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Journal Of The Operations Research Society Of China

Journal Of The Operations Research Society Of ChinaSCIE

国际简称:J OPER RES SOC CHINA  参考译名:中国运筹学学报

  • 中科院分区

    4区

  • CiteScore分区

    Q1

  • JCR分区

    Q4

基本信息:
ISSN:2194-668X
E-ISSN:2194-6698
是否OA:未开放
是否预警:否
TOP期刊:否
出版信息:
出版地区:PEOPLES R CHINA
出版商:Springer Nature
出版语言:English
出版周期:4 issues per year
研究方向:OPERATIONS RESEARCH & MANAGEMENT SCIENCE
评价信息:
影响因子:0.9
CiteScore指数:3.3
SJR指数:0.554
SNIP指数:1.035
发文数据:
Gold OA文章占比:4.37%
研究类文章占比:97.18%
年发文量:71
自引率:0
开源占比:0.0466
出版撤稿占比:
出版国人文章占比:0.6
OA被引用占比:0.1551...
英文简介 期刊介绍 CiteScore数据 中科院SCI分区 JCR分区 发文数据 常见问题

英文简介Journal Of The Operations Research Society Of China期刊介绍

Journal Of The Operations Research Society Of China is the official academic journal of Operations Research Society of China, dedicated to promoting the research and development of operations research and its applications. As the flagship journal of the society, it not only showcases China's latest research results in the field of operations research, but also provides an important academic exchange platform for scholars and practitioners in the field of operations research around the world.

The main objective of the journal is to promote the research and application of all aspects of operations research, including but not limited to optimization theory, algorithm design, decision analysis, systems modeling, statistical analysis, etc. It pays special attention to the application of operations research to practical problems, such as industrial engineering, logistics management, supply chain optimization, financial engineering, risk management, etc., reflecting the new problems and challenges brought about by China's rapid social and economic development. By publishing high-quality original research papers, review articles, case studies and technical reports, the journal provides an opportunity for practitioners, academics and researchers in operations research and related fields to present and exchange research findings. These research results not only help to promote the theoretical development of operations research, but also provide a new perspective and method for solving practical problems.

期刊简介Journal Of The Operations Research Society Of China期刊介绍

《Journal Of The Operations Research Society Of China》是一本数学优秀杂志。致力于发表原创科学研究结果,并为数学各个领域的原创研究提供一个展示平台,以促进数学领域的的进步。该刊鼓励先进的、清晰的阐述,从广泛的视角提供当前感兴趣的研究主题的新见解,或审查多年来某个重要领域的所有重要发展。该期刊特色在于及时报道数学领域的最新进展和新发现新突破等。该刊近一年未被列入预警期刊名单,目前已被权威数据库SCIE收录,得到了广泛的认可。

该期刊投稿重要关注点:

Cite Score数据(2024年最新版)Journal Of The Operations Research Society Of China Cite Score数据

  • CiteScore:3.3
  • SJR:0.554
  • SNIP:1.035
学科类别 分区 排名 百分位
大类:Mathematics 小类:General Mathematics Q1 53 / 399

86%

大类:Mathematics 小类:Applied Mathematics Q2 194 / 635

69%

大类:Mathematics 小类:Management Science and Operations Research Q2 104 / 207

50%

CiteScore 是由Elsevier(爱思唯尔)推出的另一种评价期刊影响力的文献计量指标。反映出一家期刊近期发表论文的年篇均引用次数。CiteScore以Scopus数据库中收集的引文为基础,针对的是前四年发表的论文的引文。CiteScore的意义在于,它可以为学术界提供一种新的、更全面、更客观地评价期刊影响力的方法,而不仅仅是通过影响因子(IF)这一单一指标来评价。

历年Cite Score趋势图

中科院SCI分区Journal Of The Operations Research Society Of China 中科院分区

中科院 2023年12月升级版 综述期刊:否 Top期刊:否
大类学科 分区 小类学科 分区
数学 4区 OPERATIONS RESEARCH & MANAGEMENT SCIENCE 运筹学与管理科学 4区

中科院分区表 是以客观数据为基础,运用科学计量学方法对国际、国内学术期刊依据影响力进行等级划分的期刊评价标准。它为我国科研、教育机构的管理人员、科研工作者提供了一份评价国际学术期刊影响力的参考数据,得到了全国各地高校、科研机构的广泛认可。

