*恭喜浙江省农业科学院俞老师在SCI期刊 Environmental Science and Pollution Research(IF:2.914)上成功发表
*恭喜西安理工大学张老师,环境水利专业,文章成功发表在SCI期刊Environmental Science and Pollution Research上,IF2.914
*恭喜山东交通学院谢老师在SCI期刊APPLIED SURFACE SCIENCE(IF5.15)上成功发表
*恭喜华中科技大学黄老师在SCI期刊 ACS Applied Materials & Interfaces(IF8.456)上成功发表
*恭喜中南大学湘雅医院黄医生在Frontiers in Oncology(IF 4.137)上成功发表
*恭喜复旦大学辛博士在SCI期刊 FEBS LETTERS(IF2.675)上成功发表
*恭喜中南大学陈博士在THIN-WALLED STRUCTURESSCI期刊(IF3.488)上成功发表
*恭喜湖南工学院郭老师在SCI期刊SIMULATION MODELLING PRACTICE AND THEORY(IF2.42)上成功发表
*恭喜东华大学闫老师在SCI期刊Advanced Functional Materials(IF 15.621)上成功发表
*恭喜安徽医科大学肖老师在SCI期刊BMC CELL BIOLOGY(IF 3.485)上成功发表
*恭喜四川大学华西医院谢医生在SCI期刊European Heart Journal: Acute Cardiovascular Care(IF 3.734)上成功发表

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2021年最新SCI期刊影响因子查询系统

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Future Generation Computer Systems-The International Journal of eScience 期刊详细信息

基本信息
期刊名称 Future Generation Computer Systems-The International Journal of eScience
Future Generation Computer Systems-The International Journal of eScience
期刊ISSN 0167-739X
期刊官方网站 http://www.journals.elsevier.com/future-generation-computer-systems/
是否OA
出版商 Elsevier
出版周期 Bimonthly
始发年份 1984
年文章数 747
最新影响因子 7.307(2021)
中科院SCI期刊分区
大类学科 小类学科 Top 综述
工程技术2区 COMPUTER SCIENCE, THEORY & METHODS 计算机:理论方法1区
CiteScore
CiteScore排名 CiteScore SJR SNIP
学科 排名 百分位 6.30 0.835 2.464
Computer Science
Hardware and Architecture
7 / 152 95%
Computer Science
Computer Networks and Communications
16 / 274 94%
Computer Science
Software
23 / 360 93%
补充信息
自引率 18.10%
H-index 80
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=0167-739X%5BISSN%5D
投稿指南
期刊投稿网址 http://ees.elsevier.com/fgcs/default.asp?acw=8
收稿范围
Computing infrastructures and systems are rapidly developing and so are novel ways to map, control and execute scientific applications which become more and more complex and collaborative.
Computational and storage capabilities, databases, sensors, and people need true collaborative tools. Over the last years there has been a real explosion of new theory and technological progress supporting a better understanding of these wide-area, fully distributed sensing and computing systems. Big Data in all its guises require novel methods and infrastructures to register, analyze and distill meaning.

FGCS aims to lead the way in advances in distributed systems, collaborative environments, high performance and high performance computing, Big Data on such infrastructures as grids, clouds and the Internet of Things (IoT).

The Aims and Scope of FGCS cover new developments in:

[1] Applications and application support:
Novel applications for novel e-infrastructures
Complex workflow applications
Big Data registration, processing and analyses
Problem solving environments and virtual laboratories
Semantic and knowledge based systems
Collaborative infrastructures and virtual organizations
Methods for high performance and high throughput computing
Urgent computing
Scientific, industrial, social and educational implications
Education


[2] Methods and tools:
Tools for infrastructure development and monitoring
Distributed dynamic resource management and scheduling
Information management
Protocols and emerging standards
Methods and tools for internet computing
Security aspects


[3] Theory:
Process specification;
Program and algorithm design
Theoretical aspects of large scale communication and computation
Scaling and performance theory
Protocols and their verification
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