Natural Resources Research

Aims & Scope

This journal publishes quantitative studies of natural (mainly but not limited to mineral) resources exploration, evaluation and exploitation, including environmental and risk-related aspects.

Typical articles use geoscientific data or analyses to assess, test, or compare resource-related aspects.

NRR covers a wide variety of resources including minerals, coal, hydrocarbon, geothermal, water, and vegetation.

Case studies are welcome.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	5

SJR (SCImago Journal Rank)

Year	Value
2024	1.097

Quartile

Year	Value
2024	Q1

h-index

Year	Value
2024	76

Journal Rank

Year	Value
2024	4153

Journal Citation Indicator

Year	Value
2024	3207

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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 Environmental Science, 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.

• Ethanol Production Using Corn, Switchgrass, and Wood; Biodiesel Production Using Soybean and Sunflower

  Citation: 929

  Authors: David, Tad W.

• The Rare Earth Elements: Demand, Global Resources, and Challenges for Resourcing Future Generations

  Citation: 500

  Authors: Kathryn M., Frances, David

• Digital Economy as a Factor in the Technological Development of the Mineral Sector

  Citation: 404

  Authors: V. S.

• A Review and Evaluation of Specific Heat Capacities of Rocks, Minerals, and Subsurface Fluids. Part 1: Minerals and Nonporous Rocks

  Citation: 369

  Authors: Douglas W., Jacob S.

• Ethanol Fuels: Energy Balance, Economics, and Environmental Impacts Are Negative

  Citation: 338

  Authors: David

• Integrated Spatial and Spectrum Method for Geochemical Anomaly Separation

  Citation: 329

  Authors: Qiuming, Yaguang, Eric

• Artificial Neural Networks for Mineral-Potential Mapping: A Case Study from Aravalli Province, Western India

  Citation: 234

  Authors: Alok, E. J. M., M.

• Knowledge-Driven and Data-Driven Fuzzy Models for Predictive Mineral Potential Mapping

  Citation: 200

  Authors: Alok, E. J. M., M.

• Prediction of Blast-Induced Ground Vibration in an Open-Pit Mine by a Novel Hybrid Model Based on Clustering and Artificial Neural Network

  Citation: 176

  Authors: Hoang, Carsten, Xuan-Nam, Dieu Tien

• Machine Learning of Mineralization-Related Geochemical Anomalies: A Review of Potential Methods

  Citation: 176

  Authors: Renguang

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