Journal of Computational Science

SJR Rank #7,768H-index: 78SJR: 0.734Best quartile: Q1APC: US$3,560
Journal website: aims, scope and author guidelines
Publisher

Elsevier B.V.

Country

Netherlands

Type

journal

SJR by Edition

2022202500.20.40.60.8

Subject Categories

  • Modeling and SimulationQ1
  • Computer Science (miscellaneous)Q2
  • Theoretical Computer ScienceQ2

Areas: Computer Science · Mathematics

Most published research topics

Complex Network Analysis TechniquesDiverse Scientific and Economic StudiesHuman auditory perception and evaluationEducational Robotics and EngineeringLattice Boltzmann Simulation StudiesModel Reduction and Neural NetworksDistributed and Parallel Computing SystemsMetaheuristic Optimization Algorithms ResearchParallel Computing and Optimization TechniquesAdvanced Numerical Methods in Computational Mathematics

Source: OpenAlex

Publication Statistics

2025 Docs3-Year DocsCitable Docs0200400600800

Documents per Year

20222025060120180240

Detailed Information

ISSN

1877-7503

SJR Best Quartile

Q1

Region

Western Europe

Citations per Document (2 years)

4.41

References per Document

50.52

Coverage

2010-2026

Scope

Computational Science is a rapidly growing multi- and interdisciplinary field that uses advanced computing and data analysis to understand and solve complex problems. It has reached a level of predictive capability that now firmly complements the traditional pillars of experimentation and theory. The recent advances in experimental techniques such as detectors, on-line sensor networks and high-resolution imaging techniques, have opened up new windows into physical and biological processes at many levels of detail. The resulting data explosion allows for detailed data driven modeling and simulation. This new discipline in science combines computational thinking, modern computational methods, devices and collateral technologies to address problems far beyond the scope of traditional numerical methods. Computational science typically unifies three distinct elements: • Modeling, Algorithms and Simulations (e.g. numerical and non-numerical, discrete and continuous); • Software developed to solve science (e.g., biological, physical, and social), engineering, medicine, and humanities problems; • Computer and information science that develops and optimizes the advanced system hardware, software, networking, and data management components (e.g. problem solving environments).

Metrics from SCImago Journal Rank 2025. View on SCImago