2021年最新SCI期刊影响因子查询系统
Swarm Intelligence 期刊详细信息
基本信息
期刊名称 | Swarm Intelligence Swarm Intelligence |
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期刊ISSN | 1935-3812 |
期刊官方网站 | http://link.springer.com/journal/11721 |
是否OA | 否 |
出版商 | Springer New York |
出版周期 | |
始发年份 | |
年文章数 | 15 |
最新影响因子 | 3.727(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, ARTIFICIAL INTELLIGENCE 计算机:人工智能3区 | 否 | 否 |
ROBOTICS 机器人学4区 |
CiteScore
CiteScore排名 | CiteScore | SJR | SNIP | ||
---|---|---|---|---|---|
学科 | 排名 | 百分位 | 3.82 | 0.511 | 2.042 |
Computer Science Artificial Intelligence |
39 / 189 | 79% |
补充信息
自引率 | 13.20% |
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H-index | 24 |
SCI收录状况 |
Science Citation Index Expanded |
官方审稿时间 | Submission to first decision 38 days |
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=1935-3812%5BISSN%5D |
投稿指南
期刊投稿网址 | https://www.editorialmanager.com/swrm/default.aspx |
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收稿范围 | Swarm Intelligence is the principal peer-reviewed publication dedicated to reporting on research and developments in the multidisciplinary field of swarm intelligence. The journal publishes original research articles and occasional review articles on theoretical, experimental and/or practical aspects of swarm intelligence. All articles are published both in print and in electronic form. There are no page charges for publication. Swarm Intelligence is published quarterly. The field of swarm intelligence deals with systems composed of many individuals that coordinate using decentralized control and self-organization. In particular, it focuses on the collective behaviors that result from the local interactions of the individuals with each other and with their environment. It is a fast-growing field that encompasses the efforts of researchers in multiple disciplines, ranging from ethology and social science to operations research and computer engineering. Swarm Intelligence will report on advances in the understanding and utilization of swarm intelligence systems, that is, systems that are based on the principles of swarm intelligence. The following subjects are of particular interest to the journal: • modeling and analysis of collective biological systems such as social insect colonies, flocking vertebrates, and human crowds as well as any other swarm intelligence systems; • application of biological swarm intelligence models to real-world problems such as distributed computing, data clustering, graph partitioning, optimization and decision making; • theoretical and empirical research in ant colony optimization, particle swarm optimization, swarm robotics, and other swarm intelligence algorithms. Articles that combine experimental and theoretical work are especially welcome. Swarm Intelligence is the main journal in the field of Swarm Intelligence. The Editor in Chief, Marco Dorigo is one of the most notable researchers in the field of Swarm Intelligence. Dr. Dorigo pioneered the use of Swarm Intelligence within the operations research and telecommunications fields. Other notable researchers of Swarm Intelligence that serve of the journal’s editorial board are Gerardo Beni (the originator of the term); Luca Maria Gambardella (worked closely with Dr. Dorigo and has made notable contributions to the field) and James Kennedy (best known as an originator and researcher of particle swarm optimization). |
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