Arabian Journal of Geosciences
Published by Springer Nature
ISSN : 1866-7511 eISSN : 1866-7538
Abbreviation : Arab. J. Geosci.
Aims & Scope
The Arabian Journal of Geosciences is the official journal of the Saudi Society for Geosciences and publishes peer-reviewed original and review articles on the entire range of Earth Science themes, focused on, but not limited to, those that have regional significance to the Middle East and the Euro-Mediterranean Zone.
Key topics therefore include; geology, hydrogeology, earth system science, petroleum sciences, geophysics, seismology and crustal structures, tectonics, sedimentology, palaeontology, metamorphic and igneous petrology, natural hazards, environmental sciences and sustainable development, geoarchaeology, geomorphology, paleo-environment studies, oceanography, atmospheric sciences, GIS and remote sensing, geodesy, mineralogy, volcanology, geochemistry and metallogenesis.
View Aims & ScopeAbstracting & 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 and Environmental Science, 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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Groundwater potential mapping at Kurdistan region of Iran using analytic hierarchy process and GIS
Citation: 508
Authors: Omid, Aliakbar, Mohamad, Hamid Reza, Hossein
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Application of frequency ratio, statistical index, and weights-of-evidence models and their comparison in landslide susceptibility mapping in Central Nepal Himalaya
Citation: 418
Authors: Amar Deep, Krishna Chandra, Kohki, Biswajeet, Hamid Reza, Takashi, Aykut
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Blasting-induced flyrock and ground vibration prediction through an expert artificial neural network based on particle swarm optimization
Citation: 338
Authors: D. Jahed, M., E. Tonnizam, A., S. A.
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Landslide susceptibility mapping at Vaz Watershed (Iran) using an artificial neural network model: a comparison between multilayer perceptron (MLP) and radial basic function (RBF) algorithms
Citation: 332
Authors: Mohammad, Hamid Reza, Mahdi, Biswajeet
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Hydrochemical appraisal of groundwater quality for drinking and irrigation purposes and the major influencing factors: a case study in and around Hua County, China
Citation: 299
Authors: Peiyue, Jianhua, Hui
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Application of probabilistic-based frequency ratio model in groundwater potential mapping using remote sensing data and GIS
Citation: 278
Authors: Mohamad Abd, Haleh, Biswajeet, Saro, Wan Nor Azmin, Mohammad Firuz
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Using correlation and multivariate statistical analysis to identify hydrogeochemical processes affecting the major ion chemistry of waters: a case study in Laoheba phosphorite mine in Sichuan, China
Citation: 276
Authors: Jianhua, Peiyue, Hui, Zhao, Xuedi
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Application of weights-of-evidence and certainty factor models and their comparison in landslide susceptibility mapping at Haraz watershed, Iran
Citation: 264
Authors: Hamid Reza, Biswajeet, Candan, Majid, Hamid Reza
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A knowledge-driven GIS modeling technique for groundwater potential mapping at the Upper Langat Basin, Malaysia
Citation: 257
Authors: Mohamad Abd, Wan Nor Azmin, Mohammad Firuz, Biswajeet, Noraini