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2021年最新SCI期刊影响因子查询系统

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NETWORKS 期刊详细信息

基本信息
期刊名称 NETWORKS
NETWORKS
期刊ISSN 0028-3045
期刊官方网站 http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1097-0037
是否OA
出版商 Wiley-Liss Inc.
出版周期 Bimonthly
始发年份
年文章数 51
最新影响因子 1.871(2021)
中科院SCI期刊分区
大类学科 小类学科 Top 综述
工程技术4区 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE 计算机:硬件4区
OPERATIONS RESEARCH & MANAGEMENT SCIENCE 运筹学与管理科学4区
CiteScore
CiteScore排名 CiteScore SJR SNIP
学科 排名 百分位 1.40 0.660 1.142
Computer Science
Hardware and Architecture
91 / 152 40%
Computer Science
Computer Networks and Communications
145 / 274 47%
Computer Science
Information Systems
152 / 269 43%
Computer Science
Software
222 / 360 38%
补充信息
自引率 8.40%
H-index 50
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=0028-3045%5BISSN%5D
投稿指南
期刊投稿网址 http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1097-0037/homepage/ForAuthors.html
收稿范围
Network problems are pervasive in our modern technological society, as witnessed by our reliance on physical networks that provide power, communication, and transportation. As well, a number of processes can be modeled using logical networks, as in the scheduling of interdependent tasks, the dating of archaeological artifacts, or the compilation of subroutines comprising a large computer program. Networks provide a common framework for posing and studying problems that often have wider applicability than their originating context.
The goal of this journal is to provide a central forum for the distribution of timely information about network problems, their design and mathematical analysis, as well as efficient algorithms for carrying out optimization on networks. The nonstandard modeling of diverse processes using networks and network concepts is also of interest. Consequently, the disciplines that are useful in studying networks are varied, including applied mathematics, operations research, computer science, discrete mathematics, and economics.
Networks publishes material on the analytic modeling of problems using networks, the mathematical analysis of network problems, the design of computationally efficient network algorithms, and innovative case studies of successful network applications. We do not typically publish works that fall in the realm of pure graph theory (without significant algorithmic and modeling contributions) or papers that deal with engineering aspects of network design. Since the audience for this journal is then necessarily broad, articles that impact multiple application areas or that creatively use new or existing methodologies are especially appropriate. We seek to publish original, well-written research papers that make a substantive contribution to the knowledge base. In addition, tutorial and survey articles are welcomed. All manuscripts are carefully refereed.
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