Extremes focuses on the statistical analysis of extreme values and related phenomena. This includes developing and applying extreme value theory, particularly in multivariate settings, to understand and model rare events. The journal also covers methods for detecting structural breaks in extremal dependence, analyzing cascading extreme events, and modeling heavy-tailed data using techniques like max-stable processes and max-ARMA models. Applications span areas such as climatology, seismology, and spatial processes.
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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.
Economics, Econometrics and Finance (miscellaneous)Q1
Engineering (miscellaneous)Q1
Statistics and ProbabilityQ2
Subject Classification
Web of Science Categories
Mathematics, Interdisciplinary ApplicationsStatistics & Probability
Scopus Categories
Economics, Econometrics and Finance (miscellaneous)Engineering (miscellaneous)Statistics and Probability
Research Topics (OpenAlex)
Financial Risk and Volatility ModelingStochastic processes and financial applicationsProbability and Risk ModelsHydrology and Drought AnalysisStatistical Methods and InferenceStochastic processes and statistical mechanicsStatistical Distribution Estimation and ApplicationsBayesian Methods and Mixture ModelsMarket Dynamics and VolatilityMonetary Policy and Economic Impact