This journal publishes research on the application of artificial intelligence, machine learning, and data science techniques to solve complex problems across various domains. Topics include developing and evaluating predictive models, recommender systems, and classification frameworks for areas such as cybersecurity, healthcare, natural language processing, and resource allocation. The research often involves novel algorithmic approaches, ensemble learning, and the integration of diverse data sources and features.
Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.
Publication & Citation Trend
Articles published
Times cited
2019
2020
2021
2022
2023
2024
2025
2026
Source: OpenAlex · Note: citations accumulate over time so older years appear higher
SJR Quartile by Discipline
Scimago ranks this journal separately in each subject category — its quartile can differ by discipline.
Computational Theory and MathematicsQ3
Computer Networks and CommunicationsQ3
Computer Science ApplicationsQ3
Control and Systems EngineeringQ3
Information SystemsQ3
Artificial IntelligenceQ4
Subject Classification
Scopus Categories
Information SystemsComputer Networks and CommunicationsComputer Science ApplicationsControl and Systems EngineeringArtificial IntelligenceComputational Theory and Mathematics
Research Topics (OpenAlex)
Software Engineering ResearchData Mining Algorithms and ApplicationsCloud Computing and Resource ManagementIoT and Edge/Fog ComputingSoftware Reliability and Analysis ResearchService-Oriented Architecture and Web ServicesSoftware Engineering Techniques and PracticesSemantic Web and OntologiesNetwork Security and Intrusion DetectionMobile Ad Hoc Networks