Journal of Scientific Computing

Springer Science+Business Media

Journal websitePeer review: Peer review
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About the journal

Journal of Scientific Computing is a journal published by Springer Science+Business Media in Netherlands. It is listed in PUBMED according to the sources read. Declared publication charge: 2,990 EUR. Facts are reproduced as recorded at their sources with their capture dates; PublishLens indicators are available after sign-in.

Basic facts

Publisher
Springer Science+Business Media
ISSN
0885-7474 · 1573-7691
Country
Netherlands
Access
Not open access / not declared
Declared publication charge
2,990 EUR
Declared peer-review model
peer_review

Index listings

  • PUBMED · 2008-06-01
Indexing
PUBMED
APC
2,990 EUR
Declared review time (DOAJ)
—
Activity (OpenAlex)
Active — latest works 2026
PublishLens list status
Shown after sign-in
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Methodology signals (dated facts from their sources)

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Journal profile

Descriptive metadata from public sources (DOAJ, OpenAlex, PubMed) as of the capture date shown — contains no assessment or judgment.

Works in OpenAlex

4873

Last recorded publication year

2026

Reported by OpenAlex in 1 of 3 sources (CC0 flags, not verified indexing)DOAJSciELOOpenAlex Core

h-index

119

i10-index

2218

From OpenAlex open data (CC0).

Editorial & policy6
Observed digital preservation (Keepers registry)— snapshot 2026-10-05
CLOCKSSPortico
Editorial board
Official page ↗
Norwegian register (HK-dir)— 2026
Level 1 — approved scholarly channel
Open references deposited at Crossref
98%
ORCID iDs in current deposits
81%
Enrolled in Crossref Similarity Check
✓
Deposits licence metadata at Crossref
✓
Identity & continuity2
Source type
journal
NLM unique ID (PubMed)
9882378
Classification(no data)

No data available to the platform for this group

No platform data for: Classification — absence is not a judgment about the journal.

Subject areas

  • Advanced Numerical Methods in Computational Mathematics
  • Advanced Numerical Methods in Computational Mathematics
  • Computational Fluid Dynamics and Aerodynamics
  • Computational Fluid Dynamics and Aerodynamics
  • Numerical methods for differential equations
  • Numerical methods for differential equations
  • Numerical methods in engineering
  • Numerical methods in engineering
Show all subjects (50)
  • Advanced Mathematical Modeling in Engineering
  • Advanced Mathematical Modeling in Engineering
  • Differential Equations and Numerical Methods
  • Differential Equations and Numerical Methods
  • Fluid Dynamics and Turbulent Flows
  • Fluid Dynamics and Turbulent Flows
  • Electromagnetic Simulation and Numerical Methods
  • Electromagnetic Simulation and Numerical Methods
  • Model Reduction and Neural Networks
  • Model Reduction and Neural Networks
  • Fractional Differential Equations Solutions
  • Fractional Differential Equations Solutions
  • Matrix Theory and Algorithms
  • Numerical methods in inverse problems
  • Matrix Theory and Algorithms
  • Numerical methods in inverse problems
  • Sparse and Compressive Sensing Techniques
  • Sparse and Compressive Sensing Techniques
  • Gas Dynamics and Kinetic Theory
  • Gas Dynamics and Kinetic Theory
  • Electromagnetic Scattering and Analysis
  • Electromagnetic Scattering and Analysis
  • Lattice Boltzmann Simulation Studies
  • Lattice Boltzmann Simulation Studies
  • Advanced Optimization Algorithms Research
  • Advanced Optimization Algorithms Research
  • Image and Signal Denoising Methods
  • Image and Signal Denoising Methods
  • Probabilistic and Robust Engineering Design
  • Probabilistic and Robust Engineering Design
  • Advanced Numerical Analysis Techniques
  • Advanced Numerical Analysis Techniques
  • Solidification and crystal growth phenomena
  • Solidification and crystal growth phenomena
  • Meteorological Phenomena and Simulations
  • Meteorological Phenomena and Simulations
  • Tensor decomposition and applications
  • Tensor decomposition and applications
  • Navier-Stokes equation solutions
  • Navier-Stokes equation solutions
  • Stochastic Gradient Optimization Techniques
  • Stochastic Gradient Optimization Techniques

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Everything shown here is produced automatically from named sources (DOAJ, OpenAlex, Crossref, PubMed, the Norwegian register) as of its capture date, with no human editing. Facts appear as recorded at the source; derived scores (PCI, PTD, PublishLens score) follow a published methodology. Not a judgement on the journal, not an official accreditation, not advice.

Wrong items are corrected automatically by re-reading the source (24 h for daily sources, 7 days for weekly ones) with a dated change log, and each item links to its source record. PublishLens-derived assessments are contested through the appeals mechanism (15 working days). Appeals · Indicator guide

Norwegian register data: Kanalregisteret (HK-dir, Norway) — CC BY 4.0 / NLOD — adapted: level extracted per year · OASPA member list — CC BY

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