Computer Systems Science and Engineering

Aims & Scope

Whilst considerable progress has been made in the development of computer hardware, the construction of large software or software/hardware systems still remains a challenging area.

The issues multiply further when there is a need to achieve greater flexibility through the use of distributed systems, much greater computing power through the use of multiple processors and new architectures, greater reliability through the use of fault tolerance and greater capability though the use of intelligent components.

These areas of research and development activity belong to the developing discipline which known as computer systems.

Modern computer systems do not confine themselves to any one of these areas, but draw them together in various combinations.

CSSE is devoted to theoretical developments in computer systems science and their applications in computer systems engineering.

The journal covers the intense research activity that is being carried out in the systems field in both theoretical and practical hardware and software problems, together with the substantial amount of work being carried out within industry on the engineering, implementation and development of such systems.

Original research papers, state-of-art reviews and technical notes are published regularly.

Research notes, new development experience and application papers are an important part of the journal’s all-round coverage of the subject; industrial developments and new products are also monitored.

A conference calendar, reviews of new books and reports of important meetings from around the world keep the reader fully informed.

Metrics & Ranking

Abstracting & Indexing

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

• Scopus
• Google Scholar

Subjects & Keywords

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

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.

• Optimal Solution of Fuzzy Transportation Problem Using Octagonal Fuzzy Numbers

  Citation: 283

  Authors: D., C., R.

• A Robust 3-D Medical Watermarking Based on Wavelet Transform for Data Protection

  Citation: 188

  Authors: Xiaorui, Wenfang, Wei, Xingming, Sunil

• CNN Based Automated Weed Detection System Using UAV Imagery

  Citation: 112

  Authors: Mohd

• Internet of Things in Healthcare: Architecture, Applications, Challenges, and Solutions

  Citation: 81

  Authors: Vankamamidi, Suryateja, Pilla, Sivaranjani

• The Human Eye Pupil Detection System Using BAT Optimized Deep Learning Architecture

  Citation: 80

  Authors: S., P., S., C.

• Lexicalized Dependency Paths Based Supervised Learning for Relation Extraction

  Citation: 78

  Authors: Huiyu, Ralph

• Wrapper Based Linear Discriminant Analysis (LDA) for Intrusion Detection in IIoT

  Citation: 75

  Authors: B., T., M.

• Cyber Security and Privacy Issues in Industrial Internet of Things

  Citation: 71

  Authors: NZ, Mamoona, Saleh

• Planetscope Nanosatellites Image Classification Using Machine Learning

  Citation: 65

  Authors: Mohd

• A Novel Fault Tolerance Energy-Aware Clustering Method via Social Spider Optimization (SSO) and Fuzzy Logic and Mobile Sink in Wireless Sensor Networks (WSNs)

  Citation: 61

  Authors: