Journal of Geophysics and Engineering

Aims & Scope

Journal of Geophysics and Engineering aims to promote research and developments in geophysics and related areas of engineering.

It has a predominantly applied science and engineering focus, but solicits and accepts high-quality contributions in all earth-physics disciplines, including geodynamics, natural and controlled-source seismology, oil, gas and mineral exploration, petrophysics and reservoir geophysics.

The journal covers those aspects of engineering that are closely related to geophysics, or on the targets and problems that geophysics addresses.

Typically, this is engineering focused on the subsurface, particularly petroleum engineering, rock mechanics, geophysical software engineering, drilling technology, remote sensing, instrumentation and sensor design.

Metrics & Ranking

Abstracting & Indexing

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

• Scopus
• Google Scholar
• Directory of Open Access Journals (DOAJ)
• Web of Science

Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Earth and Planetary Sciences, Engineering 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.

Policy Links

This section provides access to essential policy documents, guidelines, and resources related to the journal’s publication and submission processes.

• Aims scope
• Homepage
• Oa statement
• Author instructions
• License terms
• Review url
• Board url
• Copyright url
• Plagiarism url
• Preservation url
• Apc url
• License

Plagiarism Policy

This journal follows a plagiarism policy. All submitted manuscripts are screened using reliable plagiarism detection software to ensure originality and academic integrity. Authors are responsible for proper citation and acknowledgment of all sources, and any form of plagiarism, including self-plagiarism, will not be tolerated.

For more details, please refer to our official: Plagiarism Policy.

APC Details

The journal’s Article Processing Charge (APC) policies support open access publishing in Earth and Planetary Sciences, Engineering and Environmental Science, ensuring accessibility and quality in research dissemination.

This journal requires an Article Processing Charge (APC) to support open access publishing, covering peer review, editing, and distribution. The current APC is 1,550.00 USD. Learn more.

Explore journals without APCs for alternative publishing options.

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.

• Statistical correlations of shear wave velocity and penetration resistance for soils

  Citation: 176

  Authors: Ãœnal

• Estimating permeability using median pore-throat radius obtained from mercury intrusion porosimetry

  Citation: 157

  Authors: Zhiye, Qinhong

• Relationships between permeability, porosity and pore throat size in carbonate rocks using regression analysis and neural networks

  Citation: 138

  Authors: M R, A, E

• A shale rock physics model for analysis of brittleness index, mineralogy and porosity in the Barnett Shale

  Citation: 119

  Authors: Zhiqi, Xiang-Yang, Cai, Xuan, Ye

• A fuzzy logic approach for estimation of permeability and rock type from conventional well log data: an example from the Kangan reservoir in the Iran Offshore Gas Field

  Citation: 113

  Authors: Ali Kadkhodaie, Mohammadreza, Seyed Ali

• Drilling rate prediction from petrophysical logs and mud logging data using an optimized multilayer perceptron neural network

  Citation: 109

  Authors: Mohammad, Ahmad, Behzad, Abdollah, Aram

• Fusion of finite element and machine learning methods to predict rock shear strength parameters

  Citation: 107

  Authors: Defu, Biaobiao, Deyu, Yujiang

• Evaluating thermal response tests using parameter estimation for thermal conductivity and thermal capacity

  Citation: 98

  Authors: Roland, Christoph

• Effects of fracture aperture and roughness on hydraulic and mechanical properties of rocks: implication of seismic characterization of fractured reservoirs

  Citation: 93

  Authors: Enru

• Satellite radar interferometry for monitoring and early-stage warning of structural instability in archaeological sites

  Citation: 88

  Authors: D, R, R, P, N