Computational Statistics and Data Analysis
Basic Journal Info
| Country: | Netherlands |
|---|---|
| Journal ISSN: | 01679473 |
| Publisher: | Elsevier BV |
| History: | 1983-ongoing |
| Journal Hompage: | Link |
| Note: | You can find more information about getting published on this journal here: https://ees.elsevier.com/csda/default.asp |
Research Categories
Computer Science,MathematicsImpact Factor Ranking
Computational Statistics and Data Analysis
7922
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 [...]
Computational Statistics and Data Analysis | Journal Impact Factor 2021 Trends
Impact Factor Trend 2000 - 2021
Impact Factor
The impact factor (IF) or journal impact factor (JIF) of an academic journal is a scientometric factor based on the yearly average number of citations on articles published by a particular journal in the last two years. In other words, the impact factor of 2021 is the average of the number of cited publications divided by the citable publications of a journal. A journal impact factor is frequently used as a proxy for the relative importance of a journal within its field. Normally, journals with higher impact factors are often deemed to have more influence than those with lower ones. However, the science community has also noted that review articles typically are more citable than research articles.Here you can check the journal performance trends based on last 20 years of data, also check the latest journal citation reports 2021. Also Check H-Index, SCImago journal rank and journal impact factor 2021.
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Impact Factor History
- 2020/2021 Impact Factor NA
- 2019 Impact Factor 1.323
- 2018 Impact Factor 1.529
- 2017 Impact Factor 1.380
- 2016 Impact Factor 1.799
- 2015 Impact Factor 1.410
- 2014 Impact Factor 1.676
- 2013 Impact Factor 1.412
- 2012 Impact Factor 1.576
- 2011 Impact Factor 1.294
- 2010 Impact Factor 1.466
- 2009 Impact Factor 1.351
- 2008 Impact Factor 1.250
- 2007 Impact Factor 1.312
- 2006 Impact Factor 1.035
- 2005 Impact Factor 0.923
- 2004 Impact Factor 1.075
- 2003 Impact Factor 0.791
- 2002 Impact Factor 0.439
- 2001 Impact Factor 0.413
- 2000 Impact Factor 0.460
Note: impact factor data for reference only
Other Journal Impact Indicator
Any journal impact factor or scientometric indicator alone will not give you the full picture of a science journal. That’s why every year, scholars review current metrics to improve upon them and sometimes come up with new ones. There are also other factors to sider for example, H-Index, Self-Citation Ratio, SJR (SCImago Journal Rank Indicator) and SNIP (Source Normalized Impact per Paper). Researchers may also consider the practical aspect of a journal such as publication fees, acceptance rate, review speed.
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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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Computational Statistics and Data Analysis
SCImago Journal Rank (SJR)
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.
1.25