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Applied Computing and Geosciences is a peer-reviewed journal published by Elsevier, covering Geochemistry and Geologic Mapping, Mineral Processing and Grinding, Seismic Imaging and Inversion Techniques.
| Publisher | Elsevier |
|---|---|
| Reference style | Author–year (Harvard) Author–year — (Smith, 2023) in the text Smith, A., Jones, B. and Lee, C. (2023) 'A representative article title', Applied Computing and Geosciences, 12(3), pp. 45–58.
Formats any DOI in Applied Computing and Geosciences style. No sign-up. |
| Publishes research in | Geochemistry and Geologic Mapping Mineral Processing and Grinding Seismic Imaging and Inversion Techniques Hydrocarbon exploration and reservoir analysis Soil Geostatistics and Mapping |
| ISSN | 2590-1974 |
| Citation impact (2-yr) | 3.94 |
| h-index | 25 |
| i10-index | 70 |
| Total citations | 2,638 |
| Article processing charge | $1,500 |
| Open access | Yes |
| Top institutions publishing here | University of Idaho |
| Journal website | www.journals.elsevier.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Land surface temperature (LST) is an important parameter for the biosphere, cryosphere, and climate change studies. In this study, we estimate LST, NDMI, and NDWI over the Ravi basin, India, and parts of Pakistan, using Landsat-8 Operational Land Imager (OLI) and Thermal Infrared Sensor (TIRS) data. The study develops an ERDAS IMAGINE image processing method…
Several remote sensing based indices have been developed for studying vegetation using varied combinations of spectral bands. However, for regions like Gautam Buddha Nagar (GBN) district where the atmospheric condition is highly influenced by particulate matter loading and human-induced pollution, such indices produce faulty results because of the effects of scattering and absorption in the…
El Fierro intrusive body is one of the bodies that compose the La Jovita–Las Aguilas mafic–ultramafic belt, located in the Sierra Grande de San Luis, Argentina. The units of this belt carry a base metal sulfide (BMS) mineralization and platinum group minerals (PGM). The macroscopic description of mafic and ultramafic rocks, as is usually done…
Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) are revolutionizing hydrology, driving significant advancements in water resource management, modeling, and prediction. This review synthesizes cutting-edge developments, methodologies, and applications of AI-ML-DL across key hydrological processes. By critically evaluating these techniques against traditional models, we highlight their superior ability to capture complex, nonlinear relationships…
Rock type classification is one of the most crucial steps of geological and geotechnical core logging. In conventional core logging, rock type classification is subjective and time-consuming. This study aims to automate rock type classification using Machine Learning (ML). About 35 m of core samples from five different rock types obtained from an open pit…
