International Journal of Pattern Recognition and Artificial Intelligence
Impact Factor & Key Scientometrics

International Journal of Pattern Recognition and Artificial Intelligence
Overview

Impact Factor

1.373

H Index

62

Impact Factor

1.668

I. Basic Journal Info

Country

Singapore
Journal ISSN: 2180014
Publisher: World Scientific Publishing Co
History: 1995-ongoing
Journal Hompage: Link
How to Get Published:

Research Categories

Scope/Description:

The International Journal of Pattern Recognition and Artificial Intelligence (IJPRAI) welcomes both theory-oriented and innovative applications articles on new developments and is of interest to both researchers in academia and industry. The current scope of this journal includes: • Pattern Recognition • Machine Learning • Deep Learning • Document Analysis • Image Processing • Signal Processing • Computer Vision • Biometrics • Biomedical Image Analysis • Artificial Intelligence In addition to regular papers describing original research work, survey articles on timely and important research topics are highly welcome. Special issues with focused topics within the scope of this journal are also published.

II. Science Citation Report (SCR)



International Journal of Pattern Recognition and Artificial Intelligence
SCR Impact Factor

International Journal of Pattern Recognition and Artificial Intelligence
SCR Journal Ranking

International Journal of Pattern Recognition and Artificial Intelligence
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.

0.295

International Journal of Pattern Recognition and Artificial Intelligence
Scopus 2-Year Impact Factor Trend

Note: impact factor data for reference only

International Journal of Pattern Recognition and Artificial Intelligence
Scopus 3-Year Impact Factor Trend

Note: impact factor data for reference only

International Journal of Pattern Recognition and Artificial Intelligence
Scopus 4-Year Impact Factor Trend

Note: impact factor data for reference only

International Journal of Pattern Recognition and Artificial Intelligence
Impact Factor History

2-year 3-year 4-year
  • 2023 Impact Factor
    1.205 1.389 1.429
  • 2022 Impact Factor
    1.693 1.718 1.76
  • 2021 Impact Factor
    1.668 1.837 1.718
  • 2020 Impact Factor
    1.5 1.486 1.456
  • 2019 Impact Factor
    1.633 1.642 1.651
  • 2018 Impact Factor
    1.395 1.504 1.5
  • 2017 Impact Factor
    1.349 1.265 1.235
  • 2016 Impact Factor
    1.242 1.122 1.136
  • 2015 Impact Factor
    1.217 1.265 1.32
  • 2014 Impact Factor
    1.012 NA NA
  • 2013 Impact Factor
    1 NA NA
  • 2012 Impact Factor
    0.954 NA NA
  • 2011 Impact Factor
    1.062 NA NA
  • 2010 Impact Factor
    1.076 NA NA
  • 2009 Impact Factor
    0.79 NA NA
  • 2008 Impact Factor
    0.796 NA NA
  • 2007 Impact Factor
    0.648 NA NA
  • 2006 Impact Factor
    0.812 NA NA
  • 2005 Impact Factor
    0.925 NA NA
  • 2004 Impact Factor
    0.792 NA NA
  • 2003 Impact Factor
    0.912 NA NA
  • 2002 Impact Factor
    0.688 NA NA
  • 2001 Impact Factor
    0.463 NA NA
  • 2000 Impact Factor
    0.75 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)

International Journal of Pattern Recognition and Artificial Intelligence
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

62

International Journal of Pattern Recognition and Artificial Intelligence
H-Index History