Computational Statistics and Data Analysis
Impact Factor & Key Scientometrics

Computational Statistics and Data Analysis
Overview

Impact Factor

1.681

H Index

132

Impact Factor

1.96

I. Basic Journal Info

Country

Netherlands
Journal ISSN: 1679473
Publisher: Elsevier BV
History: 1983-ongoing
Journal Hompage: Link
How to Get Published:

Research Categories

Scope/Description:

Computational Statistics and Data Analysis (CSDA), an Official Publication of the network Computational and Methodological Statistics (CMStatistics) and of the International Association for Statistical Computing (IASC), is an international journal dedicated to the dissemination of methodological research and applications in the areas of computational statistics and data analysis. The journal consists of four refereed sections which are divided into the following subject areas: I) Computational Statistics - Manuscripts dealing with: 1) the explicit impact of computers on statistical methodology (e.g., Bayesian computing, bioinformatics,computer graphics, computer intensive inferential methods, data exploration, data mining, expert systems, heuristics, knowledge based systems, machine learning, neural networks, numerical and optimization methods, parallel computing, statistical databases, statistical systems), and 2) the development, evaluation and validation of statistical software and algorithms. Software and algorithms can be submitted with manuscripts and will be stored together with the online article. II) Statistical Methodology for Data Analysis - Manuscripts dealing with novel and original data analytical strategies and methodologies applied in biostatistics (design and analytic methods for clinical trials, epidemiological studies, statistical genetics, or genetic/environmental interactions), chemometrics, classification, data exploration, density estimation, design of experiments, environmetrics, education, image analysis, marketing, model free data exploration, pattern recognition, psychometrics, statistical physics, image processing, robust procedures. [...] III) Special Applications - [...] IV) Annals of Statistical Data Science [...]

II. Science Citation Report (SCR)



Computational Statistics and Data Analysis
SCR Impact Factor

Computational Statistics and Data Analysis
SCR Journal Ranking

Computational Statistics and Data Analysis
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.

1.093

Computational Statistics and Data Analysis
Scopus 2-Year Impact Factor Trend

Note: impact factor data for reference only

Computational Statistics and Data Analysis
Scopus 3-Year Impact Factor Trend

Note: impact factor data for reference only

Computational Statistics and Data Analysis
Scopus 4-Year Impact Factor Trend

Note: impact factor data for reference only

Computational Statistics and Data Analysis
Impact Factor History

2-year 3-year 4-year
  • 2023 Impact Factor
    #N/A #N/A #N/A
  • 2022 Impact Factor
    2.177 2.103 2.218
  • 2021 Impact Factor
    1.96 2.052 2.051
  • 2020 Impact Factor
    1.557 1.653 1.719
  • 2019 Impact Factor
    1.296 1.531 1.61
  • 2018 Impact Factor
    1.447 1.537 1.734
  • 2017 Impact Factor
    1.368 1.621 1.751
  • 2016 Impact Factor
    1.798 1.878 1.95
  • 2015 Impact Factor
    1.415 1.522 1.577
  • 2014 Impact Factor
    1.646 NA NA
  • 2013 Impact Factor
    1.39 NA NA
  • 2012 Impact Factor
    1.566 NA NA
  • 2011 Impact Factor
    1.278 NA NA
  • 2010 Impact Factor
    1.42 NA NA
  • 2009 Impact Factor
    1.461 NA NA
  • 2008 Impact Factor
    1.283 NA NA
  • 2007 Impact Factor
    1.324 NA NA
  • 2006 Impact Factor
    1.094 NA NA
  • 2005 Impact Factor
    0.954 NA NA
  • 2004 Impact Factor
    1.073 NA NA
  • 2003 Impact Factor
    0.791 NA NA
  • 2002 Impact Factor
    0.445 NA NA
  • 2001 Impact Factor
    0.419 NA NA
  • 2000 Impact Factor
    0.472 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)

Computational Statistics and Data Analysis
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

132

Computational Statistics and Data Analysis
H-Index History