About the journal
Applied Computer Systems is an open-access journal published by Sciendo in Poland, publishing in english. It is listed in DOAJ according to the sources read. Declared review time at DOAJ: 30 weeks. Facts are reproduced as recorded at their sources with their capture dates; PublishLens indicators are available after sign-in.
Basic facts
- Publisher
- Sciendo
- ISSN
- 2255-8691
- Country
- Poland
- Languages
- english
- Access
- Open access
- Articles in DOAJ
- 277
- Declared review time
- 30 weeks
- Declared peer-review model
- double_blind
- Official website
- https://reference-global.com/journal/ACSS
Index listings
- DOAJ · 2015-05-07
- Indexing
- DOAJ
- APC
- —
- Declared review time (DOAJ)
- 30 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)
Details of the evaluation under the published methodology are shown to signed-in users (free).
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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
277
Most recent article
2 months ago
Average review time (journal-declared via DOAJ)
30weeks
Works in OpenAlex
274
Last recorded publication year
2025
h-index
16
i10-index
31
From OpenAlex open data (CC0).
Editorial & policy11
- Last DOAJ review date
- 2026-07-24
- Added to DOAJ
- 2015-05-07
- Declared plagiarism screening
- Declared
- Other fees beyond APC
- No
- Declared digital preservation
- Portico
- Observed digital preservation (Keepers registry)— snapshot 2026-10-05
- Portico
- Editorial board
- Official page ↗
- Open references deposited at Crossref
- 100%
- ORCID iDs in current deposits
- 98%
- Enrolled in Crossref Similarity Check
- ✓
- Deposits licence metadata at Crossref
- ✓
- Peer-review policy
- View policy
Identity & continuity2
- Alternate titles
- Scientific Journal of Riga Technical University
- Source type
- journal
Classification2
Subjects (DOAJ)
LCC codes
Subject areas
- Service-Oriented Architecture and Web Services
- Service-Oriented Architecture and Web Services
- Model-Driven Software Engineering Techniques
- Model-Driven Software Engineering Techniques
- Software Engineering Research
- Software Engineering Research
- Advanced Software Engineering Methodologies
- Advanced Software Engineering Methodologies
Show all subjects (50)
- Business Process Modeling and Analysis
- Business Process Modeling and Analysis
- Software Engineering Techniques and Practices
- Software Engineering Techniques and Practices
- Sentiment Analysis and Opinion Mining
- Sentiment Analysis and Opinion Mining
- Semantic Web and Ontologies
- Topic Modeling
- Topic Modeling
- Data Management and Algorithms
- Semantic Web and Ontologies
- Data Management and Algorithms
- Advanced Neural Network Applications
- Software Reliability and Analysis Research
- Software Reliability and Analysis Research
- Advanced Neural Network Applications
- Spam and Phishing Detection
- IoT and Edge/Fog Computing
- Multi-Agent Systems and Negotiation
- Spam and Phishing Detection
- Advanced Text Analysis Techniques
- Advanced Text Analysis Techniques
- Multi-Agent Systems and Negotiation
- IoT and Edge/Fog Computing
- Natural Language Processing Techniques
- Natural Language Processing Techniques
- Stock Market Forecasting Methods
- Information Systems and Technology Applications
- Robotics and Sensor-Based Localization
- Intelligent Tutoring Systems and Adaptive Learning
- Information Systems and Technology Applications
- Robotics and Sensor-Based Localization
- Stock Market Forecasting Methods
- Intelligent Tutoring Systems and Adaptive Learning
- Software System Performance and Reliability
- Software System Performance and Reliability
- Advanced Image and Video Retrieval Techniques
- COVID-19 diagnosis using AI
- Robotic Path Planning Algorithms
- Advanced Image and Video Retrieval Techniques
- Robotic Path Planning Algorithms
- COVID-19 diagnosis using AI
Keywords (DOAJ)
- artificial intelligence
- applied computer systems
- data encryption
- model driven software development
- programming technologies
- software engineering
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