SCI Journal

Impact Factor Database

Statistical Analysis and Data Mining

Basic Journal Info


United States
Journal ISSN: 19321872
Publisher: Wiley Subscription Services
History: 2008-ongoing
Journal Hompage: Link
You can find more information about getting published on this journal here:

Research Categories

Statistical Analysis and Data Mining

Impact Factor


Impact Factor


Impact Factor



Statistical Analysis and Data Mining addresses the broad area of data analysis, including statistical approaches, machine learning, data mining, and applications. Topics include statistical and computational approaches for analyzing massive and complex datasets, novel statistical and/or machine learning methods and theory, and state-of-the-art applications with high impact. Of special interest are articles that describe innovative analytical techniques, and discuss their application to real problems, in such a way that they are accessible and beneficial to domain experts across science, engineering, and commerce. The focus of the journal is on papers which satisfy one or more of the following criteria: Solve data analysis problems associated with massive, complex datasets Develop innovative statistical approaches, machine learning algorithms, or methods integrating ideas across disciplines, e.g., statistics, computer science, electrical engineering, operation research. Formulate and solve high-impact real-world problems which challenge existing paradigms via new statistical and/or computational models Provide survey to prominent research topics.

Statistical Analysis and Data Mining

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

Statistical Analysis and Data Mining

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

Statistical Analysis and Data Mining

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?

See what other people are reading


Statistical Analysis and Data Mining

Impact Factor History
  • 2019 Impact Factor 1.915
  • 2018 Impact Factor 0.931
  • 2017 Impact Factor 1.135
  • 2016 Impact Factor 1.298
  • 2015 Impact Factor 0.781
  • 2014 Impact Factor 1.176
  • 2013 Impact Factor 1.622
  • 2012 Impact Factor 1.409
  • 2011 Impact Factor 1.076
  • 2010 Impact Factor 1.085
  • 2009 Impact Factor 3.125
  • 2008 Impact Factor 0.000
  • 2007 Impact Factor NA
  • 2006 Impact Factor NA
  • 2005 Impact Factor NA
  • 2004 Impact Factor NA
  • 2003 Impact Factor NA
  • 2002 Impact Factor NA
  • 2001 Impact Factor NA
  • 2000 Impact Factor NA
Note: impact factor data for reference only

See what other people are reading


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.

(Read More)

Statistical Analysis and Data Mining


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


Statistical Analysis and Data Mining

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.