JOIV: International Journal on Informatics Visualization

Society of Visual Informatics

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

About the journal

JOIV: International Journal on Informatics Visualization is an open-access journal published by Society of Visual Informatics in Indonesia, publishing in english. It is listed in DOAJ according to the sources read. Declared review time at DOAJ: 16 weeks. Facts are reproduced as recorded at their sources with their capture dates; PublishLens indicators are available after sign-in.

Basic facts

Publisher
Society of Visual Informatics
ISSN
2549-9610 · 2549-9904
Country
Indonesia
Languages
english
Access
Open access
Articles in DOAJ
1156
Declared review time
16 weeks
Declared peer-review model
other
Official website
http://joiv.org

Index listings

  • DOAJ · 2018-05-11
Indexing
DOAJ
APC
—
Declared review time (DOAJ)
16 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

1156

Most recent article

10 months ago

Average review time (journal-declared via DOAJ)

16weeks

Works in OpenAlex

1464

Last recorded publication year

2025

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

h-index

27

i10-index

143

From OpenAlex open data (CC0).

Editorial & policy10
Last DOAJ review date
2025-12-11
Added to DOAJ
2018-05-11
Declared plagiarism screening
Declared
Other fees beyond APC
No
Editorial board
Official page ↗
Norwegian register (HK-dir)— 2026
Level 1 — approved scholarly channel
Open references deposited at Crossref
0%
ORCID iDs in current deposits
27%
Enrolled in Crossref Similarity Check
✓
Deposits licence metadata at Crossref
✓
Peer-review policy
View policy
Identity & continuity1
Source type
journal
Classification2

Subjects (DOAJ)

Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software

LCC codes

QA76.75-76.765

Subject areas

  • Advanced Neural Network Applications
  • Data Mining and Machine Learning Applications
  • Data Mining and Machine Learning Applications
  • Data Mining and Machine Learning Applications
  • Smart Agriculture and AI
  • Artificial Intelligence in Healthcare
  • Image Retrieval and Classification Techniques
  • Smart Agriculture and AI
Show all subjects (75)
  • Smart Agriculture and AI
  • Information Retrieval and Data Mining
  • Information Retrieval and Data Mining
  • Technology Adoption and User Behaviour
  • Network Security and Intrusion Detection
  • Multimedia Learning Systems
  • Edcuational Technology Systems
  • Network Security and Intrusion Detection
  • Edcuational Technology Systems
  • Online Learning and Analytics
  • Network Security and Intrusion Detection
  • Decision Support System Applications
  • Technology Adoption and User Behaviour
  • Technology Adoption and User Behaviour
  • Topic Modeling
  • Technology-Enhanced Education Studies
  • Industrial Vision Systems and Defect Detection
  • Technology-Enhanced Education Studies
  • Face recognition and analysis
  • Sentiment Analysis and Opinion Mining
  • Stock Market Forecasting Methods
  • Advanced Malware Detection Techniques
  • Computer Science and Engineering
  • Computer Science and Engineering
  • Advanced Malware Detection Techniques
  • Blockchain Technology Applications and Security
  • Imbalanced Data Classification Techniques
  • Metaheuristic Optimization Algorithms Research
  • Computer Science and Engineering
  • Biometric Identification and Security
  • Usability and User Interface Design
  • Text and Document Classification Technologies
  • Augmented Reality Applications
  • Artificial Intelligence in Healthcare
  • Artificial Intelligence in Healthcare
  • Face recognition and analysis
  • Face recognition and analysis
  • Big Data and Business Intelligence
  • IoT and Edge/Fog Computing
  • Blockchain Technology in Education and Learning
  • IoT and Edge/Fog Computing
  • Big Data and Business Intelligence
  • Blockchain Technology in Education and Learning
  • Forecasting Techniques and Applications
  • Blockchain Technology Applications and Security
  • Blockchain Technology Applications and Security
  • Software Engineering Techniques and Practices
  • Online Learning and Analytics
  • SMEs Development and Digital Marketing
  • SMEs Development and Digital Marketing
  • Online Learning and Analytics
  • Augmented Reality Applications
  • Augmented Reality Applications
  • Sentiment Analysis and Opinion Mining
  • Sentiment Analysis and Opinion Mining
  • Educational Games and Gamification
  • Educational Games and Gamification
  • Brain Tumor Detection and Classification
  • Brain Tumor Detection and Classification
  • Biometric Identification and Security
  • COVID-19 diagnosis using AI
  • COVID-19 diagnosis using AI
  • Biometric Identification and Security
  • Energy Load and Power Forecasting
  • Advanced Neural Network Applications
  • Advanced Neural Network Applications
  • Energy Load and Power Forecasting

Keywords (DOAJ)

  • computer science
  • computer engineering
  • information technology
  • software engineering

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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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