The Journal of Classification publishes research on statistical classification and clustering methods. Articles focus on developing and evaluating new algorithms for grouping data, including techniques for handling multivariate, functional, and time series data. The journal also covers methods for variable importance, distance metrics, and Bayesian inference in clustering models.
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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.
Library and Information SciencesQ1
Mathematics (miscellaneous)Q1
Psychology (miscellaneous)Q2
Statistics, Probability and UncertaintyQ2
Subject Classification
Web of Science Categories
Mathematics, Interdisciplinary ApplicationsPsychology, MathematicalStatistics & Probability
Scopus Categories
Mathematics (miscellaneous)Library and Information SciencesPsychology (miscellaneous)Statistics, Probability and Uncertainty
Research Topics (OpenAlex)
Advanced Clustering Algorithms ResearchBayesian Methods and Mixture ModelsAdvanced Statistical Methods and ModelsData Management and AlgorithmsFace and Expression Recognition