EPJ Data Science
短名 | EPJ Data Sci. |
Journal Impact | 3.14 |
国际分区 | SOCIAL SCIENCES, MATHEMATICAL METHODS(Q1) |
期刊索引 | SCI Q1中科院 2 区 |
ISSN | 2193-1127 |
h-index | 45 |
国内分区 | 计算机科学(2区)计算机科学数学跨学科应用(1区)计算机科学社会科学数理方法(2区) |
EPJ 数据科学涵盖了广泛的研究领域和应用,特别鼓励来自技术-社会-经济系统的贡献,其中包括那些现在将人类的数字“轨迹”视为科学研究的第一级对象的研究路线。主题包括但不限于人类行为、社会互动(包括动物社会)、经济和金融系统、管理和商业网络、社会技术基础设施、健康和环境系统、科学科学以及一般风险和包括政策建议在内的危机情景预测。
期刊主页投稿网址涉及主题 | 计算机科学数学政治学法学物理人工智能经济社会学哲学万维网工程类心理学地理统计操作系统生物量子力学数据科学医学业务语言学历史程序设计语言考古机器学习 |
出版信息 | 出版商: Springer Science + Business Media,出版周期: ,期刊类型: journal |
基本数据 | 创刊年份: 2012,原创研究文献占比: 98.31%,自引率:6.70%, Gold OA占比: 100.00% |
平均审稿周期 | 网友分享经验:13 Weeks |
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