Aims & Scope
Geoscience Frontiers (GSF) publishes in English high quality original research articles and timely reviews in interdisciplinary fields of Earth and Planetary Sciences.
GSF bridges innovative, provocative and challenging concepts and models related to various fields of research including petrology and geochemistry in understanding lithospheric architecture and mantle dynamics, global tectonics, economic geology and fuel exploration, geophysics, stratigraphy and paleontology with new insights on correlations and evolution, environmental and engineering geology, astrogeology, among other themes.
View Aims & ScopeMetrics & Ranking
Impact Factor
| Year | Value |
|---|---|
| 2025 | 8.9 |
Journal Rank
| Year | Value |
|---|---|
| 2024 | 1303 |
Journal Citation Indicator
| Year | Value |
|---|---|
| 2024 | 5379 |
SJR (SCImago Journal Rank)
| Year | Value |
|---|---|
| 2024 | 2.111 |
Quartile
| Year | Value |
|---|---|
| 2024 | Q1 |
h-index
| Year | Value |
|---|---|
| 2024 | 100 |
Impact Factor Trend
Abstracting & Indexing
Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.
Subjects & Keywords
Journal’s research areas, covering key disciplines and specialized sub-topics in Earth and Planetary Sciences, designed to support cutting-edge academic discovery.
Licensing & Copyright
This journal operates under an Open Access model. Articles are freely accessible to the public immediately upon publication. The content is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing users to share and adapt the work with proper attribution.
Copyright remains with the author(s), and no permission is required for non-commercial use, provided the original source is cited.
Most Cited Articles
The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.
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Machine learning in geosciences and remote sensing
Citation: 870
Authors: David J., Amir H., Amir H., Annette L.
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Arsenic contamination of groundwater: A global synopsis with focus on the Indian Peninsula
Citation: 770
Authors: E., M., K.V., Pranav, V., B.V.
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Assessment of soil erosion by RUSLE model using remote sensing and GIS - A case study of Nethravathi Basin
Citation: 756
Authors: B.P., H.
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Prediction of undrained shear strength using extreme gradient boosting and random forest based on Bayesian optimization
Citation: 701
Authors: Wengang, Chongzhi, Haiyi, Yongqin, Lin
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Natural resource scarcity, fossil fuel energy consumption, and total greenhouse gas emissions in top emitting countries
Citation: 674
Authors: Jiannan, Waseem
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Delineation of groundwater potential zones in Theni district, Tamil Nadu, using remote sensing, GIS and MIF techniques
Citation: 651
Authors: N.S., N., John Prince
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Strategies towards statistically robust interpretations of in situ U–Pb zircon geochronology
Citation: 607
Authors: Christopher J., Christopher L., Richard J.M.