About the journal
Vetor is an open-access journal published by Universidade Federal do Rio Grande in Brazil, publishing in ENGLISH and PORTUGUESE. It is listed in DOAJ according to the sources read. Declared review time at DOAJ: 10 weeks. Facts are reproduced as recorded at their sources with their capture dates; PublishLens indicators are available after sign-in.
Basic facts
- Publisher
- Universidade Federal do Rio Grande
- ISSN
- 0102-7352 · 2358-3452
- Country
- Brazil
- Languages
- ENGLISH, PORTUGUESE
- Access
- Open access
- Articles in DOAJ
- 1176
- Declared review time
- 10 weeks
- Declared peer-review model
- peer_review
- Official website
- https://periodicos.furg.br/vetor
Index listings
- DOAJ · 2022-09-03
- Indexing
- DOAJ
- APC
- —
- Declared review time (DOAJ)
- 10 weeks — journal-declared only (not measured)
- Activity (OpenAlex)
- Active — latest works 2026
- PublishLens list status
- Shown after sign-in
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- Choose your university and rank below ↓
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.
Articles in DOAJ
1176
Most recent article
3 months ago
Average review time (journal-declared via DOAJ)
10weeks
Works in OpenAlex
117
Last recorded publication year
2025
h-index
3
i10-index
0
From OpenAlex open data (CC0).
Editorial & policy9
- Last DOAJ review date
- 2022-09-03
- Added to DOAJ
- 2022-09-03
- Declared plagiarism screening
- Not declared
- Other fees beyond APC
- No
- Editorial board
- Official page ↗
- Open references deposited at Crossref
- 23%
- ORCID iDs in current deposits
- 73%
- Enrolled in Crossref Similarity Check
- ✓
- Peer-review policy
- View policy
Identity & continuity2
- Alternate titles
- Vetor, Revista de Ciências Exatas e Engenharias
- Source type
- journal
Classification4
Subjects (DOAJ)
LCC codes
Subject areas
- Nuclear reactor physics and engineering
- Nuclear reactor physics and engineering
- Graphite, nuclear technology, radiation studies
- Graphite, nuclear technology, radiation studies
- Digital Transformation in Industry
- Digital Transformation in Industry
- Advanced Multi-Objective Optimization Algorithms
- Advanced Multi-Objective Optimization Algorithms
Show all subjects (50)
- Agricultural and Food Sciences
- Probabilistic and Robust Engineering Design
- Structural Health Monitoring Techniques
- Nuclear Materials and Properties
- Advanced Optimization Algorithms Research
- Iterative Methods for Nonlinear Equations
- Agricultural and Food Sciences
- Probabilistic and Robust Engineering Design
- Structural Health Monitoring Techniques
- Nuclear Materials and Properties
- Advanced Optimization Algorithms Research
- Iterative Methods for Nonlinear Equations
- Data Mining Algorithms and Applications
- Polymer crystallization and properties
- CO2 Sequestration and Geologic Interactions
- COVID-19 epidemiological studies
- Polymer Nanocomposites and Properties
- IoT and Edge/Fog Computing
- Hydrocarbon exploration and reservoir analysis
- Data Mining Algorithms and Applications
- IoT and Edge/Fog Computing
- Polymer crystallization and properties
- BIM and Construction Integration
- Electrodeposition and Electroless Coatings
- High Entropy Alloys Studies
- Tribology and Lubrication Engineering
- Metallurgical Processes and Thermodynamics
- Gear and Bearing Dynamics Analysis
- Metallic Glasses and Amorphous Alloys
- Hydrocarbon exploration and reservoir analysis
- Machine Fault Diagnosis Techniques
- COVID-19 epidemiological studies
- Machine Fault Diagnosis Techniques
- Gear and Bearing Dynamics Analysis
- Metallurgical Processes and Thermodynamics
- Tribology and Lubrication Engineering
- High Entropy Alloys Studies
- Electrodeposition and Electroless Coatings
- BIM and Construction Integration
- CO2 Sequestration and Geologic Interactions
- Polymer Nanocomposites and Properties
- Metallic Glasses and Amorphous Alloys
Keywords (DOAJ)
- engineering
- chemistry
- exact sciences
- applied mathematics
- mathematical modelling
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