Journal of Geophysical Research Machine Learning and Computation Citation Rate 2026
2993-5210
Wiley (John Wiley & Sons)
Q2 Quartile Open Access
About Journal of Geophysical Research Machine Learning and Computation
Journal of Geophysical Research Machine Learning and Computation (JGRMLC) is a peer-reviewed academic journal, published by Wiley (John Wiley & Sons), catalogued under ISSN 2993-5210. As of 2026, it has a 2023 2-Year Citation Rate (OpenAlex) of 1.69 (Q2 quartile) — the average number of citations its recent articles received over a two-year window, computed from OpenAlex open citation data, not the Clarivate (JCR) Impact Factor. It is fully open access.
Journal of Geophysical Research Machine Learning and Computation Citation Rate 2026 — In Context
Journal of Geophysical Research Machine Learning and Computation has a 2023 2-Year Citation Rate (OpenAlex) of 1.69, placing it in the Q2 quartile. This is the average number of citations the journal's recent articles received over a two-year window, computed from OpenAlex open citation data — not the Clarivate (JCR) Journal Impact Factor.
As a fully open-access publication, Journal of Geophysical Research Machine Learning and Computation makes all articles freely available to readers.
Researchers looking to publish in Journal of Geophysical Research Machine Learning and Computation should review the journal's submission tips and verify the latest indexing status against Scopus, DOAJ, and Web of Science using our indexing tracker. To compare Journal of Geophysical Research Machine Learning and Computation against similar journals in the field, use our journal comparison tool.
| ISSN (Print) | 2993-5210 |
|---|---|
| Publisher | Wiley (John Wiley & Sons) |
| APC / Cost | Inquire with Publisher |
| h-index | 13 |
| Total Works | 460 |
| Total Citations | 1,019 |
| 2-yr Mean Citedness | 2.22 (OpenAlex) |
| DOAJ | Listed |
In-depth profile & metrics
Journal of Geophysical Research Machine Learning and Computation is published by Wiley (John Wiley & Sons). It publishes on an open-access basis.
Editorially, Journal of Geophysical Research Machine Learning and Computation concentrates on Meteorological Phenomena and Simulations, Seismic Imaging and Inversion Techniques and Climate variability and models.
Journal of Geophysical Research Machine Learning and Computation is indexed in the DOAJ and OpenAlex. DOAJ listing confirms the journal's open-access policies have been independently vetted.
OpenAlex records 460 works that have together drawn 1,019 citations, giving the journal an h-index of 13; its most recent citation rate stands at 1.690; OpenAlex puts its two-year mean citedness at 2.22.
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Live Indexing Status
Updated March 2026Track real-time indexing metrics to ensure this journal meets your academic requirements.
Citation Rate
Historical Trend
Initial data points onlyCitation Rate by Year
| Year | Value | Source |
|---|---|---|
| 2023 | 1.690 | 2-Year Mean Citedness (OpenAlex) |
Metrics are sourced from OpenAlex, DOAJ and Scopus and reflect the latest data we hold. The headline figure is a 2-year citation rate (OpenAlex), not a Clarivate Impact Factor. Always verify against the journal's official site before relying on it. See our Methodology or report a correction.
Publication & citation history by year
| Year | Works published | Citations received |
|---|---|---|
| 2025 | 195 | 431 |
| 2024 | 89 | 558 |
Journal at a Glance
Source: OpenAlex — refreshed daily.
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Metadata
Last updated: Mar 15, 2026
Updated by: system
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