International Journal of Knowledge and Systems Science
Published by IGI Global Publishing
ISSN : 1947-8208 eISSN : 1947-8216
Abbreviation : Int. J. Knowl. Syst. Sci.
Aims & Scope
The mission of the International Journal of Knowledge and Systems Science (IJKSS) is to promote the development of knowledge science and systems science as well as the collaboration between the two sciences among academics and professionals from various disciplines around the world.
IJKSS establishes knowledge and systems science as a vigorous academic discipline in universities.
Targeting academicians, professors, students, practitioners, and field specialists, this journal covers the development of new paradigms in the understanding and modeling of human knowledge process from mathematical, technical, social, psychological, and philosophical frameworks.
The International Journal of Knowledge and Systems Science was originally launched by the International Society of Knowledge and Systems Science, which was initiated in 2000 in Japan and founded by Prof.
Y.
Nakamori, Professor Z.
T.
Wang and Professor J.
Gu in 2003 in Guangzhou.
Professor Z.
T.
Wang was its Founding Editor.
View Aims & ScopeMetrics & Ranking
Impact Factor
Year | Value |
---|---|
2025 | 0.6 |
2024 | 0.60 |
Journal Rank
Year | Value |
---|---|
2024 | 22244 |
Journal Citation Indicator
Year | Value |
---|---|
2024 | 41 |
SJR (SCImago Journal Rank)
Year | Value |
---|---|
2024 | 0.184 |
Quartile
Year | Value |
---|---|
2024 | Q4 |
h-index
Year | Value |
---|---|
2024 | 11 |
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 Business, Management and Accounting, Computer Science and Decision Sciences, 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.
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Comparison of Machine Learning Techniques for Software Quality Prediction
Citation: 39
Authors: Somya, Pradeep Kumar
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The Management of Knowledge Risks: What do We Really Know?
Citation: 25
Authors: Susanne, Guido, Thomas
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Collaborative Intrusion Detection System in Cognitive Smart City Network (CSC-Net)
Citation: 17
Authors: Aishwarya, Sivaraman
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QoE-Based Multi-Criteria Decision Making for Resource Provisioning in Fog Computing Using AHP Technique
Citation: 15
Authors: Shefali, Rajinder, P. K.