SCI Journal

Impact Factor Database

Journal of Machine Learning Research

Basic Journal Info


United States
Journal ISSN: 15337928, 15324435
Publisher: MIT Press
History: 2001-ongoing
Journal Hompage: Link
You can find more information about getting published on this journal here:

Research Categories

Impact Factor Ranking

Computer Science


The Journal of Machine Learning Research (JMLR) provides an international forum for the electronic and paper publication of high-quality scholarly articles in all areas of machine learning. All published papers are freely available online. JMLR has a commitment to rigorous yet rapid reviewing. JMLR seeks previously unpublished papers on machine learning that contain: new principled algorithms with sound empirical validation, and with justification of theoretical, psychological, or biological nature; experimental and/or theoretical studies yielding new insight into the design and behavior of learning in intelligent systems; accounts of applications of existing techniques that shed light on the strengths and weaknesses of the methods; formalization of new learning tasks (e.g., in the context of new applications) and of methods for assessing performance on those tasks; development of new analytical frameworks that advance theoretical studies of practical learning methods; computational models of data from natural learning systems at the behavioral or neural level; or extremely well-written surveys of existing work.

Journal of Machine Learning Research

Impact Factor Trend 2002 - 2018 / 2019
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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Journal of Machine Learning Research

Impact Factor History
  • 2018 / 2019 Impact Factor 5.312
  • 2017 Impact Factor 3.271
  • 2016 Impact Factor 3.654
  • 2015 Impact Factor 3.125
  • 2014 Impact Factor 2.742
  • 2013 Impact Factor 2.909
  • 2012 Impact Factor 3.669
  • 2011 Impact Factor 3.459
  • 2010 Impact Factor 4.833
  • 2009 Impact Factor 3.549
  • 2008 Impact Factor 3.375
  • 2007 Impact Factor 4.959
  • 2006 Impact Factor 5.801
  • 2005 Impact Factor 7.561
  • 2004 Impact Factor 5.946
  • 2003 Impact Factor 6.357
  • 2002 Impact Factor 7.250
  • 2001 Impact Factor NA
  • 2000 Impact Factor NA
Note: impact factor data for reference only

3-Years Average
Impact Factor


3-Years Growth
Impact Factor


5-Years Average
Impact Factor


5-Years Growth
Impact Factor


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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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Journal of Machine Learning Research


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


Journal of Machine Learning Research

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.