The journal publishes research on advanced data science and analytics techniques, including time-series forecasting, machine learning fairness, time-series clustering, and optimal policy learning. Articles explore novel methodologies and their applications in diverse fields such as energy, climate, finance, transportation, and healthcare.
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.
Applied MathematicsQ2
Computational Theory and MathematicsQ2
Computer Science ApplicationsQ2
Information SystemsQ2
Modeling and SimulationQ2
Subject Classification
Web of Science Categories
Computer Science, Artificial IntelligenceComputer Science, Information Systems
Scopus Categories
Applied MathematicsInformation SystemsComputer Science ApplicationsComputational Theory and MathematicsModeling and Simulation
Research Topics (OpenAlex)
Anomaly Detection Techniques and ApplicationsComplex Network Analysis TechniquesTopic ModelingTime Series Analysis and ForecastingAdvanced Graph Neural NetworksRecommender Systems and TechniquesSentiment Analysis and Opinion MiningMachine Learning and Data ClassificationImbalanced Data Classification TechniquesStock Market Forecasting Methods