Machine Learning
Impact Factor & Key Scientometrics

Machine Learning

Impact Factor


H Index


Impact Factor


I. Basic Journal Info


Journal ISSN: 08856125, 15730565
Publisher: Kluwer Academic Publishers
History: 1986-ongoing
Journal Hompage: Link
How to Get Published:

Research Categories


Machine Learning is an international forum for research on computational approaches to learning. The journal publishes articles reporting substantive results on a wide range of learning methods applied to a variety of learning problems, including but not limited to: Learning Problems: Classification, regression, recognition, and prediction; Problem solving and planning; Reasoning and inference; Data mining; Web mining; Scientific discovery; Information retrieval; Natural language processing; Design and diagnosis; Vision and speech perception; Robotics and control; Combinatorial optimization; Game playing; Industrial, financial, and scientific applications of all kinds. Learning Methods: Supervised and unsupervised learning methods (including learning decision and regression trees, rules, connectionist networks, probabilistic networks and other statistical models, inductive logic programming, case-based methods, ensemble methods, clustering, etc.); Reinforcement learning; Evolution-based methods; Explanation-based learning; Analogical learning methods; Automated knowledge acquisition; Learning from instruction; Visualization of patterns in data; Learning in integrated architectures; Multistrategy learning; Multi-agent learning.

II. Science Citation Report (SCR)

Machine Learning
SCR Impact Factor

Machine Learning
SCR Journal Ranking

Machine Learning
SCImago SJR Rank

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.


Machine Learning
Scopus 2-Year Impact Factor Trend

Note: impact factor data for reference only

Machine Learning
Scopus 3-Year Impact Factor Trend

Note: impact factor data for reference only

Machine Learning
Scopus 4-Year Impact Factor Trend

Note: impact factor data for reference only

Machine Learning
Impact Factor History

2-year 3-year 4-year
  • 2022 Impact Factor
    7.248 6.538 6.332
  • 2021 Impact Factor
    4.541 4.811 4.619
  • 2020 Impact Factor
    3.635 3.777 3.85
  • 2019 Impact Factor
    3.27 3.458 3.514
  • 2018 Impact Factor
    2.599 2.91 3.516
  • 2017 Impact Factor
    2.432 2.848 3.007
  • 2016 Impact Factor
    3.042 3.221 3.548
  • 2015 Impact Factor
    2.774 3.553 3.975
  • 2014 Impact Factor
    3.474 NA NA
  • 2013 Impact Factor
    3.858 NA NA
  • 2012 Impact Factor
    3.345 NA NA
  • 2011 Impact Factor
    3.655 NA NA
  • 2010 Impact Factor
    3.876 NA NA
  • 2009 Impact Factor
    2.417 NA NA
  • 2008 Impact Factor
    3.691 NA NA
  • 2007 Impact Factor
    3.636 NA NA
  • 2006 Impact Factor
    4.398 NA NA
  • 2005 Impact Factor
    5.522 NA NA
  • 2004 Impact Factor
    4.604 NA NA
  • 2003 Impact Factor
    4 NA NA
  • 2002 Impact Factor
    3.415 NA NA
  • 2001 Impact Factor
    3.376 NA NA
  • 2000 Impact Factor
    1.91 NA NA
Note: impact factor data for reference only




Impact Factor

Impact factor (IF) is a scientometric factor based on the yearly average number of citations on articles published by a particular journal in the last two years. A journal impact factor is frequently used as a proxy for the relative importance of a journal within its field. Find out more: What is a good impact factor?

III. Other Science Influence Indicators

Any impact factor or scientometric indicator alone will not give you the full picture of a science journal. There are also other factors such as H-Index, Self-Citation Ratio, SJR, SNIP, etc. Researchers may also consider the practical aspect of a journal such as publication fees, acceptance rate, review speed. (Learn More)

Machine Learning

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


Machine Learning
H-Index History