2021年最新SCI期刊影响因子查询系统
Statistical Methods and Applications 期刊详细信息
基本信息
期刊名称 | Statistical Methods and Applications Statistical Methods and Applications |
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期刊ISSN | 1618-2510 |
期刊官方网站 | http://www.springer.com/statistics/journal/10260 |
是否OA | 否 |
出版商 | Physica-Verlag |
出版周期 | Tri-annual |
始发年份 | 2001 |
年文章数 | 41 |
最新影响因子 | 1.174(2021) |
中科院SCI期刊分区
大类学科 | 小类学科 | Top | 综述 |
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数学4区 | STATISTICS & PROBABILITY 统计学与概率论4区 | 否 | 否 |
CiteScore
CiteScore排名 | CiteScore | SJR | SNIP | ||
---|---|---|---|---|---|
学科 | 排名 | 百分位 | 0.93 | 0.778 | 0.826 |
Decision Sciences Statistics, Probability and Uncertainty |
68 / 122 | 44% |
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Mathematics Statistics and Probability |
105 / 206 | 49% |
补充信息
自引率 | 0.00% |
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H-index | 20 |
SCI收录状况 |
Science Citation Index Expanded |
官方审稿时间 | 38 days Submission to first decision |
网友分享审稿时间 | 数据统计中,敬请期待。 |
PubMed Central (PML) | http://www.ncbi.nlm.nih.gov/nlmcatalog?term=1618-2510%5BISSN%5D |
投稿指南
期刊投稿网址 | https://www.editorialmanager.com/smap/default.aspx |
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收稿范围 | Statistical Methods and Applications has been accepted for Science Citation Index Expanded and will first-time appear in 2009 Journal Citation Reports (JCR), published in June 2010. 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. Officially cited as: Stat Methods Appl |
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