Computational Geosciences

Aims & Scope

Computational Geosciences publishes high quality papers on mathematical modeling, simulation, numerical analysis, and other computational aspects of the geosciences.

In particular the journal is focused on advanced numerical methods for the simulation of subsurface flow and transport, and associated aspects such as discretization, gridding, upscaling, optimization, data assimilation, uncertainty assessment, and high performance parallel and grid computing.

Papers treating similar topics but with applications to other fields in the geosciences, such as geomechanics, geophysics, oceanography, or meteorology, will also be considered.

The journal provides a platform for interaction and multidisciplinary collaboration among diverse scientific groups, from both academia and industry, which share an interest in developing mathematical models and efficient algorithms for solving them, such as mathematicians, engineers, chemists, physicists, and geoscientists.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	2

Journal Rank

Year	Value
2024	8592

Journal Citation Indicator

Year	Value
2024	774

SJR (SCImago Journal Rank)

Year	Value
2024	0.666

Quartile

Year	Value
2024	Q2

h-index

Year	Value
2024	82

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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 Computer Science, Earth and Planetary Sciences and Mathematics, 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.

• Recent progress on reservoir history matching: a review

  Citation: 611

  Authors: Dean S., Yan

• Reactive transport codes for subsurface environmental simulation

  Citation: 605

  Authors: C. I., C. A. J., B., D., T., O., V., P. C., K. U., J. C. L., S., D., H., J., N., S. B., G. T.

• An Introduction to Multipoint Flux Approximations for Quadrilateral Grids

  Citation: 449

  Authors: Ivar

• Application of a particle swarm optimization algorithm for determining optimum well location and type

  Citation: 370

  Authors: Jérôme E., Louis J.

• Multiphase lattice Boltzmann simulations for porous media applications

  Citation: 362

  Authors: Haihu, Qinjun, Christopher R., Sebastian, Ariel, Bruce D., John R., Albert J., Jens

• A benchmark study on problems related to CO2 storage in geologic formations

  Citation: 360

  Authors: Holger, Anozie, Rainer, Helge K., Jan M., Michael A., Pascal, Melanie, Jonathan, Yaqing, Bernd, Sarah E., Min, Stefanie, Diane, Ali, Rajesh J., Adil, Sunil G., Laurent, Lingli

• Open-source MATLAB implementation of consistent discretisations on complex grids

  Citation: 315

  Authors: Knut–Andreas, Stein, Ingeborg Skjelkvåle, Jostein Roald, Halvor Møll, Bård

• Finite volume discretization with imposed flux continuity for the general tensor pressure equation

  Citation: 315

  Authors: Michael G., Clive F.

• Levenberg–Marquardt forms of the iterative ensemble smoother for efficient history matching and uncertainty quantification

  Citation: 280

  Authors: Yan, Dean S.

• Improved energy estimates for interior penalty, constrained and discontinuous Galerkin methods for elliptic problems. Part I

  Citation: 262

  Authors: Béatrice, Mary F., Vivette

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