SCI Journal

Impact Factor Database

Knowledge-Based Systems

Basic Journal Info


Journal ISSN: 9507051
Publisher: Elsevier BV
History: 1987-ongoing
Journal Hompage: Link
You can find more information about getting published on this journal here:

Research Categories

Knowledge-Based Systems

Impact Factor


Impact Factor


Impact Factor



Knowledge-Based Systems is an international, interdisciplinary and applications-oriented journal. This journal focuses on systems that use knowledge-based (KB) techniques to support human decision-making, learning and action; emphases the practical significance of such KB-systems; its computer development and usage; covers the implementation of such KB-systems: design process, models and methods, software tools, decision-support mechanisms, user interactions, organizational issues, knowledge acquisition and representation, and system architectures. This journal's current leading topics are but not limited to: • Big data techniques and methodologies, data-driven information systems, and knowledge acquisition • Cognitive interaction and intelligent human interfaces • Recommender systems and E-service personalization • Intelligent decision support systems, prediction systems and warning systems • Computational and artificial intelligence based systems and uncertain information processes • Swarm intelligence and evolutionary computing • Knowledge engineering, machine learning-based systems and web semantics The journal also welcomes papers describing novel applications of knowledge based systems in any human endeavor: ranging from financial technology to engineering to health science or any other domain impacted by Artificial Intelligence technologies and its associated techniques and systems.

Knowledge-Based Systems

2-year Impact Factor Trend
Note: impact factor data for reference only

Knowledge-Based Systems

3-year Impact Factor Trend
Note: impact factor data for reference only

Knowledge-Based Systems

4-year Impact Factor Trend
Note: impact factor data for reference only

Impact Factor

The impact factor (IF) or journal impact factor (JIF) of an academic journal is a scientometric factor based on the yearly average number of citations on articles published by a particular journal in the last two years. In other words, the impact factor of 2020 is the average of the number of cited publications divided by the citable publications of a journal. A journal impact factor is frequently used as a proxy for the relative importance of a journal within its field. Normally, journals with higher impact factors are often deemed to have more influence than those with lower ones. However, the science community has also noted that review articles typically are more citable than research articles.

Find out more: What is a good impact factor?
And check out: How to get published in a top science journal?

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Knowledge-Based Systems

Impact Factor History
  • 2019 Impact Factor 7.807
  • 2018 Impact Factor 6.505
  • 2017 Impact Factor 5.766
  • 2016 Impact Factor 5.585
  • 2015 Impact Factor 4.971
  • 2014 Impact Factor 4.605
  • 2013 Impact Factor 4.628
  • 2012 Impact Factor 6.108
  • 2011 Impact Factor 3.912
  • 2010 Impact Factor 2.913
  • 2009 Impact Factor 2.291
  • 2008 Impact Factor 1.662
  • 2007 Impact Factor 1.241
  • 2006 Impact Factor 1.478
  • 2005 Impact Factor 1.343
  • 2004 Impact Factor 1.105
  • 2003 Impact Factor 1.039
  • 2002 Impact Factor 0.580
  • 2001 Impact Factor 0.615
  • 2000 Impact Factor 0.486
Note: impact factor data for reference only

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Other Journal Impact Indicator

Any journal impact factor or scientometric indicator alone will not give you the full picture of a science journal. That’s why every year, scholars review current metrics to improve upon them and sometimes come up with new ones. There are also other factors to sider for example, H-Index, Self-Citation Ratio, SJR (SCImago Journal Rank Indicator) and SNIP (Source Normalized Impact per Paper). Researchers may also consider the practical aspect of a journal such as publication fees, acceptance rate, review speed.

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Knowledge-Based Systems


The h-index is an author-level metric that attempts to measure both the productivity and citation impact of the publications of a scientist or scholar. The index is based on the set of the scientist's most cited papers and the number of citations that they have received in other publications


Knowledge-Based Systems

SCImago Journal Rank (SJR)

SCImago Journal Rank (SJR indicator) is a measure of scientific influence of scholarly journals that accounts for both the number of citations received by a journal and the importance or prestige of the journals where such citations come from.