Journal of Mathematical Psychology
Impact Factor & Key Scientometrics

Journal of Mathematical Psychology
Overview

Impact Factor

2.223

H Index

73

Impact Factor

1.293

I. Basic Journal Info

Country

United States
Journal ISSN: 00222496, 10960880
Publisher: Elsevier Inc.
History: 1964-ongoing
Journal Hompage: Link
How to Get Published:

Research Categories

Scope/Description:

The Journal of Mathematical Psychology includes articles, monographs and reviews, notes and commentaries, and book reviews in all areas of mathematical psychology. Empirical and theoretical contributions are equally welcome. Areas of special interest include, but are not limited to, fundamental measurement and psychological process models, such as those based upon neural network or information processing concepts. A partial listing of substantive areas covered include sensation and perception, psychophysics, learning and memory, problem solving, judgment and decision-making, and motivation. The Journal of Mathematical Psychology is affiliated with the Society for Mathematical Psychology. Research Areas include: • Models for sensation and perception, learning, memory and thinking • Fundamental measurement and scaling • Decision making • Neural modeling and networks • Psychophysics and signal detection • Neuropsychological theories • Psycholinguistics • Motivational dynamics • Animal behavior • Psychometric theory

II. Science Citation Report (SCR)



Journal of Mathematical Psychology
SCR Impact Factor

Journal of Mathematical Psychology
SCR Journal Ranking

Journal of Mathematical Psychology
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.

1.273

Journal of Mathematical Psychology
Scopus 2-Year Impact Factor Trend

Note: impact factor data for reference only

Journal of Mathematical Psychology
Scopus 3-Year Impact Factor Trend

Note: impact factor data for reference only

Journal of Mathematical Psychology
Scopus 4-Year Impact Factor Trend

Note: impact factor data for reference only

Journal of Mathematical Psychology
Impact Factor History

2-year 3-year 4-year
  • 2022 Impact Factor
    1.959 2.006 2.676
  • 2021 Impact Factor
    1.293 2.091 2.626
  • 2020 Impact Factor
    1.98 2.698 2.779
  • 2019 Impact Factor
    2.858 3.195 3.08
  • 2018 Impact Factor
    2.923 2.848 2.737
  • 2017 Impact Factor
    2.19 2.138 2.094
  • 2016 Impact Factor
    1.424 1.939 3.29
  • 2015 Impact Factor
    1.634 2.955 3.007
  • 2014 Impact Factor
    2.875 NA NA
  • 2013 Impact Factor
    2.158 NA NA
  • 2012 Impact Factor
    2.157 NA NA
  • 2011 Impact Factor
    2.07 NA NA
  • 2010 Impact Factor
    1.833 NA NA
  • 2009 Impact Factor
    1.291 NA NA
  • 2008 Impact Factor
    1.721 NA NA
  • 2007 Impact Factor
    1.257 NA NA
  • 2006 Impact Factor
    0.758 NA NA
  • 2005 Impact Factor
    0.829 NA NA
  • 2004 Impact Factor
    1.041 NA NA
  • 2003 Impact Factor
    0.973 NA NA
  • 2002 Impact Factor
    1.297 NA NA
  • 2001 Impact Factor
    1.22 NA NA
  • 2000 Impact Factor
    1.028 NA NA
Note: impact factor data for reference only

HIGHEST PAID JOBS

LATEX TUTORIALS

MUST-READ BOOKS


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 Mathematical Psychology
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

73

Journal of Mathematical Psychology
H-Index History