Bibliometric analysis for highly cited papers in operations research and management science from 2008 to 2017 based on Essential Science Indicators

被引:85
|
作者
Liao, Huchang [1 ,2 ]
Tang, Ming [1 ]
Li, Zongmin [1 ]
Lev, Benjamin [3 ]
机构
[1] Sichuan Univ, Business Sch, Chengdu 610064, Sichuan, Peoples R China
[2] King Abdulaziz Univ, Fac Comp & Informat Technol, Jeddah, Saudi Arabia
[3] Drexel Univ, LeBow Coll Business, Decis Sci Dept, Philadelphia, PA 19104 USA
来源
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE | 2019年 / 88卷
基金
中国国家自然科学基金;
关键词
Operations research; Management science; Essential Science Indicators; Bibliometric; Highly cited papers; DATA ENVELOPMENT ANALYSIS; SUPPLY CHAIN MANAGEMENT; IMPACT FACTOR; JOURNALS; COLLABORATION; DECISION; CHINA; MODEL; INDEX;
D O I
10.1016/j.omega.2018.11.005
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
The Essential Science Indicators (ESI) database is widely used to assess scientific outputs. The ESI database contains papers that entered the top 1% of sum citations in one discipline in the past ten years. Therefore, highly cited papers included in ESI database are of high quality in each field. This paper provides a bibliometric overview on the papers included in the ESI database in the field of operations research & management science. During the years of 2008-2017, there are 646 ESI highly cited papers in this area. Based on these 646 papers, we identify the most influential actors including journals, counties/regions, and institutes. The co-authorship relations among countries, institutes and authors characterize the collaboration status in the field of operations research and management science. The most cited papers are then presented. Finally, author keywords, keywords plus and words in title are analyzed, with hot research topics and future directions being provided. (C) 2018 Elsevier Ltd. All rights reserved.
引用
收藏
页码:223 / 236
页数:14
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