Computational Geosciences

SJR Rank #10,844H-index: 86SJR: 0.547Best quartile: Q2APC: US$3,290
Journal website: aims, scope and author guidelines
Publisher

Springer Science and Business Media Deutschland GmbH

Country

Germany

Type

journal

SJR by Edition

2022202500.250.50.751

Subject Categories

  • Computational MathematicsQ2
  • Computational Theory and MathematicsQ2
  • Computer Science ApplicationsQ2
  • Computers in Earth SciencesQ2

Areas: Computer Science · Earth and Planetary Sciences · Mathematics

Most published research topics

Reservoir Engineering and Simulation MethodsHydraulic Fracturing and Reservoir AnalysisAdvanced Numerical Methods in Computational MathematicsGroundwater flow and contamination studiesEnhanced Oil Recovery TechniquesAdvanced Mathematical Modeling in EngineeringSeismic Imaging and Inversion TechniquesCO2 Sequestration and Geologic InteractionsHydrocarbon exploration and reservoir analysisDrilling and Well Engineering

Source: OpenAlex

Publication Statistics

2025 Docs3-Year DocsCitable Docs060120180240

Documents per Year

202220250255075100

Detailed Information

ISSN

1573-1499, 1420-0597

SJR Best Quartile

Q2

Region

Western Europe

Citations per Document (2 years)

2.38

References per Document

51.20

Coverage

1997-2026

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.

Metrics from SCImago Journal Rank 2025. View on SCImago