International Journal of Applied Mathematics, Sciences, and Technology for National Defense
CV. FOUNDAE
About the journal
International Journal of Applied Mathematics, Sciences, and Technology for National Defense is an open-access journal published by CV. FOUNDAE in Indonesia, publishing in english. It is listed in DOAJ according to the sources read. Declared publication charge: 150 USD. Declared review time at DOAJ: 12 weeks. Facts are reproduced as recorded at their sources with their capture dates; PublishLens indicators are available after sign-in.
Basic facts
- Publisher
- CV. FOUNDAE
- ISSN
- 2986-0776 · 2985-9352
- Country
- Indonesia
- Languages
- english
- Access
- Open access
- Declared publication charge
- 150 USD
- Articles in DOAJ
- 45
- Declared review time
- 12 weeks
- Declared peer-review model
- double_blind
- Official website
- https://journal.foundae.com/index.php/JAS-ND/index
Index listings
- DOAJ · 2025-05-07
- Indexing
- DOAJ
- APC
- 150 USD
- Declared review time (DOAJ)
- 12 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
45
Most recent article
7 months ago
Average review time (journal-declared via DOAJ)
12weeks
Works in OpenAlex
51
Last recorded publication year
2025
h-index
2
i10-index
0
From OpenAlex open data (CC0).
Editorial & policy9
- Last DOAJ review date
- 2025-12-14
- Added to DOAJ
- 2025-05-07
- Declared plagiarism screening
- Declared
- Other fees beyond APC
- No
- Editorial board
- Official page ↗
- 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)
LCC codes
Subject areas
- Data Mining and Machine Learning Applications
- Data Mining and Machine Learning Applications
- Management and Optimization Techniques
- COVID-19 Pandemic Impacts
- COVID-19 Pandemic Impacts
- Forecasting Techniques and Applications
- Management and Optimization Techniques
- Food Security and Socioeconomic Dynamics
Show all subjects (50)
- Multimedia Learning Systems
- Multimedia Learning Systems
- Artificial Intelligence in Healthcare
- Forecasting Techniques and Applications
- Economic and Technological Innovation
- Evacuation and Crowd Dynamics
- Food Security and Socioeconomic Dynamics
- Mathematical and Theoretical Epidemiology and Ecology Models
- Economic and Technological Innovation
- Vitamin D Research Studies
- Diabetes Treatment and Management
- Probiotics and Fermented Foods
- Blockchain Technology Applications and Security
- Network Security and Intrusion Detection
- Mobile Ad Hoc Networks
- Multi-Criteria Decision Making
- Photonic and Optical Devices
- Geotechnical Engineering and Soil Mechanics
- Land Use and Ecosystem Services
- Marine and fisheries research
- Diabetes Treatment and Management
- Bone health and osteoporosis research
- Vitamin D Research Studies
- Tuberculosis Research and Epidemiology
- Diverse Aspects of Tourism Research
- Cloud Computing and Resource Management
- Probiotics and Fermented Foods
- Cloud Computing and Resource Management
- Mobile Ad Hoc Networks
- Blockchain Technology Applications and Security
- Network Security and Intrusion Detection
- Robotic Path Planning Algorithms
- Image and Signal Denoising Methods
- Multi-Criteria Decision Making
- Phase Equilibria and Thermodynamics
- Chalcogenide Semiconductor Thin Films
- Iron Metabolism and Disorders
- Chronic Kidney Disease and Diabetes
- Blood transfusion and management
- Tuberculosis Research and Epidemiology
- Mathematical and Theoretical Epidemiology and Ecology Models
- Bone health and osteoporosis research
Keywords (DOAJ)
- defense
- security
- resilience
- science
- technology
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