Journal Information

Journal Title: Journal of Advanced Computer Science (JACS)

About the Journal

The Journal of Advanced Computer Science (JACS) is an international, peer-reviewed academic journal that publishes high-quality research in the field of Computer Science and Information Technology. The journal aims to promote scientific innovation and provide an advanced scholarly platform for researchers, academicians, and professionals to disseminate original contributions addressing both theoretical and applied computational challenges.

JACS focuses on cutting-edge developments and emerging technologies, supporting interdisciplinary research across areas such as artificial intelligence, cybersecurity, data science, cloud computing, and smart systems.


Journal Scope

The journal covers (but is not limited to):

  • Artificial Intelligence & Machine Learning

  • Data Science & Big Data Analytics

  • Cybersecurity & Digital Forensics

  • Cloud, Edge & Distributed Computing

  • Internet of Things (IoT) & Smart Systems

  • Software Engineering & Systems Development

  • Algorithms, Optimization & Computational Theory

  • Computer Vision & Image Processing

  • Natural Language Processing (NLP)

  • Human–Computer Interaction (HCI)


Publishing Model

  • Publication Type: Scientific Academic Journal

  • Access Type: Open Access (recommended for indexing)

  • Peer Review Process: Double-Blind Peer Review

  • Language: English (optional: Arabic abstracts if you want)


Publication Frequency

The journal is published Quarterly (4 issues per year)


Article Types

JACS accepts:

  • Original Research Articles

  • Review Papers

  • Case Studies

Audience

The journal targets:
Researchers, PhD/MSc students, academic staff, and industry professionals working in computer science and related disciplines.


Ethics and Standards

JACS follows international publication ethics and best practices, including:

  • COPE guidelines

  • Plagiarism screening (Turnitin)

  • Conflict of interest disclosure

  • Transparent peer-review process