Immediate Impact
9 standout
Citing Papers
A CNN-LSTM based deep learning model with high accuracy and robustness for carbon price forecasting: A case of Shenzhen's carbon market in China
2024 Standout
The 15 January 2022 Hunga Tonga Eruption History as Inferred From Ionospheric Observations
2022 Standout
Works of M. Pietrella being referenced
Assimilation of autoscaled data and regional and local ionospheric models as input sources for real‐time 3‐D International Reference Ionosphere modeling
2011
A prediction model of foF2 over periods of severe geomagnetic activity
2006
Author Peers
| Author | Last Decade | Papers | Cites | |||
|---|---|---|---|---|---|---|
| M. Pietrella | 592 | 357 | 343 | 56 | 636 | |
| Jens Berdermann | 638 | 295 | 272 | 69 | 693 | |
| C. Mayer | 510 | 372 | 198 | 39 | 644 | |
| Daniel Okoh | 505 | 287 | 274 | 55 | 568 | |
| Yu. M. Yampolski | 491 | 208 | 379 | 65 | 666 | |
| K. Bibl | 651 | 319 | 296 | 27 | 719 | |
| Leo F. McNamara | 669 | 407 | 342 | 40 | 716 | |
| Seebany Datta‐Barua | 466 | 401 | 160 | 57 | 557 | |
| Panagiotis Vergados | 442 | 251 | 210 | 31 | 545 | |
| G. K. Hartmann | 483 | 241 | 215 | 48 | 599 | |
| C. Coker | 630 | 368 | 281 | 40 | 666 |
All Works
Loading papers...