Journal of Machine Learning Research
Impact Factor & Key Scientometrics

Journal of Machine Learning Research
Overview

Impact Factor

3.654

H Index

221

Impact Factor

5.413

I. Basic Journal Info

Country

United States
Journal ISSN: 15324435, 15337928
Publisher: MIT Press
History: 2001-ongoing
Journal Hompage: Link
How to Get Published:

Research Categories

Scope/Description:

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 JMLR seeks previously unpublished papers on machine learning that contain: new principled algorithms with sound empirical validation, and with justification of theoretical, psychological, or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.

II. Science Citation Report (SCR)



Journal of Machine Learning Research
SCR Impact Factor

Journal of Machine Learning Research
SCR Journal Ranking

Journal of Machine Learning Research
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.

1.24

Journal of Machine Learning Research
Scopus 2-Year Impact Factor Trend

Note: impact factor data for reference only

Journal of Machine Learning Research
Scopus 3-Year Impact Factor Trend

Note: impact factor data for reference only

Journal of Machine Learning Research
Scopus 4-Year Impact Factor Trend

Note: impact factor data for reference only

Journal of Machine Learning Research
Impact Factor History

2-year 3-year 4-year
  • 2022 Impact Factor
    7.188 7.767 8.08
  • 2021 Impact Factor
    5.413 5.894 6.317
  • 2020 Impact Factor
    5.55 6.407 7.49
  • 2019 Impact Factor
    4.737 6.266 6.11
  • 2018 Impact Factor
    4.656 4.672 7.377
  • 2017 Impact Factor
    3.144 5.202 5.009
  • 2016 Impact Factor
    3.974 4.03 4.314
  • 2015 Impact Factor
    3.117 3.534 5.03
  • 2014 Impact Factor
    2.792 NA NA
  • 2013 Impact Factor
    2.957 NA NA
  • 2012 Impact Factor
    3.617 NA NA
  • 2011 Impact Factor
    3.493 NA NA
  • 2010 Impact Factor
    4.529 NA NA
  • 2009 Impact Factor
    3.7 NA NA
  • 2008 Impact Factor
    3.673 NA NA
  • 2007 Impact Factor
    5.301 NA NA
  • 2006 Impact Factor
    6.285 NA NA
  • 2005 Impact Factor
    7.626 NA NA
  • 2004 Impact Factor
    6.08 NA NA
  • 2003 Impact Factor
    6.655 NA NA
  • 2002 Impact Factor
    7.25 NA NA
  • 2001 Impact Factor
    0 NA NA
  • 2000 Impact Factor
    NA NA NA
Note: impact factor data for reference only

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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)

Journal of Machine Learning Research
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

221

Journal of Machine Learning Research
H-Index History