International Journal of Software Innovation

Aims & Scope

The mission of the International Journal of Software Innovation (IJSI) is to provide a comprehensive body of innovative knowledge in a variety of software system domains.

The journal stipulates the sharing of research results, surveys, and practical experience in every phase of the software lifecycle—from inception, through systems and requirements engineering, system/software architectural design, component design, implementation, testing, maintenance, and reengineering, to the retirement of software systems.

The journal facilitates the sharing of scientific and engineering knowledge pertaining to the development of software systems in a social, organizational, managerial, or global setting.

Topics Covered Big data, data sciences Bio-informatics Cloud computing, sustainable software/computing infrastructure Consumer Electronics Convergent technologies Cyber-Physical Systems Data mining, intelligent knowledge retrieval, knowledge visualization Decision Support Systems E-earth/nation/city/home/health/transportation/etc.

E-science and technology, e-learning Expert systems, natural/artificial intelligence Global collaborative systems Human-machine interface, human-computer interaction, usability engineering Information systems, web-based systems Multimedia, computer graphics Operating Systems Real-time embedded systems Robotics Security, privacy, trustworthiness, intellectual rights Signal/image processing, pattern recognition Smart phone applications, mobile computing Social Networking Systems engineering, control systems Telecommunications Ubiquitous systems Virtual reality, computer games.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	0.6
2024	0.60

SJR (SCImago Journal Rank)

Year	Value
2024	0.177

Quartile

Year	Value
2024	Q3

h-index

Year	Value
2024	13

Journal Rank

Year	Value
2024	22662

Journal Citation Indicator

Year	Value
2024	175

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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
• Web of Science

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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.

• Internet of Things (IOT) in Healthcare – Smart Health and Surveillance, Architectures, Security Analysis and Data Transfer

  Citation: 40

  Authors: Parthasarathy

• Agile Scrum Issues at Large-Scale Distributed Projects

  Citation: 32

  Authors: Ayesha, Shariq Aziz, Tauseef, Saikat

• VirtualCareGiver

  Citation: 31

  Authors: Seiki, Kazunari, Sachio, Masahide, Kiyoshi

• Exploration and Exploitation of Developers' Sentimental Variations in Software Engineering

  Citation: 23

  Authors: Md Rakibul, Minhaz F.

• Orrs Orchestration of a Resource Reservation System Using Fuzzy Theory in High-Performance Computing

  Citation: 22

  Authors: Ashish, Ritu

• IoT Data Management Using Cloud Computing and Big Data Technologies

  Citation: 21

  Authors: Sangeeta, Raghuram

• Specifying Knowledge Graph with Data Graph, Information Graph, Knowledge Graph, and Wisdom Graph

  Citation: 21

  Authors: Yucong, Lixu, Gongzhu

• Network Support Data Analysis for Fault Identification Using Machine Learning

  Citation: 18

  Authors: Shakila, Usha Devi

• Test Case Reduction Using Data Mining Technique

  Citation: 16

  Authors: Ahmad A., Emad, Hanadi, Ayat AL

• A Machine Learning-Based Framework for Diagnosis of Breast Cancer

  Citation: 15

  Authors: Ravi Kumar, Priyanka

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