Methodology and Computing in Applied Probability publishes high quality research and review articles in areas of applied probability that emphasize methodology and computing. The journal focuses on articles that examine important applications and that include detailed case studies.

With its policy of attracting papers representing a broad range of interests, the journal covers such topics as algorithms, approximations, combinatorial and geometric probability, communication networks, extreme value theory, finance, image analysis, inequalities, information theory, mathematical physics, molecular biology, Monte Carlo methods, order statistics, queuing theory, reliability theory, and stochastic processes.

  • Publishes high quality research and review articles in areas of applied probability that emphasize methodology and computing
  • Focuses on articles that examine important applications and that include detailed case studies
  • Attracts papers representing a broad range of interests
  • 100% of authors who answered a survey reported that they would definitely publish or probably publish in the journal again

Journal information

Editor-in-Chief
  • Joseph Glaz
Publishing model
Hybrid. Open Access options available

Journal metrics

0.809 (2019)
Impact factor
0.837 (2019)
Five year impact factor
104 days
Submission to first decision
347 days
Submission to acceptance
18,157 (2019)
Downloads

Latest articles

This journal has 41 open access articles

Journal updates

  • COVID-19 and impact on peer review

    As a result of the significant disruption that is being caused by the COVID-19 pandemic we are very aware that many researchers will have difficulty in meeting the timelines associated with our peer review process during normal times.  Please do let us know if you need additional time. Our systems will continue to remind you of the original timelines but we intend to be highly flexible at this time.

View all updates

Subscribe

eJournal
$99.00
Note this is only the net price. Taxes will be calculated during checkout.
  • Immediate online access with complete access to all articles
  • Downloadable in PDF format
  • Subscription expires 12/31/2020

About this journal

Electronic ISSN
1573-7713
Print ISSN
1387-5841
Abstracted and indexed in
  1. ACM Digital Library
  2. CNKI
  3. Current Index to Statistics
  4. Dimensions
  5. EBSCO Business Source
  6. EBSCO Discovery Service
  7. Google Scholar
  8. INIS Atomindex
  9. INSPEC
  10. Institute of Scientific and Technical Information of China
  11. Japanese Science and Technology Agency (JST)
  12. Journal Citation Reports/Science Edition
  13. Mathematical Reviews
  14. Naver
  15. OCLC WorldCat Discovery Service
  16. ProQuest ABI/INFORM
  17. ProQuest Advanced Technologies & Aerospace Database
  18. ProQuest Business Premium Collection
  19. ProQuest Central
  20. ProQuest Computer Science
  21. ProQuest Engineering
  22. ProQuest Materials Science and Engineering Database
  23. ProQuest Pharma Collection
  24. ProQuest SciTech Premium Collection
  25. ProQuest Science Database
  26. ProQuest Technology Collection
  27. ProQuest-ExLibris Primo
  28. ProQuest-ExLibris Summon
  29. SCImago
  30. SCOPUS
  31. Science Citation Index Expanded (SciSearch)
  32. UGC-CARE List (India)
  33. zbMATH
Copyright information

Rights and permissions

Springer policies

© Springer Science+Business Media, LLC, part of Springer Nature