SCI Journal

Impact Factor Database

Intelligent Data Analysis

Basic Journal Info


United Kingdom
Journal ISSN: 1088467X
Publisher: IOS Press
History: 1997-ongoing
Journal Hompage: Link

Research Categories

Intelligent Data Analysis

Impact Factor


Impact Factor


Impact Factor



Intelligent Data Analysis provides a forum for the examination of issues related to the research and applications of Artificial Intelligence techniques in data analysis across a variety of disciplines. These techniques include (but are not limited to): all areas of data visualization, data pre-processing (fusion, editing, transformation, filtering, sampling), data engineering, database mining techniques, tools and applications, use of domain knowledge in data analysis, evolutionary algorithms, machine learning, neural nets, fuzzy logic, statistical pattern recognition, knowledge filtering, and post-processing.

Intelligent Data Analysis

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

Intelligent Data Analysis

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

Intelligent Data Analysis

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.

(Read More: What is a good impact factor?)

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Intelligent Data Analysis

Impact Factor History
  • 2019 Impact Factor 0.921
  • 2018 Impact Factor 0.872
  • 2017 Impact Factor 0.842
  • 2016 Impact Factor 0.838
  • 2015 Impact Factor 0.840
  • 2014 Impact Factor 0.885
  • 2013 Impact Factor 0.929
  • 2012 Impact Factor 0.833
  • 2011 Impact Factor 0.805
  • 2010 Impact Factor 0.900
  • 2009 Impact Factor 1.357
  • 2008 Impact Factor 0.750
  • 2007 Impact Factor 0.785
  • 2006 Impact Factor 1.090
  • 2005 Impact Factor 0.723
  • 2004 Impact Factor 0.677
  • 2003 Impact Factor 0.774
  • 2002 Impact Factor 0.385
  • 2001 Impact Factor 0.791
  • 2000 Impact Factor 0.764
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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Intelligent Data Analysis


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


Intelligent Data Analysis

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.