国际简称:JPN J STAT DATA SCI 参考译名:日本统计与数据科学杂志
主要研究方向:STATISTICS & PROBABILITY 非预警期刊 审稿周期:
《日本统计与数据科学杂志》(Japanese Journal Of Statistics And Data Science)是一本由Springer Nature出版的以STATISTICS & PROBABILITY为研究特色的国际期刊,发表该领域相关的原创研究文章、评论文章和综述文章,及时报道该领域相关理论、实践和应用学科的最新发现,旨在促进该学科领域科学信息的快速交流。该期刊是一本未开放期刊,近三年没有被列入预警名单。
The Japanese Journal of Statistics and Data Science is an international academic journal dedicated to the fields of statistics and data science. This journal aims to publish original research articles in statistical methodology, data analysis, machine learning, biostatistics, computational statistics, and other fields. It provides a platform for statisticians, data scientists, researchers, and students to exchange the latest research findings and methodologies. By publishing high-quality research, we aim to promote the theoretical development and applied research in the fields of statistics and data science.
The academic influence of this journal is reflected in the fact that its published research can make positive contributions to the fields of statistics and data science. The target audience includes statisticians, data scientists, economists, biologists, engineers, and other professionals who use statistical methods for research. In addition, the journal also attracts scholars and students interested in education and training in statistics and data science.
| CiteScore | SJR | SNIP | CiteScore 指数 | ||||||||||||
| 2 | 0.336 | 1.29 |
|
名词解释:CiteScore 是衡量期刊所发表文献的平均受引用次数,是在 Scopus 中衡量期刊影响力的另一个指标。当年CiteScore 的计算依据是期刊最近4年(含计算年度)的被引次数除以该期刊近四年发表的文献数。例如,2022年的 CiteScore 计算方法为:2022年的 CiteScore =2019-2022年收到的对2019-2022年发表的文件的引用数量÷2019-2022年发布的文献数量 注:文献类型包括:文章、评论、会议论文、书籍章节和数据论文。
| 按JIF指标学科分区 | 收录子集 | 分区 | 排名 | 百分位 |
| 学科:STATISTICS & PROBABILITY | ESCI | Q3 | 85 / 168 |
49.7% |
| 按JCI指标学科分区 | 收录子集 | 分区 | 排名 | 百分位 |
| 学科:STATISTICS & PROBABILITY | ESCI | Q2 | 58 / 168 |
65.77% |