The journal aims to promote and communicate advances in big data research by providing a fast and high quality forum for researchers, practitioners and policy makers from the very many different communities working on, and with, this topic.
The journal will accept papers on foundational aspects in dealing with big data, as well as papers on specific Platforms and Technologies used to deal with big data. To promote Data Science and interdisciplinary collaboration between fields, and to showcase the benefits of data driven research, papers demonstrating applications of big data in domains as diverse as Geoscience, Social Web, Finance, e-Commerce, Health Care, Environment and Climate, Physics and Astronomy, Chemistry, life sciences and drug discovery, digital libraries and scientific publications, security and government will also be considered. Occasionally the journal may publish whitepapers on policies, standards and best practices.
《Big Data Research》期刊已被查看： 次
此期刊被最新的JCR期刊SCIE收录
1区 SCIE Scopus 计算机科学 3区 COMPUTER SCIENCE THEORY & METHODS 计算机：理论方法 ARTIFICIAL INTELLIGENCE 计算机：人工智能 INFORMATION SYSTEMS 计算机：信息系统
| 期刊官网：https://www.journals.elsevier.com/big-data-research |
|---|
| 期刊投稿网址：https://www.editorialmanager.com/BDR |
| PubMed Central (PMC)链接 ：http://www.ncbi.nlm.nih.gov/nlmcatalog?term=2214-5796%5BISSN%5D |
| 通讯地:RADARWEG 29, AMSTERDAM, NETHERLANDS, 1043 NX |
| 中国科学院《国际期刊预警名单（试行）》名单 |
| 2024年02月发布的2024版：不在预警名单中 2023年01月发布的2023版：不在预警名单中 2021年12月发布的2021版：不在预警名单中 2020年12月发布的2020版：不在预警名单中 此期刊被最新的JCR期刊SCIE收录 |
| 版面费 | 审稿速度 | 收录数据库 | 是否oa | 研究方向 |
|---|---|---|---|---|
| SCIE,Scopus | No | Computer Science-Computer Science Applications |
| 大类学科 | 分区 | 小类学科 | Top期刊 | 综述期刊 |
|---|---|---|---|---|
| 计算机科学 | 3区 | COMPUTER SCIENCE THEORY & METHODS 计算机：理论方法 COMPUTER SCIENCE ARTIFICIAL INTELLIGENCE 计算机：人工智能 COMPUTER SCIENCE INFORMATION SYSTEMS 计算机：信息系统 |
否 | 否 |
| 版本 | 按学科 | 分区 | 影响因子 |
|---|---|---|---|
| 2023-2024年最新版 | COMPUTER SCIENCE ARTIFICIAL INTELLIGENCE COMPUTER SCIENCE INFORMATION SYSTEMS COMPUTER SCIENCE THEORY & METHODS |
Q1 | 3.5 |
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