieglaff being referenced
The NOAA/CIMSS ProbSevere Model: Incorporation of Total Lightning and Validation
2018
An Empirical Model for Assessing the Severe Weather Potential of Developing Convection
2014
Author Peers
| Author | Last Decade | Papers | Cites | |||
|---|---|---|---|---|---|---|
| Justin Sieglaff | 679 | 642 | 70 | 26 | 813 | |
| Yongguang Zheng | 802 | 664 | 148 | 47 | 961 | |
| Damien Boulanger | 495 | 422 | 98 | 36 | 727 | |
| Seiya Nishizawa | 515 | 468 | 72 | 43 | 666 | |
| M. M. Khaiyer | 734 | 745 | 55 | 26 | 807 | |
| David Santek | 597 | 542 | 87 | 34 | 791 | |
| Xuehua Fan | 538 | 506 | 78 | 30 | 668 | |
| James F. W. Purdom | 645 | 591 | 71 | 28 | 773 | |
| Liang Xu | 594 | 472 | 104 | 28 | 815 | |
| D. Fuà | 828 | 661 | 142 | 44 | 914 | |
| Phil Rosenberg | 758 | 720 | 52 | 35 | 918 |
All Works
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