Journal of Optimization Theory and Applications
Impact Factor & Key Scientometrics

Journal of Optimization Theory and Applications
Overview

Impact Factor

2.249

H Index

92

Impact Factor

2.147

I. Basic Journal Info

Country

United States
Journal ISSN: 00223239, 15732878
Publisher: Kluwer Academic/Plenum Publishers
History: 1967-ongoing
Journal Hompage: Link
How to Get Published:

Research Categories

Journal of Optimization Theory and Applications
Impact Factor by Web of Science

Index

SCIE/SSCI

Impact Factor

2.249

by WOS

Ranking

6971

by WOS

Journal of Optimization Theory and Applications
SJR, SJR Impact Factor and H Index

H Index

92

SJR

1.109

Scopus Impact Factor

2.147

Journal of Optimization Theory and Applications
SJR Impact Factor 2-year, 3-year, 4-year

2-year
Impact Factor

2.147

3-year
Impact Factor

2.2

4-year
Impact Factor

2.147

Scope/Description:

The Journal of Optimization Theory and Applications publishes carefully selected papers covering mathematical optimization techniques and their applications to science and engineering. Typical theoretical areas covered in the journal include linear, nonlinear, mathematical, and dynamic programming. Among the areas of application covered are mathematical economics, mathematical physics and biology, and aerospace, chemical, civil, electrical, and mechanical engineering. The Journal of Optimization Theory and Applications journal publishes five types of contributions: survey papers, contributed papers, technical notes, technical comments, and book notices.

II. Science Citation Report (SCR)



Journal of Optimization Theory and Applications
SCR Impact Factor

Journal of Optimization Theory and Applications
SCR Journal Ranking

Journal of Optimization Theory and Applications
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.

1.109

Journal of Optimization Theory and Applications
Scopus 2-Year Impact Factor Trend

Note: impact factor data for reference only

Journal of Optimization Theory and Applications
Scopus 3-Year Impact Factor Trend

Note: impact factor data for reference only

Journal of Optimization Theory and Applications
Scopus 4-Year Impact Factor Trend

Note: impact factor data for reference only

Journal of Optimization Theory and Applications
Impact Factor History

2-year 3-year 4-year
  • 2021 Impact Factor
    2.147 2.2 2.14
  • 2020 Impact Factor
    2.053 2.089 2.242
  • 2019 Impact Factor
    1.562 1.846 1.884
  • 2018 Impact Factor
    1.836 1.937 1.927
  • 2017 Impact Factor
    1.405 1.505 1.617
  • 2016 Impact Factor
    1.4 1.55 1.679
  • 2015 Impact Factor
    1.169 1.372 1.528
  • 2014 Impact Factor
    1.529 NA NA
  • 2013 Impact Factor
    1.599 NA NA
  • 2012 Impact Factor
    1.797 NA NA
  • 2011 Impact Factor
    1.472 NA NA
  • 2010 Impact Factor
    1.303 NA NA
  • 2009 Impact Factor
    1.068 NA NA
  • 2008 Impact Factor
    0.981 NA NA
  • 2007 Impact Factor
    0.897 NA NA
  • 2006 Impact Factor
    0.807 NA NA
  • 2005 Impact Factor
    0.737 NA NA
  • 2004 Impact Factor
    0.751 NA NA
  • 2003 Impact Factor
    0.735 NA NA
  • 2002 Impact Factor
    0.477 NA NA
  • 2001 Impact Factor
    0.613 NA NA
  • 2000 Impact Factor
    0.628 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 Optimization Theory and Applications
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

92

Journal of Optimization Theory and Applications
H-Index History