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Overview

Methodology and Computing in Applied Probability is a journal that publishes high quality research and review articles in areas of applied probability that emphasize methodology and computing.

  • Highlights articles examining important applications and detailed case studies.
  • Covers a broad range of interests including algorithms, finance, mathematical physics, and more.
  • Uses Springer Nature’s Article Processing Platform, Snapp, for peer reviews.
  • A favorable choice for authors, with 100% surveyed reporting likelihood to publish again in the journal.

Editor-in-Chief
  • Joseph Glaz,
  • Markos V. Koutras
Impact factor
0.9 (2022)
5 year impact factor
0.9 (2022)
Submission to first decision (median)
17 days
Downloads
78,617 (2023)

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Journal information

Electronic ISSN
1573-7713
Print ISSN
1387-5841
Abstracted and indexed in
  1. ACM Digital Library
  2. ANVUR
  3. BFI List
  4. Baidu
  5. CLOCKSS
  6. CNKI
  7. CNPIEC
  8. Current Index to Statistics
  9. Dimensions
  10. EBSCO
  11. Google Scholar
  12. INIS Atomindex
  13. INSPEC
  14. Japanese Science and Technology Agency (JST)
  15. Mathematical Reviews
  16. Naver
  17. OCLC WorldCat Discovery Service
  18. Portico
  19. ProQuest
  20. Research Papers in Economics (RePEc)
  21. SCImago
  22. SCOPUS
  23. Science Citation Index Expanded (SCIE)
  24. TD Net Discovery Service
  25. UGC-CARE List (India)
  26. Wanfang
  27. zbMATH
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