All fields · Atmospheric Science
JournalQ1· SCImago 2025
Journal of Geophysical Research: Machine Learning and Computation
ISSN 2993-5210
- Q1Quartile
- 8h-index
- 2papers summarised
About this journal
Journal of Geophysical Research: Machine Learning and Computation is a Q1 journal by SCImago Journal Rank (2025 data) and an h-index of 8. Most of its papers in the Pofolia pool fall under Atmospheric Science. Pofolia holds AI summaries of 2 paper(s) from this journal; the most cited is “HiResCastNet: A 3D Deep Learning Model for Probabilistic Regional High‐Resolution…” (0 citations).
The quartile (Q1–Q4) is the journal's percentile position within its subject area by SCImago Journal Rank; Q1 is the top 25%. What is a Q1 journal? · What is the h-index?
Most-cited papers in Atmospheric Science →
Papers we summarise from this journal
- HiResCastNet: A 3D Deep Learning Model for Probabilistic Regional High‐Resolution Subseasonal Forecasting Through Downscaling2026 · 0 citations
- A Random Forest–Based Global Gridded Model for Vertical Correction of Precipitable Water Vapor Accounting for Nonlinear Vertical Variation2026 · 0 citations
Journals in the same field
| Journal | Quartile | SJR | Summaries |
|---|---|---|---|
| Science | Q1 | 10.00 | 2 |
| Nature Climate Change | Q1 | 7.00 | 1 |
| Nature Geoscience | Q1 | 6.00 | 1 |
| Journal of the American Chemical Society | Q1 | 5.00 | 1 |
| Science Advances | Q1 | 4.00 | 1 |
| Nature Communications | Q1 | 4.00 | 1 |
| npj Climate and Atmospheric Science | Q1 | 3.00 | 2 |
| Proceedings of the National Academy of Sciences of the United States of America | Q1 | 3.00 | 1 |
| Atmospheric Chemistry and Physics | Q1 | 2.00 | 3 |
| Geoscientific Model Development | Q1 | 2.00 | 2 |
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