Statistical Methods and Applications
Impact Factor & Key Scientometrics

Statistical Methods and Applications
Overview

Impact Factor

1.314

H Index

34

Impact Factor

0.95

I. Basic Journal Info

Country

Germany
Journal ISSN: 1613981X, 16182510
Publisher: Springer Verlag
History: 1996, 2001-2002, 2001-ongoing
Journal Hompage: Link
How to Get Published:
Find out more

Research Categories

Scope/Description:

Statistical Methods and Applications (SMA), the official Journal of the Italian Statistical Society, is an international journal aiming at promoting the development of statistical methodology and its applications in the biological, demographic, economic, health, physical, social and other scientific domains. SMA includes two sections: The first is devoted to statistical methodology and publishes original contributions in all fields of Statistics and, occasionally, critical reviews and discussions on recent developments in statistical theory and methods. The second section of the journal publishes papers devoted to original and/or innovative applications of recent statistical methodology and complex approaches of statistical data analysis. The journal is published four times a year. SMA provides a forum for the presentation of Italian and international research on methods that are of central interest to modern statistics. Discussions on methodological foundations and methods that have broad applications will be welcome and preferred.

II. Science Citation Report (SCR)



Statistical Methods and Applications
SCR Impact Factor

Statistical Methods and Applications
SCR Journal Ranking

Statistical Methods 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.

0.591

Statistical Methods and Applications
Scopus 2-Year Impact Factor Trend

Note: impact factor data for reference only

Statistical Methods and Applications
Scopus 3-Year Impact Factor Trend

Note: impact factor data for reference only

Statistical Methods and Applications
Scopus 4-Year Impact Factor Trend

Note: impact factor data for reference only

Statistical Methods and Applications
Impact Factor History

2-year 3-year 4-year
  • 2023 Impact Factor
    1.272 1.156 1.21
  • 2022 Impact Factor
    1 1.211 1.183
  • 2021 Impact Factor
    0.95 0.984 0.948
  • 2020 Impact Factor
    1.205 1.027 1.055
  • 2019 Impact Factor
    0.845 0.794 0.929
  • 2018 Impact Factor
    0.59 0.78 0.706
  • 2017 Impact Factor
    0.873 0.789 0.797
  • 2016 Impact Factor
    0.58 0.809 0.966
  • 2015 Impact Factor
    0.632 0.778 0.789
  • 2014 Impact Factor
    0.828 NA NA
  • 2013 Impact Factor
    0.672 NA NA
  • 2012 Impact Factor
    0.483 NA NA
  • 2011 Impact Factor
    0.492 NA NA
  • 2010 Impact Factor
    0.525 NA NA
  • 2009 Impact Factor
    0.618 NA NA
  • 2008 Impact Factor
    0.186 NA NA
  • 2007 Impact Factor
    0.263 NA NA
  • 2006 Impact Factor
    0.145 NA NA
  • 2005 Impact Factor
    0.216 NA NA
  • 2004 Impact Factor
    0.233 NA NA
  • 2003 Impact Factor
    0.116 NA NA
  • 2002 Impact Factor
    0.056 NA NA
  • 2001 Impact Factor
    0 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)

Statistical Methods 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

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Statistical Methods and Applications
H-Index History

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