Journal of Statistical Computation and Simulation
Taylor & Francis
About the journal
Journal of Statistical Computation and Simulation is a journal published by Taylor & Francis in Switzerland. 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
- Taylor & Francis
- ISSN
- 1026-7778 · 0094-9655
- Country
- Switzerland
- Access
- Not open access / not declared
- Declared peer-review model
- peer_review
- Official website
- https://www.tandfonline.com/toc/gscs20/current
Index listings
- PUBMED · 2009-01-01
- Indexing
- PUBMED
- APC
- —
- 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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Descriptive metadata from public sources (DOAJ, OpenAlex, PubMed) as of the capture date shown — contains no assessment or judgment.
Works in OpenAlex
5910
Last recorded publication year
2026
h-index
94
i10-index
1719
From OpenAlex open data (CC0).
Editorial & policy5
- Observed digital preservation (Keepers registry)— snapshot 2026-10-05
- CLOCKSSPortico
- Norwegian register (HK-dir)— 2026
- Level 1 — approved scholarly channel
- Open references deposited at Crossref
- 98%
- ORCID iDs in current deposits
- 30%
- Enrolled in Crossref Similarity Check
- ✓
- Deposits licence metadata at Crossref
- ✓
Identity & continuity2
- Alternate titles
- JSCSJournal of statistical computation and simulation (Online
- Source type
- journal
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 Statistical Methods and Models
- Advanced Statistical Methods and Models
- Statistical Methods and Inference
- Statistical Methods and Inference
- Statistical Distribution Estimation and Applications
- Statistical Distribution Estimation and Applications
- Statistical Methods and Bayesian Inference
- Statistical Methods and Bayesian Inference
Show all subjects (50)
- Bayesian Methods and Mixture Models
- Bayesian Methods and Mixture Models
- Advanced Statistical Process Monitoring
- Advanced Statistical Process Monitoring
- Probabilistic and Robust Engineering Design
- Probabilistic and Robust Engineering Design
- Financial Risk and Volatility Modeling
- Financial Risk and Volatility Modeling
- Optimal Experimental Design Methods
- Optimal Experimental Design Methods
- Statistical Methods in Clinical Trials
- Statistical Methods in Clinical Trials
- Diverse Scientific and Economic Studies
- Diverse Scientific and Economic Studies
- Human auditory perception and evaluation
- Human auditory perception and evaluation
- Educational Robotics and Engineering
- Educational Robotics and Engineering
- Scientific Measurement and Uncertainty Evaluation
- Scientific Measurement and Uncertainty Evaluation
- Control Systems and Identification
- Control Systems and Identification
- Reliability and Maintenance Optimization
- Reliability and Maintenance Optimization
- Fault Detection and Control Systems
- Fault Detection and Control Systems
- Monetary Policy and Economic Impact
- Monetary Policy and Economic Impact
- Statistical and numerical algorithms
- Statistical and numerical algorithms
- Probability and Risk Models
- Probability and Risk Models
- Hydrology and Drought Analysis
- Hydrology and Drought Analysis
- Spectroscopy and Chemometric Analyses
- Spectroscopy and Chemometric Analyses
- Spatial and Panel Data Analysis
- Spatial and Panel Data Analysis
- Complex Systems and Time Series Analysis
- Complex Systems and Time Series Analysis
- Soil Geostatistics and Mapping
- Soil Geostatistics and Mapping
Community confirmations — what users saw in MJL or Scopus Sources; not platform verification and never part of any score.
The journal's record in other sources:Web of Science MJLDOAJ