Journal of Data Science and Computational Methods | AB Journals

Journal of Data Science and Computational Methods (JDSCM)

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About the Journal

Journal of Data Science and Computational Methods (JDSCM) is an international peer-reviewed open access journal that publishes original research in data science, computational methods, analytics, statistical modeling, and related interdisciplinary fields. The journal provides a platform for the dissemination of high-quality theoretical, methodological, and applied research that advances the extraction of knowledge from data and the development of computational approaches for solving complex scientific, engineering, business, and societal problems. JDSCM welcomes contributions that introduce innovative analytical techniques, computational frameworks, algorithms, and data-driven solutions with clear scholarly and practical significance.

Open Access

Free to view and download

DOI Assigned

On every published paper

Double-Blind

Peer reviewed

8–12 Weeks

Submission to publication

Journal Information

ISSN

DOI Prefix

10.52589/jdscm

Publication Frequency

Monthly

Publication Model

Online Publication

Access Model

Open Access

Peer Review

Double-Blind

Publisher

AB Journals

Language

English

License

CC BY 4.0

Publication Timeline

8–12 weeks

1
Initial Editorial Check
1–2 weeks
2
Peer Review
6–8 weeks
3
Editorial Decision
About 1 week
4
Publication
1–2 weeks

Article Processing Charge (APC)

$130.00 USD

Payment only after acceptance.

Discounts & Waivers

Available for eligible authors.

Quick Access Links

Submit Your Paper Publishing Process Author's Guidelines Track Article Status Pay APC

Copyrights

Authors retain copyright in their articles and have unrestricted rights to reuse, republish, archive, share, and distribute their work after publication.
All articles are published open access under the Creative Commons Attribution 4.0 International (CC BY 4.0) licence, which permits use, sharing, adaptation, distribution, and reproduction in any medium or format, including for commercial purposes, provided appropriate credit is given to the original author(s) and source.

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