Computational Management Science is an international journal focusing on all computational aspects of management science. These include theoretical and empirical analysis of computational models; computational statistics; analysis and applications of constrained, unconstrained, robust, stochastic and combinatorial optimisation algorithms; dynamic models, such as dynamic programming and decision trees; new search tools and algorithms for global optimisation, modelling, learning and forecasting; models and tools of knowledge acquisition.
The emphasis on computational paradigms is an intended feature of CMS, distinguishing it from more classical operations research journals.
Officially cited as: Comput Manag Sci- Emphasizes computational paradigms
- Presents novel research results in computational methods
- Publishes papers dedicated to the development and analysis of applicable algorithms, computational models and experience, and balanced sets of applications
- Provides a central forum for research that is often scattered among various specialized publications
Journal information
- Editors-in-Chief
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- RĂ¼diger Schultz,
- Stein-Erik Fleten
- Publishing model
- Hybrid (Transformative Journal). Learn about publishing Open Access with us
Journal metrics
- 154 days
- Submission to first decision
- 382 days
- Submission to acceptance
- 28,070 (2019)
- Downloads
Latest issue
Latest articles
Journal updates
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Announcement!
We are pleased to announce that the journal Computational Management Science has moved to having two Editors-in-Chief: Prof. Ruediger Schultz (University of Duisburg-Essen, Germany) and, as of 1 August 2020 Prof. Stein-Erik Fleten (Norwegian University of Science and Technology, Trondheim, Norway).
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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.
About this journal
- Electronic ISSN
- 1619-6988
- Print ISSN
- 1619-697X
- Abstracted and indexed in
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- ABS Academic Journal Quality Guide
- ANVUR
- Australian Business Deans Council (ABDC) Journal Quality List
- CNKI
- DBLP
- Dimensions
- EBSCO Discovery Service
- ECONIS
- EconLit
- Emerging Sources Citation Index
- Google Scholar
- INSPEC
- Institute of Scientific and Technical Information of China
- Japanese Science and Technology Agency (JST)
- Mathematical Reviews
- Naver
- OCLC WorldCat Discovery Service
- ProQuest ABI/INFORM
- ProQuest Advanced Technologies & Aerospace Database
- ProQuest Business Premium Collection
- ProQuest Central
- ProQuest Computer Science
- ProQuest Computer and Information Systems Abstracts
- ProQuest Materials Business File
- ProQuest Materials Science and Engineering Database
- ProQuest Pharma Collection
- ProQuest Research Library
- ProQuest SciTech Premium Collection
- ProQuest Technology Collection
- ProQuest-ExLibris Primo
- ProQuest-ExLibris Summon
- Research Papers in Economics (RePEc)
- SCImago
- SCOPUS
- TD Net Discovery Service
- UGC-CARE List (India)
- WTI Frankfurt eG
- zbMATH
- Copyright information