Aims & Scope
Extremes publishes original research on all aspects of statistical extreme value theory and its applications in science, engineering, economics and other fields.
Authoritative and timely reviews of theoretical advances and of extreme value methods and problems in important applied areas, including detailed case studies, are welcome and will be a regular feature.
All papers are refereed.
Publication will be swift: in particular electronic submission and correspondence is encouraged.
Statistical extreme value methods encompass a very wide range of problems: Extreme waves, rainfall, and floods are of basic importance in oceanography and hydrology, as are high windspeeds and extreme temperatures in meteorology and catastrophic claims in insurance.
The waveforms and extremes of random loads determine lifelengths in structural safety, corrosion and metal fatigue.
View Aims & ScopeMetrics & Ranking
Impact Factor
Year | Value |
---|---|
2025 | 2.2 |
Journal Rank
Year | Value |
---|---|
2024 | 6987 |
Journal Citation Indicator
Year | Value |
---|---|
2024 | 164 |
SJR (SCImago Journal Rank)
Year | Value |
---|---|
2024 | 0.782 |
Quartile
Year | Value |
---|---|
2024 | Q1 |
h-index
Year | Value |
---|---|
2024 | 38 |
Impact Factor Trend
Abstracting & Indexing
Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.
Subjects & Keywords
Journal’s research areas, covering key disciplines and specialized sub-topics in Economics, Econometrics and Finance, Engineering and Mathematics, designed to support cutting-edge academic discovery.
Most Cited Articles
The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.
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Small Defects and Inhomogeneities in Fatigue Strength: Experiments, Models and Statistical Implications
Citation: 177
Authors: Y., S.
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Large Deviations of Heavy-Tailed Sums with Applications in Insurance
Citation: 140
Authors: T., A.V.
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Hidden Regular Variation, Second Order Regular Variation and Asymptotic Independence
Citation: 123
Authors: Sidney
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A Dynamic Mixture Model for Unsupervised Tail Estimation without Threshold Selection
Citation: 123
Authors: Arnoldo, Ola, HÃ¥vard