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Overview

Stochastic Environmental Research and Risk Assessment (SERRA) publishes research papers, reviews and technical notes on stochastic (i.e., probabilistic and statistical) approaches to environmental sciences and engineering, including the quantitative description, modelling and prediction of the spatiotemporal evolution of natural and engineered systems under conditions of uncertainty. Topics of interest include risk assessment, interactions of terrestrial and atmospheric environments with people and the ecosystem, and environmental health. The core aim of the journal is to bring together theoretical and applied research with a stochastic dimension in various fields of environmental, planetary and health sciences and engineering, providing an interdisciplinary forum for the exchange of ideas and for communicating on issues that cut across disciplinary barriers.  Contributions may cover theoretical probabilistic / statistical modelling approaches (including geostatistics and spatial statistics), and their applications in various fields of science and engineering.

Editor-in-Chief
  • Andreas Langousis

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Journal metrics

Journal Impact Factor
3.6 (2024)
5-year Journal Impact Factor
3.6 (2024)
Submission to first decision (median)
4 days
Downloads
557.9k (2025)

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Latest articles

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Journal information

Electronic ISSN
1436-3259
Print ISSN
1436-3240
Abstracted and indexed in
  1. AGRICOLA
  2. ANVUR
  3. Astrophysics Data System (ADS)
  4. Australian Business Deans Council (ABDC) Journal Quality List
  5. BFI List
  6. Baidu
  7. CAB Abstracts
  8. CLOCKSS
  9. CNKI
  10. CNPIEC
  11. Chinese Academy of Medical Science (CAMS)
  12. Current Contents/Agriculture, Biology & Environmental Sciences
  13. Current Contents/Engineering, Computing and Technology
  14. Current Index to Statistics
  15. Dimensions
  16. EBSCO
  17. EI Compendex
  18. EMBiology
  19. Engineering Village – GEOBASE
  20. Google Scholar
  21. Japanese Science and Technology Agency (JST)
  22. Naver
  23. Norwegian Register for Scientific Journals and Series
  24. OCLC WorldCat Discovery Service
  25. Ovid Discovery
  26. Portico
  27. ProQuest
  28. SCImago
  29. SCOPUS
  30. Science Citation Index Expanded (SCIE)
  31. Semantic Scholar
  32. TD Net Discovery Service
  33. Wanfang
  34. eLibrary.ru
© Springer-Verlag GmbH Germany, part of Springer Nature

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