This journal focuses on statistical analysis and data mining, with a strong emphasis on developing and applying novel methodologies for complex data. Key areas include multivariate data analysis, time series forecasting, and robust estimation techniques. The journal also covers applications in machine learning, anomaly detection, and the analysis of dynamic networks and social structures.
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.
AnalysisQ2
Computer Science ApplicationsQ2
Information SystemsQ2
Statistics and ProbabilityQ2
Statistics, Probability and UncertaintyQ2
Subject Classification
Web of Science Categories
Computer Science, Artificial IntelligenceComputer Science, Interdisciplinary ApplicationsStatistics & Probability
Scopus Categories
Information SystemsStatistics, Probability and UncertaintyComputer Science ApplicationsAnalysisStatistics and Probability
Research Topics (OpenAlex)
Statistical Methods and InferenceAdvanced Statistical Methods and ModelsBayesian Methods and Mixture ModelsData Mining Algorithms and ApplicationsAdvanced Clustering Algorithms ResearchEducational Robotics and EngineeringDiverse Scientific and Economic StudiesHuman auditory perception and evaluationStatistical Methods and Bayesian InferenceFace and Expression Recognition