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Extremes

Statistical Theory and Applications in Science, Engineering and Economics

Publishing model:

Overview

Extremes is a dedicated platform for the publication of original research in statistical extreme value theory and its applications across various fields.

  • Advances research by providing a unified forum for top-tier papers in the field.
  • Presents authoritative reviews and case studies of theoretical advances and extreme value methods.
  • Broad application across science, engineering, economics, and other fields.

Editor-in-Chief
  • Thomas Mikosch
Impact factor
1.3 (2022)
5 year impact factor
1.4 (2022)
Submission to first decision (median)
10 days
Downloads
53,734 (2023)

Latest articles

Journal updates

Journal information

Electronic ISSN
1572-915X
Print ISSN
1386-1999
Abstracted and indexed in
  1. ANVUR
  2. BFI List
  3. Baidu
  4. CLOCKSS
  5. CNKI
  6. CNPIEC
  7. Current Contents/Physical, Chemical and Earth Sciences
  8. Current Index to Statistics
  9. Dimensions
  10. EBSCO
  11. Google Scholar
  12. Japanese Science and Technology Agency (JST)
  13. Mathematical Reviews
  14. Naver
  15. Norwegian Register for Scientific Journals and Series
  16. OCLC WorldCat Discovery Service
  17. Portico
  18. ProQuest
  19. SCImago
  20. SCOPUS
  21. Science Citation Index Expanded (SCIE)
  22. TD Net Discovery Service
  23. UGC-CARE List (India)
  24. Wanfang
  25. zbMATH
Copyright information

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