Journal of King Saud University - Computer and Information Sciences
Q1 Journal
Open Access
Journal
Country
Switzerland
Western Europe
Subject Area and Category
Computer Science
└
Computer Science (miscellaneous)
Q1
Publisher
SJR 2025
1.434
Q1
SJR Score
H-Index
97
Citations / Doc (2yr)
8.84
Total Docs. (latest)
359
Total Citations (3yr)
14,662
Publication type
Journals
ISSN
22131248, 13191578
Coverage
2014-2026
Journal Rank
#2,633
Subject Categories
Computer Science (miscellaneous)
Q1
Subject Areas
Aims & Scope
The Journal of King Saud University Computer and Information Sciences is a refereed, international journal that covers all aspects of both foundations of computer and its practical applications.
The journal publishes original papers in the areas of, but not limited to:
-Arabization
-Big Data
-Bioinformatics
-Biometrics
-Cloud Computing
-Computer Graphics
-Computer Vision
-Crowd Computing
-Data Mining
-Data Warehouse
-e-Business
-e-Learning
-Embedded Systems
-Fuzzy Systems
-Grid Computing
-High Performance Computing
-Image Processing
-Information Security
-Internet of Things
-Machine Learning
-Mobile Computing
-Natural Language Processing
-Net Centric Computing
-Network Protocols
-Network Security
-Pattern Recognition
-Pervasive Computing
-Robotics
-Social Networks
-Software Engineering
-Speech Processing
-Wireless and Mobile Networks
-Wireless Sensor Networks
Special emphasis is given to recent trends related to the cutting-edge research within the domain.
The journal publishes also Special Issues within its scope resulting from specific and dedicated editorial efforts or covering a particular theme.
All articles are subjected to extensive review by international reviewers.
Abstracting & Indexing
Scopus
Google Scholar
Directory of Open Access Journals (DOAJ)
Web of Science
Detailed Metrics
| Total Docs. (latest) | 359 |
| Total Docs. (3 years) | 1,515 |
| Total Refs. | 19,041 |
| Total Citations (3 years) | 14,662 |
| Citable Docs. (3 years) | 1,514 |
| Citations / Doc. (2 years) | 8.84 |
| Ref. / Doc. | 53.04 |
| % Female | 33.0% |
Metrics Visualization
Latest year data vs 3-year cumulative figures
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