Geoderma Regional

Aims & Scope

Global issues require studies and solutions on national and regional levels.

Geoderma Regional focuses on studies that increase understanding and advance our scientific knowledge of soils in all regions of the world.

The journal embraces every aspect of soil science and welcomes reviews of regional progress.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	3.3

Journal Rank

Year	Value
2024	5463

Journal Citation Indicator

Year	Value
2024	1416

SJR (SCImago Journal Rank)

Year	Value
2024	0.927

Quartile

Year	Value
2024	Q1

h-index

Year	Value
2024	45

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Agricultural and Biological Sciences, designed to support cutting-edge academic discovery.

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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.

• Soils and sustainable development goals of the United Nations: An International Union of Soil Sciences perspective

  Citation: 282

  Authors: Rattan, Johan, Eric, Lorna, Damien J., Bruno, Ryusuke, Alfred E., Takashi, Bruce, Curtis, Cristine, Georges Martial, Stefan, Xicai, Remigio, Laura Bertha, Taru, Bal Ram, Heide, Junta, Jiabao

• Using deep learning to predict soil properties from regional spectral data

  Citation: 267

  Authors: J., B., A.B.

• Evaluating Digital Soil Mapping approaches for mapping GlobalSoilMap soil properties from legacy data in Languedoc-Roussillon (France)

  Citation: 170

  Authors: K., P.

• Assessment of soil erosion using RUSLE, GIS and remote sensing in NW Ethiopia

  Citation: 164

  Authors: Mengesha, Mohammed S., Demeke, Anwar A., Mindesilew

• Regional scale soil salinity evaluation using Landsat 7, western San Joaquin Valley, California, USA

  Citation: 145

  Authors: Elia, Todd H., Dennis L.

• Spatial prediction of major soil properties using Random Forest techniques - A case study in semi-arid tropics of South India

  Citation: 136

  Authors: S., Rajendra, S.K.

• Spatial prediction of soil organic carbon using machine learning techniques in western Iran

  Citation: 116

  Authors: Hamid, Hamid Reza, Ruhollah, Ruth

• Digital mapping of soil organic carbon using ensemble learning model in Mollisols of Hyrcanian forests, northern Iran

  Citation: 108

  Authors: Samaneh, Shamsollah, Mojtaba

• Mapping soil salinity changes using remote sensing in Central Iraq

  Citation: 108

  Authors: Weicheng, Ahmad S., Waleed M., Feras, Boubaker, Vinay, Eddy

• Soil loss estimation using RUSLE model, GIS and remote sensing techniques: A case study from the Dembecha Watershed, Northwestern Ethiopia

  Citation: 97

  Authors: Yaser, Shoja, Hossein-Ali, Mehdi, Jose Alexandre Melo

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