Journal of Modern Applied Statistical Methods
Impact Factor & Key Scientometrics

Journal of Modern Applied Statistical Methods
Overview

Impact Factor

NA

H Index

40

Impact Factor

0.337

I. Basic Journal Info

Country

United States
Journal ISSN: 15389472
Publisher: Wayne State University
History: 2002-2021
Journal Hompage: Link
How to Get Published:
Find out more

Research Categories

Scope/Description:

The Journal of Modern Applied Statistical Methods is an independent peerreviewed open access journal designed to provide an outlet for the scholarly works of applied nonparametric or parametric statisticians data analysts researchers classical or modern psychometricians and quantitative or qualitative methodologistsevaluators.Work appearing in Regular Articles Brief Reports and Emerging Scholars are externally peer reviewed with input from the Editorial Board in Statistical Software Applications and Review and JMASM Algorithms and Code are internally reviewed by the Editorial Board.Three areas are appropriate for JMASMDevelopment or study of new statistical tests or procedures or the comparison of existing statistical tests or procedures using computerintensive Monte Carlo bootstrap jackknife or resampling methodsDevelopment or study of nonparametric robust permutation exact and approximate randomization methodsApplications of computer programming preferably in Fortran all other programming environments are welcome related to statistical algorithms pseudorandom number generators simulation techniques and selfcontained executable code to carry out new or interesting statistical methods.

II. Science Citation Report (SCR)



Journal of Modern Applied Statistical Methods
SCR Impact Factor

Journal of Modern Applied Statistical Methods
SCR Journal Ranking

Journal of Modern Applied Statistical Methods
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.

Journal of Modern Applied Statistical Methods
Scopus 2-Year Impact Factor Trend

Note: impact factor data for reference only

Journal of Modern Applied Statistical Methods
Scopus 3-Year Impact Factor Trend

Note: impact factor data for reference only

Journal of Modern Applied Statistical Methods
Scopus 4-Year Impact Factor Trend

Note: impact factor data for reference only

Journal of Modern Applied Statistical Methods
Impact Factor History

2-year 3-year 4-year
  • 2023 Impact Factor
    0.75 0.625 0.736
  • 2022 Impact Factor
    0.469 0.828 0.943
  • 2021 Impact Factor
    0.337 0.559 0.723
  • 2020 Impact Factor
    0.213 0.573 0.687
  • 2019 Impact Factor
    0.523 0.633 0.833
  • 2018 Impact Factor
    0.393 0.559 0.688
  • 2017 Impact Factor
    0.343 0.415 0.492
  • 2016 Impact Factor
    0.313 0.435 0.507
  • 2015 Impact Factor
    0.25 0.246 0.232
  • 2014 Impact Factor
    0.208 NA NA
  • 2013 Impact Factor
    0.103 NA NA
  • 2012 Impact Factor
    0.089 NA NA
  • 2011 Impact Factor
    0.033 NA NA
  • 2010 Impact Factor
    0.042 NA NA
  • 2009 Impact Factor
    0.229 NA NA
  • 2008 Impact Factor
    0.113 NA NA
  • 2007 Impact Factor
    0.183 NA NA
  • 2006 Impact Factor
    0.113 NA NA
  • 2005 Impact Factor
    0.231 NA NA
  • 2004 Impact Factor
    0.255 NA NA
  • 2003 Impact Factor
    0.436 NA NA
  • 2002 Impact Factor
    0 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)

Journal of Modern Applied Statistical Methods
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

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Journal of Modern Applied Statistical Methods
H-Index History

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