SN Computer Science

Aims & Scope

SN Computer Science is a broad-based, peer reviewed journal that publishes original research in all the disciplines of computer science including various inter-disciplinary aspects.

The Journal welcomes submissions from a wide range of topics including, but not limited to: • Artificial Intelligence • Robotics • Machine learning • Computer Vision • Pattern Recognition • Image Processing • Computer Graphics • Human-Computer Interface • Document and Handwriting Processing • Video Technologies • Biometrics and Computer Forensics • Soft Computing • Brain Computing • Quantum Computing • Information Retrieval • Internet Computing and Data Mining • Theoretical Computer Science: Logic, Algorithms, and Complexity • Automated Proofs and Formal Verification • Computational Geometry • Information Theory • Speech and Signal Processing • Algorithms and Data Structures • Programming Languages • Software Engineering • Computer Architecture • Computer and Communication Networks • Computer and Network Performance • Modeling and Simulation • Energy Consumption and Harvesting Computers & Networks • Green ICT • Computer and Network Security/Privacy • Cryptography • High Performance Computing • Parallel Computing and Architecture • Distributed and Cloud Computing • Social Networks • Database Systems and Theory • Computers and Networks in Supply Chains and Manufacturing • Computers and Networks for Health Systems • Computational Biology and Bioinformatics • Cyber-Physical Systems • Internet of Things (IoT) • Mathematical Programming and Combinatorial Optimization • Economics and Computation

View Aims & Scope

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Metrics & Ranking

SJR (SCImago Journal Rank)

Year	Value
2024	0.565

Quartile

Year	Value
2024	Q2

h-index

Year	Value
2024	49

Journal Rank

Year	Value
2024	10296

Journal Citation Indicator

Year	Value
2024	6977

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science, designed to support cutting-edge academic discovery.

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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.

• Machine Learning: Algorithms, Real-World Applications and Research Directions

  Citation: 3684

  Authors: Iqbal H.

• Deep Learning: A Comprehensive Overview on Techniques, Taxonomy, Applications and Research Directions

  Citation: 1879

  Authors: Iqbal H.

• AI-Based Modeling: Techniques, Applications and Research Issues Towards Automation, Intelligent and Smart Systems

  Citation: 735

  Authors: Iqbal H.

• Detecting Affect States Using VGG16, ResNet50 and SE-ResNet50 Networks

  Citation: 500

  Authors: Dhananjay, R. R.

• Heart Disease Prediction using Machine Learning Techniques

  Citation: 480

  Authors: Devansh, Samir, Santosh Kumar

• Development of Smart Healthcare Monitoring System in IoT Environment

  Citation: 445

  Authors: Md. Milon, Ashikur, Md. Rashedul

• AI-Driven Cybersecurity: An Overview, Security Intelligence Modeling and Research Directions

  Citation: 338

  Authors: Iqbal H., Md Hasan, Raza

• Data Science and Analytics: An Overview from Data-Driven Smart Computing, Decision-Making and Applications Perspective

  Citation: 327

  Authors: Iqbal H.

• Breast Cancer Prediction: A Comparative Study Using Machine Learning Techniques

  Citation: 274

  Authors: Md. Milon, Md. Rezwanul, Hasib, Md. Munirul, Mahmudul, Muhammad Nomani

• Supervised Machine Learning Models for Prediction of COVID-19 Infection using Epidemiology Dataset

  Citation: 216

  Authors: L. J., Ebrahem A., Sani Sharif, Abdulkadir, Chinmay, I. A.

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