SIAM Journal on Scientific Computing

Society for Industrial and Applied Mathematics

Not yet evaluated

About the journal

SIAM Journal on Scientific Computing is a journal published by Society for Industrial and Applied Mathematics in United States. It is listed in PUBMED according to the sources read. Facts are reproduced as recorded at their sources with their capture dates; PublishLens indicators are available after sign-in.

Basic facts

Publisher
Society for Industrial and Applied Mathematics
ISSN
1064-8275 · 1095-7197
Country
United States
Access
Not open access / not declared

Index listings

  • PUBMED · 2008-10-13
Indexing
PUBMED
APC
—
Declared review time (DOAJ)
—
Activity (OpenAlex)
Active — latest works 2026
PublishLens list status
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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

5844

Last recorded publication year

2026

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

h-index

209

i10-index

3709

From OpenAlex open data (CC0).

Editorial & policy5
Observed digital preservation (Keepers registry)— snapshot 2026-09-21
CLOCKSSPortico
Norwegian register (HK-dir)— 2027
Level 2 — top tier (~20% of the field's channels)
Open references deposited at Crossref
100%
ORCID iDs in current deposits
88%
Enrolled in Crossref Similarity Check
✓
Identity & continuity3
Alternate titles
Society for Industrial and Applied Mathematics journal on scientific computingSIAM j. sci. comput
Source type
journal
NLM unique ID (PubMed)
9888470
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
  • Matrix Theory and Algorithms
  • Matrix Theory and Algorithms
  • Numerical methods for differential equations
  • Numerical methods for differential equations
  • Computational Fluid Dynamics and Aerodynamics
  • Computational Fluid Dynamics and Aerodynamics
Show all subjects (50)
  • Electromagnetic Scattering and Analysis
  • Electromagnetic Scattering and Analysis
  • Model Reduction and Neural Networks
  • Model Reduction and Neural Networks
  • Electromagnetic Simulation and Numerical Methods
  • Electromagnetic Simulation and Numerical Methods
  • Numerical methods in engineering
  • Numerical methods in engineering
  • Advanced Mathematical Modeling in Engineering
  • Advanced Mathematical Modeling in Engineering
  • Probabilistic and Robust Engineering Design
  • Probabilistic and Robust Engineering Design
  • Numerical methods in inverse problems
  • Numerical methods in inverse problems
  • Fluid Dynamics and Turbulent Flows
  • Fluid Dynamics and Turbulent Flows
  • Advanced Optimization Algorithms Research
  • Advanced Optimization Algorithms Research
  • Sparse and Compressive Sensing Techniques
  • Sparse and Compressive Sensing Techniques
  • Differential Equations and Numerical Methods
  • Differential Equations and Numerical Methods
  • Gas Dynamics and Kinetic Theory
  • Gas Dynamics and Kinetic Theory
  • Advanced Numerical Analysis Techniques
  • Advanced Numerical Analysis Techniques
  • Lattice Boltzmann Simulation Studies
  • Lattice Boltzmann Simulation Studies
  • Parallel Computing and Optimization Techniques
  • Parallel Computing and Optimization Techniques
  • Tensor decomposition and applications
  • Tensor decomposition and applications
  • Numerical Methods and Algorithms
  • Numerical Methods and Algorithms
  • Image and Signal Denoising Methods
  • Image and Signal Denoising Methods
  • Computational Geometry and Mesh Generation
  • Computational Geometry and Mesh Generation
  • Fractional Differential Equations Solutions
  • Fractional Differential Equations Solutions
  • Stochastic Gradient Optimization Techniques
  • Stochastic Gradient Optimization Techniques

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The journal's record in other sources:Web of Science MJLDOAJ

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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