Welcome to KJCIS
KIET Journal of Computing & Information Sciences (KJCIS) is a bi-annual, multi-disciplinary, Y-Category HEC recognized research journal published by the College of Computing & Information Sciences (CoCIS), Karachi Institute of Economics & Technology (KIET), Pakistan.
The journal publishes high-quality peer-reviewed research in all major domains of computing and information sciences. KJCIS serves as a global platform connecting researchers, scientists, practitioners, and industry experts.
Key Features
- Bi-annual publication (June & December)
- Double-blind peer review process
- Open Access (free for authors & readers)
- No article processing or publication fee
- Indexed by Crossref, EuroPub, WorldCat, DRJI, and others
- Strong academic Editorial and Advisory Boards
Aims & Scope
KJCIS publishes original contributions in the following domains:
Artificial Intelligence
Machine Learning, Neural Networks, Expert Systems
Data Science
Big Data Analytics, Data Mining, Visualization
Cybersecurity
Network Security, Cryptography, Cyber Defense
Software Engineering
DevOps, Agile, Software Testing, Architecture
Internet of Things
Embedded Systems, Sensors, Smart Applications
Information Systems
DBMS, ERP, Business Intelligence, MIS
Indexing & Abstracting
KJCIS is indexed and abstracted in prestigious databases:
- Crossref (DOIs Active)
- Google Scholar
- PKP Index
- ROAD – ISSN Portal
- Directory of Research Journals Indexing (DRJI)
- EuroPub Database
- WorldCat
Journal Policies
Our policies ensure transparency and ethical publishing:
- Publication Ethics
- Peer Review Policy & Process
- Submission Guidelines
- Copyright Policy
- Open Access Policy
- Archiving Policy
Publication Ethics
KJCIS adheres to the highest standards of publication ethics in accordance with guidelines from COPE (Committee on Publication Ethics). We maintain strict policies against plagiarism, data fabrication, and duplicate publication.
Transparency
Clear review and publication processes for all stakeholders.
Author Rights
Protection of intellectual property and proper attribution.
Rigorous Review
Double-blind peer review by domain experts.
Featured Research
Explore some of our most cited and impactful research articles:
Advanced Machine Learning Algorithms for Predictive Analytics in Big Data
This research presents novel ML algorithms optimized for big data environments, achieving 95% accuracy in predictive modeling across diverse datasets.
Read Full ArticleBlockchain Implementation for Secure Digital Identity Management Systems
A comprehensive framework for implementing blockchain technology in digital identity management, enhancing security and user privacy.
Read Full Article