Automatika

Taylor & Francis Group

Journal websitePeer review: Other
Evaluation status available after sign-in

About the journal

Automatika is an open-access journal published by Taylor & Francis Group in United Kingdom, publishing in english. It is listed in DOAJ according to the sources read. Declared publication charge: 1,290 AUD. Declared review time at DOAJ: 42 weeks. Facts are reproduced as recorded at their sources with their capture dates; PublishLens indicators are available after sign-in.

Basic facts

Publisher
Taylor & Francis Group
ISSN
0005-1144 · 1848-3380
Country
United Kingdom
Languages
english
Access
Open access
Declared publication charge
1,290 AUD
Articles in DOAJ
614
Declared review time
42 weeks
Declared peer-review model
other

Index listings

  • DOAJ · 2018-07-30
Indexing
DOAJ
APC
1,290 AUD
Declared review time (DOAJ)
42 weeks — journal-declared only (not measured)
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.

Articles in DOAJ

614

Most recent article

last month

Average review time (journal-declared via DOAJ)

42weeks

Works in OpenAlex

1154

Last recorded publication year

2026

Reported by OpenAlex in 2 of 3 sources (CC0 flags, not verified indexing)DOAJSciELOOpenAlex Core

h-index

39

i10-index

269

From OpenAlex open data (CC0).

Editorial & policy13
Last DOAJ review date
2024-08-08
Added to DOAJ
2018-07-30
Declared plagiarism screening
Declared
Other fees beyond APC
No
Declared digital preservation
CLOCKSSLOCKSSPorticoScholars Portal
Observed digital preservation (Keepers registry)— snapshot 2026-10-05
CLOCKSSPortico
Editorial board
Official page ↗
Norwegian register (HK-dir)— 2026
Level 1 — approved scholarly channel
Open references deposited at Crossref
100%
ORCID iDs in current deposits
43%
Enrolled in Crossref Similarity Check
✓
Deposits licence metadata at Crossref
✓
APC waiver policy
View policy
Peer-review policy
View policy
Identity & continuity1
Source type
journal
Classification4

Subjects (DOAJ)

Technology: Mechanical engineering and machinery: Control engineering systems. Automatic machinery (General)Technology: Technology (General): Industrial engineering. Management engineering: Automation

LCC codes

TJ212-225T59.5

Subject areas

  • Multilevel Inverters and Converters
  • Microgrid Control and Optimization
  • Microgrid Control and Optimization
  • Sensorless Control of Electric Motors
  • Multilevel Inverters and Converters
  • Multilevel Inverters and Converters
  • Advanced DC-DC Converters
  • Adaptive Control of Nonlinear Systems
Show all subjects (75)
  • Advanced DC-DC Converters
  • Advanced DC-DC Converters
  • Advanced Control Systems Design
  • Power Quality and Harmonics
  • Adaptive Control of Nonlinear Systems
  • Adaptive Control of Nonlinear Systems
  • Electric Motor Design and Analysis
  • Sensorless Control of Electric Motors
  • Sensorless Control of Electric Motors
  • Stability and Control of Uncertain Systems
  • Microgrid Control and Optimization
  • Control Systems and Identification
  • Metaheuristic Optimization Algorithms Research
  • Electric Motor Design and Analysis
  • Electric Motor Design and Analysis
  • Advanced Control Systems Optimization
  • Photovoltaic System Optimization Techniques
  • Photovoltaic System Optimization Techniques
  • Wind Turbine Control Systems
  • Fault Detection and Control Systems
  • Fuzzy Logic and Control Systems
  • Fault Detection and Control Systems
  • Advanced Neural Network Applications
  • Power System Optimization and Stability
  • Photovoltaic System Optimization Techniques
  • Hydraulic and Pneumatic Systems
  • Advanced Control Systems Design
  • Advanced Battery Technologies Research
  • Advanced Battery Technologies Research
  • Hydraulic and Pneumatic Systems
  • Advanced Control Systems Design
  • IoT and Edge/Fog Computing
  • IoT and Edge/Fog Computing
  • Control and Dynamics of Mobile Robots
  • Fault Detection and Control Systems
  • Advanced Control Systems Optimization
  • Advanced Control Systems Optimization
  • Power System Optimization and Stability
  • Power System Optimization and Stability
  • Iterative Learning Control Systems
  • Iterative Learning Control Systems
  • Medical Image Segmentation Techniques
  • Magnetic Bearings and Levitation Dynamics
  • Robotic Path Planning Algorithms
  • Robotic Path Planning Algorithms
  • Magnetic Bearings and Levitation Dynamics
  • Machine Fault Diagnosis Techniques
  • Power Quality and Harmonics
  • Power Quality and Harmonics
  • Stability and Control of Uncertain Systems
  • Dynamics and Control of Mechanical Systems
  • Stability and Control of Uncertain Systems
  • AI in cancer detection
  • Real-time simulation and control systems
  • Vehicle Dynamics and Control Systems
  • Silicon Carbide Semiconductor Technologies
  • Real-time simulation and control systems
  • Silicon Carbide Semiconductor Technologies
  • Control Systems and Identification
  • Control Systems and Identification
  • Chaos-based Image/Signal Encryption
  • Chaos-based Image/Signal Encryption
  • Robotics and Sensor-Based Localization
  • Advanced MIMO Systems Optimization
  • Wind Turbine Control Systems
  • Advanced MIMO Systems Optimization
  • Wind Turbine Control Systems

Keywords (DOAJ)

  • electronics
  • computing
  • robotics
  • automation
  • control systems
  • communications

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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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