Journal of Geophysical Research: Machine Learning and Computation
Subject Categories
Detailed Metrics
| Total Docs. (latest) | 181 |
| Total Docs. (3 years) | 80 |
| Total Refs. | 12,156 |
| Total Citations (3 years) | 290 |
| Citable Docs. (3 years) | 79 |
| Citations / Doc. (2 years) | 3.63 |
| Ref. / Doc. | 67.16 |
| % Female | 28.4% |
Metrics Visualization
Latest year data vs 3-year cumulative figures
Publication & Citation Trend
Top 10 Most Cited Articles
Frequently Asked Questions
What is the impact factor of Journal of Geophysical Research: Machine Learning and Computation?
The official Journal Impact Factor (JIF) is published by Clarivate in the Journal Citation Reports (JCR) and is not listed on this page. Based on SCImago data, Journal of Geophysical Research: Machine Learning and Computation has an SJR of 0.773 and is ranked Q1.
What is the SJR and quartile of Journal of Geophysical Research: Machine Learning and Computation?
Journal of Geophysical Research: Machine Learning and Computation has an SJR (SCImago Journal Rank) of 0.773 and its best quartile is Q1.
What is the H-index of Journal of Geophysical Research: Machine Learning and Computation?
The H-index of Journal of Geophysical Research: Machine Learning and Computation is 8, meaning 8 of its articles have each been cited at least 8 times.
Is Journal of Geophysical Research: Machine Learning and Computation indexed in Scopus?
Yes. Journal of Geophysical Research: Machine Learning and Computation is active in Scopus (Scopus Source List, August 2026).
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