About the journal
The American Statistician 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
- 0003-1305 · 1537-2731
- Country
- United States
- Access
- Not open access / not declared
- Declared peer-review model
- peer_review
Index listings
- PUBMED · 1995-01-01
- Indexing
- PUBMED
- APC
- —
- Declared review time (DOAJ)
- —
- Activity (OpenAlex)
- Active — latest works 2026
- PublishLens list status
- Shown after sign-in
- Counts for promotion at your university?
- Choose your university and rank below ↓
Methodology signals (dated facts from their sources)
Details of the evaluation under the published methodology are shown to signed-in users (free).
Create a free account to view the evaluationJournal profile
Descriptive metadata from public sources (DOAJ, OpenAlex, PubMed) as of the capture date shown — contains no assessment or judgment.
Works in OpenAlex
9002
Last recorded publication year
2026
h-index
211
i10-index
2474
From OpenAlex open data (CC0).
Editorial & policy5
- Observed digital preservation (Keepers registry)— snapshot 2026-09-21
- CLOCKSSPortico
- Norwegian register (HK-dir)— 2026
- Level 1 — approved scholarly channel
- Open references deposited at Crossref
- 90%
- ORCID iDs in current deposits
- 68%
- Enrolled in Crossref Similarity Check
- ✓
- Deposits licence metadata at Crossref
- ✓
Identity & continuity3
- Source type
- journal
- NLM unique ID (PubMed)
- 0070454
- Society affiliations
- American Statistical Association
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
- Statistics Education and Methodologies
- Statistics Education and Methodologies
- Human auditory perception and evaluation
- Human auditory perception and evaluation
- Statistical Methods and Bayesian Inference
- Statistical Methods and Bayesian Inference
Show all subjects (50)
- Diverse Scientific and Economic Studies
- Diverse Scientific and Economic Studies
- Statistical Methods and Inference
- Statistical Methods and Inference
- Census and Population Estimation
- Census and Population Estimation
- Data Analysis with R
- Data Analysis with R
- Statistical Methods in Clinical Trials
- Statistical Methods in Clinical Trials
- Bayesian Methods and Mixture Models
- Educational Robotics and Engineering
- Bayesian Methods and Mixture Models
- Educational Robotics and Engineering
- Statistical Distribution Estimation and Applications
- Statistical Distribution Estimation and Applications
- Optimal Experimental Design Methods
- Optimal Experimental Design Methods
- Advanced Statistical Process Monitoring
- Advanced Statistical Process Monitoring
- Pharmacy and Medical Practices
- Pharmacy and Medical Practices
- Educational Reforms and Innovations
- Educational Reforms and Innovations
- Forecasting Techniques and Applications
- Forecasting Techniques and Applications
- Bayesian Modeling and Causal Inference
- Bayesian Modeling and Causal Inference
- Veterinary Practice and Education Studies
- Veterinary Practice and Education Studies
- Sports Analytics and Performance
- Advanced Causal Inference Techniques
- Sports Analytics and Performance
- Statistical and numerical algorithms
- Statistical and numerical algorithms
- Advanced Causal Inference Techniques
- Statistical Methods and Applications
- Statistical Methods and Applications
- Meta-analysis and systematic reviews
- Meta-analysis and systematic reviews
- Legal case studies and regulations
- Legal case studies and regulations
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