2021年最新SCI期刊影响因子查询系统
INFORMATION SYSTEMS 期刊详细信息
基本信息
期刊名称 | INFORMATION SYSTEMS INFORMATION SYSTEMS |
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期刊ISSN | 0306-4379 |
期刊官方网站 | http://journals.elsevier.com/03064379/information-systems/ |
是否OA | 否 |
出版商 | Elsevier Ltd |
出版周期 | Bimonthly |
始发年份 | |
年文章数 | 51 |
最新影响因子 | 3.18(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3区 | COMPUTER SCIENCE, INFORMATION SYSTEMS 计算机:信息系统3区 | 否 | 否 |
CiteScore
CiteScore排名 | CiteScore | SJR | SNIP | ||
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学科 | 排名 | 百分位 | 4.23 | 0.779 | 2.444 |
Computer Science Hardware and Architecture |
19 / 152 | 87% |
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Computer Science Information Systems |
40 / 269 | 85% |
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Computer Science Software |
56 / 360 | 84% |
补充信息
自引率 | 4.50% |
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H-index | 76 |
SCI收录状况 |
Science Citation Index
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=0306-4379%5BISSN%5D |
投稿指南
期刊投稿网址 | http://ees.elsevier.com/is |
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收稿范围 | Information systems are the software and hardware systems that support data-intensive applications. The journal Information Systems publishes articles concerning the design and implementation of languages, data models, process models, algorithms, software and hardware for information systems. Subject areas include data management issues as presented in the principal international database conferences (e.g., ACM SIGMOD/PODS, VLDB, ICDE and ICDT/EDBT) as well as data-related issues from the fields of data mining/machine learning, information retrieval coordinated with structured data, internet and cloud data management, business process management, web semantics, visual and audio information systems, scientific computing, and data science. Implementation papers having to do with massively parallel data management, fault tolerance in practice, and special purpose hardware for data-intensive systems are also welcome. Manuscripts from application domains, such as urban informatics, social and natural science, and Internet of Things, are also welcome. All papers should highlight innovative solutions to data management problems such as new data models, performance enhancements, and show how those innovations contribute to the goals of the application. All papers should motivate the problems they address with compelling examples from real or potential applications. Systems papers must be serious about experimentation either on real systems or simulations based on traces from real systems. Papers from industrial organisations are welcome. Theoretical papers should have a clear motivation from applications. They should either break significant new ground or unify and extend existing algorithms. Such papers should clearly state which ideas have potentially wide applicability. Authors of select accepted Information Systems papers are invited by the EiCs to submit the experiment described in their papers for reproducibility validation. The resulting additional reproducibility paper is co-authored by the reproducibility reviewers and the authors of the original publication. In addition to publishing submitted articles, the Editors-in-Chief will invite retrospective articles that describe significant projects by the principal architects of those projects. Authors of such articles should write in the first person, tracing the social as well as technical history of their projects, describing the evolution of ideas, mistakes made, and reality tests. Technical results should be explained in a uniform notation with the emphasis on clarity and on ideas that may have applications outside of the environment of that research. Particularly complex details may be summarised with reference to previously published papers. |
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