This journal focuses on the application of data science, machine learning, and artificial intelligence to address challenges in various domains. Topics include sustainability, intelligent data analysis for management and optimization, digital twins, sentiment analysis, automotive IoT, predictive maintenance, and the development of assistive technologies. The journal also covers foundational aspects of data science such as knowledge graphs, data calibration, and data analysis techniques like clustering and network analysis.
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.
Artificial IntelligenceQ3
Computational MathematicsQ3
Computer Science (miscellaneous)Q3
Information SystemsQ3
Modeling and SimulationQ3
Statistics and ProbabilityQ3
Subject Classification
Scopus Categories
Computer Science (miscellaneous)Information SystemsArtificial IntelligenceComputational MathematicsStatistics and ProbabilityModeling and Simulation
Research Topics (OpenAlex)
Big Data and Business IntelligenceData Quality and ManagementScientific Computing and Data ManagementResearch Data Management PracticesDigital Innovation in IndustriesSports Science and EducationData Mining Algorithms and ApplicationsBiomedical Text Mining and OntologiesMachine Learning and Data ClassificationSemantic Web and Ontologies