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
- Journal Impact Factor
- 1.0 (2023)
- 5-year Journal Impact Factor
- 0.9 (2023)
- Submission to first decision (median)
- 15 days
- Downloads
- 78,617 (2023)
Latest articles
Journal updates
-
SNAPP – A New Manuscript Submission system
Snapp (Springer Nature’s Article Processing Platform) is our new peer review platform, replacing the previous system, Editorial Manager.
-
Recognition for Editorial Excellence
Methodology and Computing in Applied Probability is a top rated Springer Nature journal for author satisfaction.
Journal information
- Electronic ISSN
- 1573-7713
- Print ISSN
- 1387-5841
- Abstracted and indexed in
-
- ACM Digital Library
- ANVUR
- BFI List
- Baidu
- CLOCKSS
- CNKI
- CNPIEC
- Current Index to Statistics
- Dimensions
- EBSCO
- Google Scholar
- INIS Atomindex
- INSPEC
- Japanese Science and Technology Agency (JST)
- Mathematical Reviews
- Naver
- OCLC WorldCat Discovery Service
- Portico
- ProQuest
- Research Papers in Economics (RePEc)
- SCImago
- SCOPUS
- Science Citation Index Expanded (SCIE)
- TD Net Discovery Service
- UGC-CARE List (India)
- Wanfang
- zbMATH
- Copyright information
-
© Springer Science+Business Media, LLC, part of Springer Nature