International Journal of Knowledge and Systems Science - IGI Global | 2025 Impact Factor:0.6 | Cite Score:1.9 | SCOPUS Q3

Cite Score and Journal Rank of International Journal of Knowledge and Systems Science

• About: The International Journal of Knowledge and Systems Science publishes original research articles, reviews, and case studies on topics related to knowledge systems and systems science. Areas of interest include knowledge representation, knowledge management systems, systems theory, information systems, and the application of systems science principles in various fields. The journal aims to address both theoretical and practical aspects of knowledge and systems science.
• Objective
  The primary objective of IJKSS is to advance understanding and innovation in knowledge systems and systems science by providing a forum for high-quality research. The journal seeks to facilitate the exchange of ideas and promote innovative solutions that enhance the development and application of knowledge systems and systems science.
• Interdisciplinary Approach
  International Journal of Knowledge and Systems Science adopts an interdisciplinary approach, recognizing that advancements in knowledge systems and systems science often involve insights from various fields such as computer science, information systems, management, and organizational theory. The journal encourages contributions that integrate these diverse perspectives to address complex challenges and develop comprehensive solutions.
• Impact and Significance
  The journal has a significant impact on both academic and professional communities by providing a valuable resource for research and development in knowledge systems and systems science. Its influence is reflected in its ability to shape research agendas, drive technological innovations, and enhance understanding and practices in these fields.

• Journal Home:  Journal Homepage

• Editor-in-Chief:  Van Nam Huynh

• Scope: The International Journal of Knowledge and Systems Science (IJKSS) focuses on research and developments in the field of knowledge management and systems science. It aims to advance understanding and applications of knowledge systems, organizational knowledge, and their role in various systems.
• Knowledge Management:
  Theoretical foundations and models of knowledge management
  Techniques for knowledge capture, storage, and retrieval
  Knowledge sharing and dissemination strategies
  Organizational knowledge and its impact on performance
  Best practices and case studies in knowledge management
• Systems Science:
  Fundamental principles and theories in systems science
  System modeling, analysis, and design
  Application of systems theory in various domains
  Interdisciplinary approaches to system development and evaluation
  Innovations and advancements in systems science methodologies
• Knowledge Systems and Applications:
  Development and implementation of knowledge-based systems
  Applications of knowledge systems in business, healthcare, and other sectors
  Integration of knowledge management with information systems
  Tools and technologies for managing and utilizing knowledge
  Impact of knowledge systems on organizational and societal outcomes
• Information and Data Science:
  Relationship between knowledge management and data science
  Techniques for data analysis and knowledge extraction
  Use of data-driven approaches in knowledge systems
  Challenges and solutions in managing large-scale knowledge and data
  Case studies of data science applications in knowledge systems
• Future Directions and Research Challenges:
  Emerging trends and future directions in knowledge and systems science
  Research opportunities in integrating new technologies with knowledge systems
  Predictions for the evolution of knowledge management practices
  Addressing challenges and opportunities in the field
  Vision for future research and development in knowledge and systems science
• Latest Research Topics for PhD in Computer Science

• Print ISSN:  1947-8208

  Electronic ISSN:  1947-8216

• Abstracting and Indexing:  Scopus, Emerging Source and iteration index

• Imapct Factor 2025:  0.6

• Subject Area and Category:  Business, Management and Accounting,Management of Technology and Innovation,Organizational Behavior and Human Resource Management,Strategy and Management,Computer Science,Artificial Intelligence,Information Systems,Decision Sciences,Information Systems and Management

• Publication Frequency:  Quarterly

• H Index:  12

• Best Quartile:

  Q1:  

  Q2:  

  Q3:  Artificial Intelligence

  Q4:  

• Cite Score:  1.9

• SNIP:  0.207

• Journal Rank(SJR):  0.187

• Latest Articles:   Latest Articles in International Journal of Knowledge and Systems Science

• Guidelines for Authors: International Journal of Knowledge and Systems Science Author Guidelines

• Paper Submissions: Paper Submissions in International Journal of Knowledge and Systems Science

• Publisher:  IGI Global Publishing

  Country:  United States

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