About the journal
Statistics and 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: 2,690 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
- 0960-3174 · 1573-1375
- Country
- Netherlands
- Access
- Not open access / not declared
- Declared publication charge
- 2,690 EUR
- Declared peer-review model
- peer_review
- Official website
- http://www.springerlink.com/content/100219/
Index listings
- PUBMED · 2010-04-01
- Indexing
- PUBMED
- APC
- 2,690 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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Descriptive metadata from public sources (DOAJ, OpenAlex, PubMed) as of the capture date shown — contains no assessment or judgment.
Works in OpenAlex
2630
Last recorded publication year
2026
h-index
122
i10-index
1032
From OpenAlex open data (CC0).
Editorial & policy5
- Observed digital preservation (Keepers registry)— snapshot 2026-10-05
- CLOCKSSPortico
- Norwegian register (HK-dir)— 2027
- Level 2 — top tier (~20% of the field's channels)
- Open references deposited at Crossref
- 99%
- ORCID iDs in current deposits
- 12%
- Enrolled in Crossref Similarity Check
- ✓
- Deposits licence metadata at Crossref
- ✓
Identity & continuity2
- Source type
- journal
- NLM unique ID (PubMed)
- 101473218
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
- Markov Chains and Monte Carlo Methods
- Statistical Methods and Inference
- Statistical Methods and Inference
- Statistical Methods and Inference
- Bayesian Methods and Mixture Models
- Bayesian Methods and Mixture Models
- Statistical Methods and Bayesian Inference
- Statistical Methods and Bayesian Inference
Show all subjects (75)
- Statistical Methods and Bayesian Inference
- Statistical Methods and Applications
- Bayesian Methods and Mixture Models
- Advanced Statistical Methods and Models
- Statistical Distribution Estimation and Applications
- Gaussian Processes and Bayesian Inference
- Advanced Statistical Methods and Models
- Advanced Statistical Methods and Models
- Markov Chains and Monte Carlo Methods
- Markov Chains and Monte Carlo Methods
- Probability and Statistical Research
- Gaussian Processes and Bayesian Inference
- Gaussian Processes and Bayesian Inference
- Statistical Distribution Estimation and Applications
- Probabilistic and Robust Engineering Design
- Statistical Distribution Estimation and Applications
- Probabilistic and Robust Engineering Design
- Advanced Clustering Algorithms Research
- Spatial and Panel Data Analysis
- Bayesian Modeling and Causal Inference
- Financial Risk and Volatility Modeling
- Financial Risk and Volatility Modeling
- Data Analysis with R
- Optimal Experimental Design Methods
- Optimal Experimental Design Methods
- Bayesian Modeling and Causal Inference
- Bayesian Modeling and Causal Inference
- Optimal Experimental Design Methods
- Statistical and numerical algorithms
- Soil Geostatistics and Mapping
- Soil Geostatistics and Mapping
- Point processes and geometric inequalities
- Simulation Techniques and Applications
- Advanced Multi-Objective Optimization Algorithms
- Advanced Multi-Objective Optimization Algorithms
- Sparse and Compressive Sensing Techniques
- Sparse and Compressive Sensing Techniques
- Control Systems and Identification
- Control Systems and Identification
- Statistical and numerical algorithms
- Statistical and numerical algorithms
- Target Tracking and Data Fusion in Sensor Networks
- Neural Networks and Applications
- Target Tracking and Data Fusion in Sensor Networks
- Neural Networks and Applications
- Advanced Clustering Algorithms Research
- Target Tracking and Data Fusion in Sensor Networks
- Face and Expression Recognition
- Advanced Clustering Algorithms Research
- Face and Expression Recognition
- Sparse and Compressive Sensing Techniques
- Advanced Statistical Process Monitoring
- Advanced Statistical Process Monitoring
- Spectroscopy and Chemometric Analyses
- Spectroscopy and Chemometric Analyses
- Statistical Methods in Clinical Trials
- Statistical Methods in Clinical Trials
- Financial Risk and Volatility Modeling
- Stochastic Gradient Optimization Techniques
- Statistical Methods in Clinical Trials
- Advanced Statistical Process Monitoring
- Stochastic processes and financial applications
- Data Management and Algorithms
- Gene expression and cancer classification
- Data Management and Algorithms
- Gene expression and cancer classification
- Mathematical Approximation and Integration
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The journal's record in other sources:Web of Science MJLDOAJ