Technometrics

Taylor & Francis

Journal websitePeer review: Peer review
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About the journal

Technometrics is a journal published by Taylor & Francis in United Kingdom. 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
0040-1706 · 1537-2723
Country
United Kingdom
Access
Not open access / not declared
Declared peer-review model
peer_review

Index listings

  • PUBMED · 2005-05-01
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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Journal profile

Descriptive metadata from public sources (DOAJ, OpenAlex, PubMed) as of the capture date shown — contains no assessment or judgment.

Works in OpenAlex

12249

Last recorded publication year

2025

Reported by OpenAlex in 1 of 3 sources (CC0 flags, not verified indexing)DOAJSciELOOpenAlex Core

h-index

502

i10-index

6109

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
86%
ORCID iDs in current deposits
62%
Enrolled in Crossref Similarity Check
✓
Deposits licence metadata at Crossref
✓
Identity & continuity2
Source type
journal
NLM unique ID (PubMed)
0404554
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
  • Optimal Experimental Design Methods
  • Optimal Experimental Design Methods
  • Advanced Statistical Process Monitoring
  • Advanced Statistical Process Monitoring
  • Statistical Distribution Estimation and Applications
  • Statistical Distribution Estimation and Applications
Show all subjects (50)
  • Probabilistic and Robust Engineering Design
  • Probabilistic and Robust Engineering Design
  • Statistical Methods and Bayesian Inference
  • Statistical Methods and Bayesian Inference
  • Statistics Education and Methodologies
  • Statistics Education and Methodologies
  • Statistical Methods and Inference
  • Statistical Methods and Inference
  • Advanced Multi-Objective Optimization Algorithms
  • Advanced Multi-Objective Optimization Algorithms
  • Fault Detection and Control Systems
  • Fault Detection and Control Systems
  • Reliability and Maintenance Optimization
  • Reliability and Maintenance Optimization
  • Bayesian Methods and Mixture Models
  • Bayesian Methods and Mixture Models
  • Statistical Methods in Clinical Trials
  • Statistical Methods in Clinical Trials
  • Scientific Measurement and Uncertainty Evaluation
  • Scientific Measurement and Uncertainty Evaluation
  • Manufacturing Process and Optimization
  • Manufacturing Process and Optimization
  • Human auditory perception and evaluation
  • Human auditory perception and evaluation
  • Statistical Methods and Applications
  • Statistical Methods and Applications
  • Spectroscopy and Chemometric Analyses
  • Spectroscopy and Chemometric Analyses
  • Neural Networks and Applications
  • Neural Networks and Applications
  • Diverse Scientific and Economic Studies
  • Diverse Scientific and Economic Studies
  • Control Systems and Identification
  • Control Systems and Identification
  • Data Analysis with R
  • Data Analysis with R
  • Statistical and numerical algorithms
  • Statistical and numerical algorithms
  • Forecasting Techniques and Applications
  • Forecasting Techniques and Applications
  • Simulation Techniques and Applications
  • Simulation Techniques and Applications

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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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