| 期刊全称 | International Journal of Data Science and Analytics | |||||||||||||||||||||||||||||||||||||||
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| 温馨提示 | （此期刊未被最新的JCR期刊引证报告收录） | |||||||||||||||||||||||||||||||||||||||
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涉及主题
（科研通AI识别） |
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| 期刊介绍 | Data Science has been established as an important emergent scientific field and paradigm driving research evolution in such disciplines as statistics, computing science and intelligence science, and practical transformation in such domains as science, engineering, the public sector, business, social science, and lifestyle. The field encompasses the larger areas of artificial intelligence, data analytics, machine learning, pattern recognition, natural language understanding, and big data manipulation. It also tackles related new scientific challenges, ranging from data capture, creation, storage, retrieval, sharing, analysis, optimization, and visualization, to integrative analysis across heterogeneous and interdependent complex resources for better decision-making, collaboration, and, ultimately, value creation.The International Journal of Data Science and Analytics (JDSA) brings together thought leaders, researchers, industry practitioners, and potential users of data science and analytics, to develop the field, discuss new trends and opportunities, exchange ideas and practices, and promote transdisciplinary and cross-domain collaborations. The journal is composed of three streams: Regular, to communicate original and reproducible theoretical and experimental findings on data science and analytics; Applications, to report the significant data science applications to real-life situations; and Trends, to report expert opinion and comprehensive surveys and reviews of relevant areas and topics in data science and analytics.Topics of relevance include all aspects of the trends, scientific foundations, techniques, and applications of data science and analytics, with a primary focus on:statistical and mathematical foundations for data science and analytics;understanding and analytics of complex data, human, domain, network, organizational, social, behavior, and system characteristics, complexities and intelligences;creation and extraction, processing, representation and modelling, learning and discovery, fusion and integration, presentation and visualization of complex data, behavior, knowledge and intelligence;data analytics, pattern recognition, knowledge discovery, machine learning, deep analytics and deep learning, and intelligent processing of various data (including transaction, text, image, video, graph and network), behaviors and systems;active, real-time, personalized, actionable and automated analytics, learning, computation, optimization, presentation and recommendation; big data architecture, infrastructure, computing, matching, indexing, query processing, mapping, search, retrieval, interoperability, exchange, and recommendation;in-memory, distributed, parallel, scalable and high-performance computing, analytics and optimization for big data;review, surveys, trends, prospects and opportunities of data science research, innovation and applications;data science applications, intelligent devices and services in scientific, business, governmental, cultural, behavioral, social and economic, health and medical, human, natural and artificial (including online/Web, cloud, IoT, mobile and social media) domains; andethics, quality, privacy, safety and security, trust, and risk of data science and analytics | |||||||||||||||||||||||||||||||||||||||
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| 期刊ISSN | print: 2364-415Xon-line: 2364-4168 | |||||||||||||||||||||||||||||||||||||||
| 2023最新影响因子 (2024年6月20日公布) 与上一年的差值 |
3.4↑ 1 | |||||||||||||||||||||||||||||||||||||||
| 历年影响因子 |
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| 历年发表/被引量 （科研通AI通过大数据分析） 最后更新日期：2025-04-23 |
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| h-index（2021） | 暂无h-index数据 | |||||||||||||||||||||||||||||||||||||||
| 自引率 | 8.80% | |||||||||||||||||||||||||||||||||||||||
| 涉及的研究领域 | Multiple- | |||||||||||||||||||||||||||||||||||||||
| 中科院2025年分区 （2025年3月20日发布） |
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| WOS期刊分区 （2024年6月20日公布） |
JCR学科分类
JCI学科分类
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| 中科院SCI期刊分区 （2023年12月升级版） |
暂无 | |||||||||||||||||||||||||||||||||||||||
| 中科院SCI期刊分区 （2022年12月升级版） |
暂无 | |||||||||||||||||||||||||||||||||||||||
| 中科院SCI期刊分区 （2021年12月基础版） |
暂无 | |||||||||||||||||||||||||||||||||||||||
| 中科院SCI期刊分区 （2021年12月升级版） |
暂无 | |||||||||||||||||||||||||||||||||||||||
| 中科院《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 2021年01月发布的2020版：不在预警名单中 |
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| 期刊主页 |
（系统检测到多个链接，仅供参考，如有错误，请通过页面底部反馈） |
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| 投稿网址 | https://www.editorialmanager.com/jdsa/ | |||||||||||||||||||||||||||||||||||||||
| 编辑部地址 | ||||||||||||||||||||||||||||||||||||||||
| 出版商 | Springer Nature | |||||||||||||||||||||||||||||||||||||||
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| 出版周期 | 8 issues per year | |||||||||||||||||||||||||||||||||||||||
| 每年出版文章数 | 60 | |||||||||||||||||||||||||||||||||||||||
| Gold OA文章占比 | 32.22% | |||||||||||||||||||||||||||||||||||||||
| 原创研究文献占比 （排除综述） |
87.34% | |||||||||||||||||||||||||||||||||||||||
| SCI收录类型 |
Emerging Sources Citation Index (ESCI) Scopus (CiteScore) |
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| PubMed链接 | http://www.ncbi.nlm.nih.gov/nlmcatalog?term=2364-415X%5BISSN%5D | |||||||||||||||||||||||||||||||||||||||
| 平均审稿周期 | 网友分享经验： |
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| 平均录用比例 | 网友分享经验： |
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| 相关链接 |
LetPub
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