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Updated: Jun 5, 2025
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Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
Published on: October 24, 2019
31.1K
Visualized analysis of microscale rock mechanism research: A bibliometric data mining approach
Junhui Chen1,2,3,4, Fei Tang1,2,3
1Island Research Center, MNR, Fuzhou, Fujian, China.
Heliyon
|December 6, 2024
Summary
This study maps microscale rock mechanics research using bibliometrics. It identifies key themes and proposes future research directions, including AI for fracture prediction, to advance rock engineering.
Area of Science:
- Geosciences
- Engineering
- Materials Science
Background:
- Rock mechanics is crucial for resource retrieval and disaster mitigation.
- Microscale rock mechanics offers strategic insights for rock engineering.
- Understanding rock behavior at the microscale is essential for predicting macroscopic responses.
Purpose of the Study:
- To map the scientific production in microscale rock mechanics.
- To analyze the performance and trends in the existing literature.
- To identify research gaps and propose a future research agenda.
Main Methods:
- Bibliometric analysis of scientific literature.
- Text mining to reveal conceptual themes.
- Visualization of research landscape.
Main Results:
- Identified four central themes: fluid flow in porous media, fracture characterization, deformation mechanisms, and mechanical properties under extreme conditions.
- Revealed the conceptual fabric of microscale rock mechanics research.
- Highlighted key areas of scientific production and their interconnections.
Conclusions:
- Proposed a future research agenda focusing on integrating geological processes, multiscale modeling for heterogeneity, and AI for fracture prediction.
- Emphasized the need to address identified research gaps for advancing the field.
- This comprehensive approach will enrich the understanding and application of microscale rock mechanics.
