Journal of King Saud University - Computer and Information Sciences
Published by Springer Nature
ISSN : 1319-1578 eISSN : 2213-1248
Abbreviation : J. King Saud Univ. Comput. Inf. Sci.
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.
View Aims & ScopeMetrics & Ranking
Impact Factor
Year | Value |
---|---|
2025 | 6.1 |
2024 | 5.20 |
Journal Rank
Year | Value |
---|---|
2024 | 2853 |
Journal Citation Indicator
Year | Value |
---|---|
2024 | 12643 |
SJR (SCImago Journal Rank)
Year | Value |
---|---|
2024 | 1.357 |
Quartile
Year | Value |
---|---|
2024 | Q1 |
h-index
Year | Value |
---|---|
2024 | 77 |
Impact Factor Trend
Abstracting & Indexing
Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.
Subjects & Keywords
Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science, designed to support cutting-edge academic discovery.
Licensing & Copyright
This journal operates under an Open Access model. Articles are freely accessible to the public immediately upon publication. The content is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing users to share and adapt the work with proper attribution.
Copyright remains with the author(s), and no permission is required for non-commercial use, provided the original source is cited.
Policy Links
This section provides access to essential policy documents, guidelines, and resources related to the journal’s publication and submission processes.
- Aims scope
- Homepage
- Oa statement
- Author instructions
- License terms
- Review url
- Board url
- Copyright url
- Plagiarism url
- Preservation url
- Apc url
- License
Plagiarism Policy
This journal follows a plagiarism policy. All submitted manuscripts are screened using reliable plagiarism detection software to ensure originality and academic integrity. Authors are responsible for proper citation and acknowledgment of all sources, and any form of plagiarism, including self-plagiarism, will not be tolerated.
For more details, please refer to our official: Plagiarism Policy.
APC Details
The journal’s Article Processing Charge (APC) policies support open access publishing in Computer Science, ensuring accessibility and quality in research dissemination.
This journal requires an Article Processing Charge (APC) to support open access publishing, covering peer review, editing, and distribution. The current APC is 1,450.00 USD. Learn more.
Explore journals without APCs for alternative publishing options.
Most Cited Articles
The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.
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A comprehensive review on ensemble deep learning: Opportunities and challenges
Citation: 590
Authors: Ammar, Rania
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Fruits and vegetables quality evaluation using computer vision: A review
Citation: 309
Authors: Anuja, Atul
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Precision agriculture using IoT data analytics and machine learning
Citation: 297
Authors: Ravesa, Shabir Ahmad
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Intrusion detection model using fusion of chi-square feature selection and multi class SVM
Citation: 224
Authors: Ikram, Cherukuri
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Load balancing in cloud computing: A big picture
Citation: 218
Authors: Sambit Kumar, Bibhudatta, Priti Paramita