International Journal of Applied Data Science banner
Journal Profile

International Journal of Applied Data Science

International Journal of Applied Data Science (IJADS) is an international, peer-reviewed, open-access scholarly journal dedicated to the advancement of research, innovation, and practical applications in the field of data science. The journal serves as a global platform for researchers, academicians, data analysts, industry professionals, and practitioners to publish high-quality original research and share emerging developments that contribute to the growth of data-driven technologies and decision-making processes. IJADS aims to promote the dissemination of scientific knowledge and technological advancements that leverage data-driven methodologies to solve complex problems across diverse domains. The journal encourages interdisciplinary research that integrates statistical analysis, computational methods, machine learning techniques, data mining, predictive analytics, artificial intelligence, and intelligent information systems. By fostering collaboration between academia and industry, IJADS seeks to bridge the gap between theoretical foundations and real-world applications. The journal publishes original research articles, review papers, case studies, technical reports, short communications, and survey articles that demonstrate significant contributions to the field. Areas of interest include, but are not limited to, big data analytics, statistical modeling, deep learning, business intelligence, data visualization, cloud-based analytics, computational intelligence, knowledge discovery, decision support systems, and emerging trends in data science. IJADS welcomes contributions that address contemporary challenges and opportunities in sectors such as healthcare, finance, engineering, education, agriculture, transportation, environmental science, cybersecurity, social sciences, and digital transformation. The journal particularly encourages studies that showcase innovative approaches for extracting meaningful insights from large and complex datasets to support informed decision-making and organizational effectiveness. As an open-access journal, IJADS ensures that all published articles are freely and permanently accessible to readers worldwide without subscription barriers. This policy enhances the visibility, accessibility, and impact of research, enabling the broader scientific community to benefit from the latest developments in applied data science and related disciplines. IJADS is committed to publishing impactful research that advances scientific understanding, promotes innovation, and supports the effective use of data-driven technologies for societal and industrial development.

ISSN
2049-7312
Frequency
Quarterly
Impact Snapshot
2.84 CiteScore
Indexing & Abstracting
Scopus, DOAJ, CrossRef

Editorial Office

Editor-in-Chief: Editorial leadership pending

Journal metadata is managed from the admin panel.

Editorial contact will be updated soon.

Scope and mission

International Journal of Applied Data Science (IJADS) is an international, peer-reviewed, open-access scholarly journal dedicated to the advancement of research, innovation, and practical applications in the field of data science. The journal serves as a global platform for researchers, academicians, data analysts, industry professionals, and practitioners to publish high-quality original research and share emerging developments that contribute to the growth of data-driven technologies and decision-making processes. IJADS aims to promote the dissemination of scientific knowledge and technological advancements that leverage data-driven methodologies to solve complex problems across diverse domains. The journal encourages interdisciplinary research that integrates statistical analysis, computational methods, machine learning techniques, data mining, predictive analytics, artificial intelligence, and intelligent information systems. By fostering collaboration between academia and industry, IJADS seeks to bridge the gap between theoretical foundations and real-world applications. The journal publishes original research articles, review papers, case studies, technical reports, short communications, and survey articles that demonstrate significant contributions to the field. Areas of interest include, but are not limited to, big data analytics, statistical modeling, deep learning, business intelligence, data visualization, cloud-based analytics, computational intelligence, knowledge discovery, decision support systems, and emerging trends in data science. IJADS welcomes contributions that address contemporary challenges and opportunities in sectors such as healthcare, finance, engineering, education, agriculture, transportation, environmental science, cybersecurity, social sciences, and digital transformation. The journal particularly encourages studies that showcase innovative approaches for extracting meaningful insights from large and complex datasets to support informed decision-making and organizational effectiveness. As an open-access journal, IJADS ensures that all published articles are freely and permanently accessible to readers worldwide without subscription barriers. This policy enhances the visibility, accessibility, and impact of research, enabling the broader scientific community to benefit from the latest developments in applied data science and related disciplines. IJADS is committed to publishing impactful research that advances scientific understanding, promotes innovation, and supports the effective use of data-driven technologies for societal and industrial development.

Submissions are evaluated for methodological clarity, interpretability of results, and policy relevance for environmental decision-makers.

Editorial Office

Editor-in-Chief: Editorial leadership pending

Journal metadata is managed from the admin panel.

Editorial contact will be updated soon.

Articles

No published articles yet

Published articles will appear here once they are added and marked as published.

Classification

This journal is classified under the following areas:

  • Applied Data Science
  • Artificial Intelligence & Machine Learning
  • Big Data Analytics
  • Statistical Computing
  • Computational Data Science
  • Information Technology & Data Engineering
Classification
• Applied Data Science • Artificial Intelligence & Machine Learning • Big Data Analytics • Statistical Computing • Computational Data Science • Information Technology & Data Engineering

Editorial Board

The editorial board comprises international experts who oversee peer review and editorial standards for International Journal of Applied Data Science.

Editors

Editors

0 members

No editors have been listed for this journal yet.

Associate Editors

Associate Editors

0 members

No associate editors have been listed for this journal yet.

Editor-In Chief

Editorial leadership details will be updated soon.

Article in Press

Articles accepted and in press will appear here prior to formal issue publication. Authors of accepted manuscripts can expect final publication in the forthcoming issue.

International Journal of Applied Data Science

No in-press articles listed

Accepted in-press articles will appear here when they are available in the database.

Current Issue

International Journal of Applied Data Science

No released current issue

Release an issue in admin to show it as the current issue.

Archive

Past issues and volumes are available in the archive. Use search for large archives, then expand only the volume you need.

1 volumes 1 issues 2026 - 2026
Volume 1 2026 1 issue Upcoming
Issue Publication Date Description Action
Issue 1
Upcoming
Publication date to be announced Issue details will be updated soon. Browse

Special Issues

Special issues curated by guest editors on focused topics. Current and forthcoming special issues are listed below.

  • No special issues have been listed for this journal yet.

Authors should consult the Author Guidelines for manuscript preparation, submission checklist, and formatting templates. Membership information, APC details, and payment instructions are provided in the links above.

Submission

Submit manuscripts online via the portal. Ensure adherence to formatting and ethical policies.

Processing Fee

Typical APC information and waiver policies.

Volume 1, Issue 1

Publication date to be announced

Browse issue
Submit Manuscript