Random Matrices: Theory and Application
Impact Factor & Key Scientometrics

Random Matrices: Theory and Application
Overview

Impact Factor

1.121

H Index

17

Impact Factor

0.826

I. Basic Journal Info

Country

Singapore
Journal ISSN: 20103263, 20103271
Publisher: World Scientific Publishing Co. Pte Ltd
History: 2017-ongoing
Journal Hompage: Link
How to Get Published:

Research Categories

Random Matrices: Theory and Application
Impact Factor by Web of Science

Index

SCIE/SSCI

Impact Factor

1.121

by WOS

Ranking

10540

by WOS

Random Matrices: Theory and Application
SJR, SJR Impact Factor and H Index

H Index

17

SJR

0.513

Scopus Impact Factor

0.826

Random Matrices: Theory and Application
SJR Impact Factor 2-year, 3-year, 4-year

2-year
Impact Factor

0.826

3-year
Impact Factor

0.797

4-year
Impact Factor

0.826

Scope/Description:

Random Matrix Theory (RMT) has a long and rich history and has, especially in recent years, shown to have important applications in many diverse areas of mathematics, science, and engineering. The scope of RMT and its applications include the areas of classical analysis, probability theory, statistical analysis of big data, as well as connections to graph theory, number theory, representation theory, and many areas of mathematical physics. Applications of Random Matrix Theory continue to present themselves and new applications are welcome in this journal. Some examples are orthogonal polynomial theory, free probability, integrable systems, growth models, wireless communications, signal processing, numerical computing, complex networks, economics, statistical mechanics, and quantum theory. Special issues devoted to single topic of current interest will also be considered and published in this journal.

II. Science Citation Report (SCR)



Random Matrices: Theory and Application
SCR Impact Factor

Random Matrices: Theory and Application
SCR Journal Ranking

Random Matrices: Theory and Application
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.

0.513

Random Matrices: Theory and Application
Scopus 2-Year Impact Factor Trend

Note: impact factor data for reference only

Random Matrices: Theory and Application
Scopus 3-Year Impact Factor Trend

Note: impact factor data for reference only

Random Matrices: Theory and Application
Scopus 4-Year Impact Factor Trend

Note: impact factor data for reference only

Random Matrices: Theory and Application
Impact Factor History

2-year 3-year 4-year
  • 2021 Impact Factor
    0.826 0.797 0.939
  • 2020 Impact Factor
    1.471 0.885 0.853
  • 2019 Impact Factor
    1.088 0.981 1.151
  • 2018 Impact Factor
    0.939 0.909 1.014
  • 2017 Impact Factor
    0.875 1 0.942
  • 2016 Impact Factor
    2.067 1.34 1.924
  • 2015 Impact Factor
    1.522 2.224 2.224
  • 2014 Impact Factor
    2.071 NA NA
  • 2013 Impact Factor
    1.731 NA NA
  • 2012 Impact Factor
    0.000 NA NA
  • 2011 Impact Factor
    NA NA NA
  • 2010 Impact Factor
    NA NA NA
  • 2009 Impact Factor
    NA NA NA
  • 2008 Impact Factor
    NA NA NA
  • 2007 Impact Factor
    NA NA NA
  • 2006 Impact Factor
    NA NA NA
  • 2005 Impact Factor
    NA NA NA
  • 2004 Impact Factor
    NA NA NA
  • 2003 Impact Factor
    NA NA NA
  • 2002 Impact Factor
    NA NA NA
  • 2001 Impact Factor
    NA 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)

Random Matrices: Theory and Application
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

17

Random Matrices: Theory and Application
H-Index History