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》是一本由ELSEVIER出版商出版的专业工程技术期刊,该刊创刊于2014年,刊期4 issues/year,该刊已被国际权威数据库SCIE收录。在中科院最新升级版分区表中,该刊分区信息为大类学科:计算机科学 3区,小类学科:计算机:理论方法 3区;计算机:人工智能 4区;计算机:信息系统 4区;在JCR(Journal Citation Reports)分区等级为Q2。该刊发文范围涵盖计算机:人工智能等领域,旨在及时、准确、全面地报道国内外计算机:人工智能工作者在该领域取得的最新研究成果、工作进展及学术动态、技术革新等,促进学术交流,鼓励学术创新。2021年影响因子为3.739,
大类学科 | 分区 | 小类学科 | 分区 | Top期刊 | 综述期刊 |
计算机科学 | 3区 | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机:人工智能 COMPUTER SCIENCE, INFORMATION SYSTEMS 计算机:信息系统 COMPUTER SCIENCE, THEORY & METHODS 计算机:理论方法 | 3区 3区 3区 | 否 | 否 |
JCR分区等级 | JCR所属学科 | 分区 | 影响因子 |
Q2 | COMPUTER SCIENCE, INFORMATION SYSTEMS | Q2 | 3.739 |
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Q2 | ||
COMPUTER SCIENCE, THEORY & METHODS | Q2 |
影响因子 | h-index | Gold OA文章占比 | 研究类文章占比 | OA开放访问 | 平均审稿速度 |
3.739 | -- | 12.71% | 100.00% | 未开放 | -- |