中科院分区表 将所有期刊按照一定指标划分为1区、2区、3区、4区四个层次,类似于“优、良、及格”等。最开始,这个分区只是为了方便图书管理及图书情报领域的研究和期刊评估。之后中科院分区逐步发展成为了一种评价学术期刊质量的重要工具。

历年中科院分区趋势图

JCR分区Journal Of The Operations Research Society Of China JCR分区

2023-2024 年最新版
按JIF指标学科分区 收录子集 分区 排名 百分位
学科:OPERATIONS RESEARCH & MANAGEMENT SCIENCE ESCI Q4 94 / 106

11.8%

按JCI指标学科分区 收录子集 分区 排名 百分位
学科:OPERATIONS RESEARCH & MANAGEMENT SCIENCE ESCI Q4 94 / 106

11.79%

JCR分区的优势在于它可以帮助读者对学术文献质量进行评估。不同学科的文章引用量可能存在较大的差异,此时单独依靠影响因子(IF)评价期刊的质量可能是存在一定问题的。因此,JCR将期刊按照学科门类和影响因子分为不同的分区,这样读者可以根据自己的研究领域和需求选择合适的期刊。

历年影响因子趋势图

发文数据

2023-2024 年国家/地区发文量统计
  • 国家/地区数量
  • CHINA MAINLAND98
  • USA16
  • Japan8
  • India7
  • Canada5
  • Iran5
  • Australia2
  • Brazil2
  • England2
  • Russia2

本刊中国学者近年发表论文

  • 1、A Framework of Convergence Analysis of Mini-batch Stochastic Projected Gradient Methods

    Author: Gu, Jian; Xiao, Xian-Tao

    Journal: JOURNAL OF THE OPERATIONS RESEARCH SOCIETY OF CHINA. 2023; Vol. 11, Issue 2, pp. 347-369. DOI: 10.1007/s40305-019-00276-7

  • 2、Randomized Algorithms for Orthogonal Nonnegative Matrix Factorization

    Author: Chen, Yong-Yong; Xu, Fang-Fang

    Journal: JOURNAL OF THE OPERATIONS RESEARCH SOCIETY OF CHINA. 2023; Vol. 11, Issue 2, pp. 327-345. DOI: 10.1007/s40305-020-00322-9

  • 3、A K-Means Clustering-Based Multiple Importance Sampling Algorithm for Integral Global Optimization

    Author: Wang, Chen; Wu, Dong-Hua

    Journal: JOURNAL OF THE OPERATIONS RESEARCH SOCIETY OF CHINA. 2023; Vol. 11, Issue 1, pp. 157-175. DOI: 10.1007/s40305-021-00353-w

  • 4、Lower Bounds of Distance Laplacian Spectral Radii of n-Vertex Graphs in Terms of Fractional Matching Number

    Author: Yan, Jin; Liu, Yan; Su, Xue-Li

    Journal: JOURNAL OF THE OPERATIONS RESEARCH SOCIETY OF CHINA. 2023; Vol. 11, Issue 1, pp. 189-196. DOI: 10.1007/s40305-021-00358-5

  • 5、Toughness for Fractional (2, b, k)-Critical Covered Graphs

    Author: Wang, Su-Fang; Zhang, Wei

    Journal: JOURNAL OF THE OPERATIONS RESEARCH SOCIETY OF CHINA. 2023; Vol. 11, Issue 1, pp. 197-205. DOI: 10.1007/s40305-021-00359-4

  • 6、An Approximation Algorithm for P-prize-collecting Set Cover Problem

    Author: Guo, Jin-Shuang; Liu, Wen; Hou, Bo

    Journal: JOURNAL OF THE OPERATIONS RESEARCH SOCIETY OF CHINA. 2023; Vol. 11, Issue 1, pp. 207-217. DOI: 10.1007/s40305-021-00364-7

  • 7、A Gradient Descent Method for Estimating the Markov Chain Choice Model

    Author: Fu, Lei; Ge, Dong-Dong

    Journal: JOURNAL OF THE OPERATIONS RESEARCH SOCIETY OF CHINA. 2023; Vol. 11, Issue 2, pp. 371-381. DOI: 10.1007/s40305-021-00365-6

  • 8、Optimal Consumption, Leisure and Job Choice under Inflationary Environment

    Author: Zhang, Yu-Song; Fei, Chen; Pan, Hai-Feng; Huang, Jian

    Journal: JOURNAL OF THE OPERATIONS RESEARCH SOCIETY OF CHINA. 2023; Vol. 11, Issue 1, pp. 83-107. DOI: 10.1007/s40305-021-00369-2

投稿常见问题