SCI Journal

Impact Factor Database

Machine Learning

Basic Journal Info

Country

Netherlands
Journal ISSN: 15730565, 08856125
Publisher: Kluwer Academic Publishers
History: 1986-ongoing
Journal Hompage: Link
Note:
You can find more information about getting published on this journal here: https://www.editorialmanager.com/mach/default.aspx

Research Categories

Machine Learning

2-year
Impact Factor

3.493

3-year
Impact Factor

3.592

4-year
Impact Factor

3.700

Scope/Description:

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.

Machine Learning

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

Machine Learning

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

Machine Learning

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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Machine Learning

Impact Factor History
  • 2019 Impact Factor 3.493
  • 2018 Impact Factor 2.901
  • 2017 Impact Factor 2.590
  • 2016 Impact Factor 3.298
  • 2015 Impact Factor 2.687
  • 2014 Impact Factor 3.475
  • 2013 Impact Factor 4.067
  • 2012 Impact Factor 3.609
  • 2011 Impact Factor 3.895
  • 2010 Impact Factor 4.153
  • 2009 Impact Factor 2.800
  • 2008 Impact Factor 4.056
  • 2007 Impact Factor 3.879
  • 2006 Impact Factor 4.651
  • 2005 Impact Factor 5.835
  • 2004 Impact Factor 4.949
  • 2003 Impact Factor 4.347
  • 2002 Impact Factor 3.544
  • 2001 Impact Factor 3.353
  • 2000 Impact Factor 1.648
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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Machine Learning

H-Index

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

135

Machine Learning

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.

0.71