2021年最新SCI期刊影响因子查询系统
APPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY 期刊详细信息
基本信息
期刊名称 | APPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY APPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY |
---|---|
期刊ISSN | 1524-1904 |
期刊官方网站 | http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1526-4025 |
是否OA | 否 |
出版商 | John Wiley and Sons Ltd |
出版周期 | Quarterly |
始发年份 | |
年文章数 | 68 |
最新影响因子 | 1.497(2021) |
中科院SCI期刊分区
大类学科 | 小类学科 | Top | 综述 |
---|---|---|---|
数学3区 | MATHEMATICS, INTERDISCIPLINARY APPLICATIONS 数学跨学科应用4区 | 否 | 否 |
OPERATIONS RESEARCH & MANAGEMENT SCIENCE 运筹学与管理科学4区 | |||
STATISTICS & PROBABILITY 统计学与概率论3区 |
CiteScore
CiteScore排名 | CiteScore | SJR | SNIP | ||
---|---|---|---|---|---|
学科 | 排名 | 百分位 | 1.46 | 1.019 | 0.847 |
Business, Management and Accounting General Business, Management and Accounting |
63 / 196 | 68% |
|||
Decision Sciences Management Science and Operations Research |
72 / 148 | 51% |
|||
Mathematics Modelling and Simulation |
120 / 259 | 53% |
补充信息
自引率 | 6.00% |
---|---|
H-index | 27 |
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=1524-1904%5BISSN%5D |
投稿指南
期刊投稿网址 | https://mc.manuscriptcentral.com/asmb |
---|---|
收稿范围 | Aims and Scope ASMBI - Applied Stochastic Models in Business and Industry (formerly Applied Stochastic Models and Data Analysis) was first published in 1985, publishing contributions in the interface between stochastic modelling, data analysis and their applications in business, finance, insurance, management and production. In 2007 ASMBI became the official journal of the International Society for Business and Industrial Statistics (www.isbis.org). The main objective is to publish papers, both technical and practical, presenting new results which solve real-life problems or have great potential in doing so. Mathematical rigour, innovative stochastic modelling and sound applications are the key ingredients of papers to be published, after a very selective review process. The journal is very open to new ideas, like Data Science and Big Data stemming from problems in business and industry or uncertainty quantification in engineering, as well as more traditional ones, like reliability, quality control, design of experiments, managerial processes, supply chains and inventories, insurance, econometrics, financial modelling (provided the papers are related to real problems). The journal is interested also in papers addressing the effects of business and industrial decisions on the environment, healthcare, social life. State-of-the art computational methods are very welcome as well, when combined with sound applications and innovative models. |
收录体裁 | |
投稿指南 | |
投稿模板 | |
参考文献格式 | |
编辑信息 |