2021年最新SCI期刊影响因子查询系统
DISTRIBUTED AND PARALLEL DATABASES 期刊详细信息
基本信息
期刊名称 | DISTRIBUTED AND PARALLEL DATABASES DISTRIBUTED AND PARALLEL DATABASES |
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期刊ISSN | 0926-8782 |
期刊官方网站 | http://link.springer.com/journal/10619 |
是否OA | 否 |
出版商 | Springer Netherlands |
出版周期 | Bimonthly |
始发年份 | |
年文章数 | 22 |
最新影响因子 | 0.974(2021) |
中科院SCI期刊分区
大类学科 | 小类学科 | Top | 综述 |
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工程技术4区 | COMPUTER SCIENCE, INFORMATION SYSTEMS 计算机:信息系统4区 | 否 | 否 |
COMPUTER SCIENCE, THEORY & METHODS 计算机:理论方法4区 |
CiteScore
CiteScore排名 | CiteScore | SJR | SNIP | ||
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学科 | 排名 | 百分位 | 1.43 | 0.257 | 0.896 |
Decision Sciences Information Systems and Management |
38 / 98 | 61% |
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Computer Science Hardware and Architecture |
90 / 152 | 41% |
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Computer Science Information Systems |
150 / 269 | 44% |
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Computer Science Software |
221 / 360 | 38% |
补充信息
自引率 | 0.00% |
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H-index | 38 |
SCI收录状况 |
Science Citation Index Expanded |
官方审稿时间 | |
网友分享审稿时间 | 数据统计中,敬请期待。 |
PubMed Central (PML) | http://www.ncbi.nlm.nih.gov/nlmcatalog?term=0926-8782%5BISSN%5D |
投稿指南
期刊投稿网址 | http://www.springer.com/journal/10619/submission |
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收稿范围 | Distributed and parallel databases technology has been the subject of intense research and development effort. Numerous practical applications and commercial products that exploit this technology also exist. The maturation of the field, together with the new issues that are raised by the changes in the underlying technology, requires a central focus for work in the area. Distributed and Parallel Databases provides such a focus for the presentation and dissemination of new research results, systems development efforts, and user experiences in distributed and parallel database systems. Distributed and Parallel Databases publishes papers in all the traditional as well as most emerging areas of database research, including: · Availability and reliability · Benchmarking and performance evaluation, and tuning · Big Data Storage and Processing · Cloud Computing and Database-as-a-Service · Crowdsourcing · Data curation, annotation and provenance · Data integration, metadata Management, and interoperability · Data models, semantics, query languages · Data mining and knowledge discovery · Data privacy, security, , trust · Data provenance, workflows, Scientific Data Management · Data visualization and interactive data exploration · Data warehousing, OLAP, Analytics · Graph data management, RDF, social networks · Information Extraction and Data Cleaning · Middleware and Workflow Management · Modern Hardware and In-Memory Database Systems · Query Processing and Optimization · Semantic Web and open data · Social Networks · Storage, indexing, and physical database design · Streams, sensor networks, and complex event processing · Strings, Texts, and Keyword Search · Spatial, temporal, and spatio-temporal databases · Transaction processing · Uncertain, probabilistic, and approximate databases |
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