Journal Report

Earth Science Informatics

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Journal Information
Journal Title
Earth Science Informatics
Publisher
Springer Verlag
ISSN
1865-0473
E-ISSN
1865-0481
Database
SCOPUS
Domain
Physical Sciences, Social Sciences
Classification History
Year A+ A B C
2026 ✓ ✓
2025 ✓ ✓
2024 ✓ ✓
2023 ✓ ✓
2021/2022 ✓ ✓
2020 ✓ ✓
2019 ✓ ✓
2018 ✓
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Recent Articles
Hierarchical XGBoost for lithology identification with lithology-family information
Shunli Li, Chuang Hei, Fantong Kong et al.
2026-11-14 Vol. 19 Issue 12
A spatially validated and uncertainty-aware informatics framework for hydrothermal gold prospectivity mapping in Western Java
Arie Naftali Hawu Hede, Muhammad Amiruddin Nurullah, Syafrizal
2026-11-14 Vol. 19 Issue 12
EGMS-PCA: a Python GUI tool for temporal analysis of EGMS time series
Francesco Poggi, Gabriele Fibbi, Federico Raspini
2026-11-13 Vol. 19 Issue 12
Permeability prediction in heterogeneous carbonate rocks using simple pore structure parameters: A comparative study of multiple machine learning modeling approaches
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2026-11-12 Vol. 19 Issue 12
Explainable machine learning–based spatial downscaling of multi-depth FLDAS soil moisture to 500 m resolution using artificial neural networks and spatial cross-validation
Fatemeh Haji Sharafi, Elahe Khesali
2026-11-12 Vol. 19 Issue 12
EAAN: Efficient adaptive aggregation network for digital rock image super-resolution
Yunlei Sun, Yunda Li, Ruifeng Chen et al.
2026-11-12 Vol. 19 Issue 12
Annual sampling frequency and false-negative probability in water-quality threshold-exceedance detection: an exact conditional analysis of the Buranhém River, Bahia, Brazil
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2026-11-11 Vol. 19 Issue 12
MER-LLM: a lightweight domain-adaptation workflow for knowledge support in marine ecosystem restoration
Lijuan Zhang, Junjie Wang, Yutao Zhu
2026-11-11 Vol. 19 Issue 12
Geo-CausalNLI: a causality-aware natural language inference method for mining pattern discovery in geology
Qian Tian, Kai Xu, Chonglong Wu et al.
2026-11-6 Vol. 19 Issue 12
Automatic identification and application of organic microcomponents in oil shale based on deep learning models using Bayesian optimization algorithm
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2026-11-6 Vol. 19 Issue 12
Articles retrieved from Crossref.
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Printed: November 14, 2026 18:09