Communications in Statistics - Simulation and Computation
Taylor & Francis
About the journal
Communications in Statistics - Simulation and Computation is a journal published by Taylor & Francis 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
- Taylor & Francis
- ISSN
- 0361-0918 · 1532-4141
- Country
- United States
- Access
- Not open access / not declared
- Declared peer-review model
- peer_review
- Official website
- https://www.tandfonline.com/toc/lssp20/current
Index listings
- PUBMED · 2012-01-01
- 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
7299
Last recorded publication year
2026
h-index
88
i10-index
1843
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
- 100%
- ORCID iDs in current deposits
- 45%
- Enrolled in Crossref Similarity Check
- ✓
- Deposits licence metadata at Crossref
- ✓
Identity & continuity3
- Alternate titles
- Simulation and computation
- Source type
- journal
- NLM unique ID (PubMed)
- 101570578
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 Methods and Bayesian Inference
- Statistical Methods and Bayesian Inference
- Statistical Distribution Estimation and Applications
- Statistical Distribution Estimation and Applications
Show all subjects (50)
- Advanced Statistical Process Monitoring
- Advanced Statistical Process Monitoring
- Bayesian Methods and Mixture Models
- Bayesian Methods and Mixture Models
- Optimal Experimental Design Methods
- Optimal Experimental Design Methods
- Financial Risk and Volatility Modeling
- Financial Risk and Volatility Modeling
- Probabilistic and Robust Engineering Design
- Probabilistic and Robust Engineering Design
- Statistical Methods in Clinical Trials
- Statistical Methods in Clinical Trials
- Scientific Measurement and Uncertainty Evaluation
- Scientific Measurement and Uncertainty Evaluation
- Control Systems and Identification
- Control Systems and Identification
- Fault Detection and Control Systems
- Fault Detection and Control Systems
- Reliability and Maintenance Optimization
- Reliability and Maintenance Optimization
- Spectroscopy and Chemometric Analyses
- Spectroscopy and Chemometric Analyses
- Survey Sampling and Estimation Techniques
- Probability and Risk Models
- Probability and Risk Models
- Survey Sampling and Estimation Techniques
- Statistical and numerical algorithms
- Statistical and numerical algorithms
- Monetary Policy and Economic Impact
- Monetary Policy and Economic Impact
- Advanced Multi-Objective Optimization Algorithms
- Advanced Multi-Objective Optimization Algorithms
- Spatial and Panel Data Analysis
- Spatial and Panel Data Analysis
- Hydrology and Drought Analysis
- Hydrology and Drought Analysis
- Soil Geostatistics and Mapping
- Stochastic processes and financial applications
- Soil Geostatistics and Mapping
- Stochastic processes and financial applications
- Fuzzy Systems and Optimization
- Fuzzy Systems and Optimization
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