SciPost Physics Codebases

SciPost

Journal websitePeer review: Open review
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About the journal

SciPost Physics Codebases is an open-access journal published by SciPost in Netherlands, publishing in english. It is listed in DOAJ according to the sources read. Declared review time at DOAJ: 20 weeks. Facts are reproduced as recorded at their sources with their capture dates; PublishLens indicators are available after sign-in.

Basic facts

Publisher
SciPost
ISSN
2949-804X
Country
Netherlands
Languages
english
Access
Open access
Articles in DOAJ
0
Declared review time
20 weeks
Declared peer-review model
open_review

Index listings

  • DOAJ · 2026-03-11
Indexing
DOAJ
APC
—
Declared review time (DOAJ)
20 weeks — journal-declared only (not measured)
Activity (OpenAlex)
Active — latest works 2026
PublishLens list status
Shown after sign-in
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Methodology signals (dated facts from their sources)

Details of the evaluation under the published methodology are shown to signed-in users (free).

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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.

Articles in DOAJ

0

Average review time (journal-declared via DOAJ)

20weeks

Works in OpenAlex

156

Last recorded publication year

2026

Reported by OpenAlex in 2 of 3 sources (CC0 flags, not verified indexing)DOAJSciELOOpenAlex Core

h-index

15

i10-index

23

From OpenAlex open data (CC0).

Editorial & policy10
Added to DOAJ
2026-03-11
Declared plagiarism screening
Declared
Other fees beyond APC
No
Declared digital preservation
CLOCKSS
Observed digital preservation (Keepers registry)— snapshot 2026-10-05
CLOCKSS
Editorial board
Official page ↗
Open references deposited at Crossref
99%
ORCID iDs in current deposits
90%
Enrolled in Crossref Similarity Check
✓
Deposits licence metadata at Crossref
✓
Peer-review policy
View policy
Identity & continuity1
Source type
journal
Classification2

Subjects (DOAJ)

Science: Physics

LCC codes

QC1-999

Subject areas

  • Quantum many-body systems
  • Particle physics theoretical and experimental studies
  • Particle physics theoretical and experimental studies
  • Particle physics theoretical and experimental studies
  • Quantum Computing Algorithms and Architecture
  • Physics of Superconductivity and Magnetism
  • Physics of Superconductivity and Magnetism
  • Computational Physics and Python Applications
Show all subjects (75)
  • Quantum many-body systems
  • Physics of Superconductivity and Magnetism
  • Quantum Chromodynamics and Particle Interactions
  • Theoretical and Computational Physics
  • Quantum many-body systems
  • High-Energy Particle Collisions Research
  • Quantum Chromodynamics and Particle Interactions
  • Computational Physics and Python Applications
  • Quantum and electron transport phenomena
  • Quantum and electron transport phenomena
  • High-Energy Particle Collisions Research
  • Quantum Chromodynamics and Particle Interactions
  • Computational Physics and Python Applications
  • Advanced Chemical Physics Studies
  • High-Energy Particle Collisions Research
  • Parallel Computing and Optimization Techniques
  • Numerical methods for differential equations
  • Tensor decomposition and applications
  • Parallel Computing and Optimization Techniques
  • Particle Detector Development and Performance
  • Tensor decomposition and applications
  • Advanced Data Storage Technologies
  • Cold Atom Physics and Bose-Einstein Condensates
  • Semiconductor Quantum Structures and Devices
  • Machine Learning in Materials Science
  • Advanced Data Storage Technologies
  • Tensor decomposition and applications
  • Advanced Condensed Matter Physics
  • Quantum Computing Algorithms and Architecture
  • Scientific Computing and Data Management
  • Parallel Computing and Optimization Techniques
  • Advanced Condensed Matter Physics
  • Cold Atom Physics and Bose-Einstein Condensates
  • Quantum and electron transport phenomena
  • Theoretical and Computational Physics
  • Distributed and Parallel Computing Systems
  • Theoretical and Computational Physics
  • Distributed and Parallel Computing Systems
  • Scientific Computing and Data Management
  • Quantum Computing Algorithms and Architecture
  • Cold Atom Physics and Bose-Einstein Condensates
  • Advancements in Semiconductor Devices and Circuit Design
  • Scientific Computing and Data Management
  • Quantum, superfluid, helium dynamics
  • Particle Detector Development and Performance
  • Particle Detector Development and Performance
  • Advancements in Semiconductor Devices and Circuit Design
  • Spectroscopy and Quantum Chemical Studies
  • Quantum, superfluid, helium dynamics
  • Machine Learning in Materials Science
  • Advancements in Semiconductor Devices and Circuit Design
  • Advanced Chemical Physics Studies
  • Black Holes and Theoretical Physics
  • Advanced Condensed Matter Physics
  • Topological Materials and Phenomena
  • Nuclear physics research studies
  • Black Holes and Theoretical Physics
  • Spectroscopy and Quantum Chemical Studies
  • Model Reduction and Neural Networks
  • Model Reduction and Neural Networks
  • Advanced Chemical Physics Studies
  • Markov Chains and Monte Carlo Methods
  • Semiconductor Quantum Structures and Devices
  • Semiconductor Quantum Structures and Devices
  • Strong Light-Matter Interactions
  • Quantum Mechanics and Applications
  • Neutrino Physics Research

Keywords (DOAJ)

  • physics
  • software
  • numerics
  • algorithms
  • codebases
  • computational physics

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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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