Analyzing Characteristics of ESI Discipline Distribution in China, U.S. and U.K. with Sub-Disciplines and Text Contents
Zhang Wanshu1,Yao Haitao2,Wang Xuefeng1()
1School of Management and Economics, Beijing Institute of Technology, Beijing 100081, China 2School of Business, Macau University of Science and Technology, Macau 999078, China
[Objective] This paper examines the highly cited papers from ESI, aiming to identify the characteristics of their discipline distributions in China, the United States and the United Kingdom. [Methods] First, we merged the sub-disciplines and text contents based on the general framework of biodiversity. Then, we constructed three indicators of discipline variety, discipline balance and discipline disparity. Finally, we analyzed the changing of indicators over a five-year-period. [Results] There is a gap between China and the United States or the United Kingdom in the diversity of Social Sciences and Biomedical Sciences, in the balance of Engineering, Mathematics, as well as Environment & Ecology, and in the disparity of Computer Sciences, Geosciences, Botanic and Animal Sciences. However, some indicators showed an upward trend. [Limitations] More research is needed to examine the threshold of discipline coverages, as well as the contribution differences due to the order of authors’ nationalities. [Conclusions] Our study finds the differences between China, the United States or the United Kingdom in the distribution of research disciplines, which benefits discipline evaluation and future developments.
张宛姝, 姚海涛, 汪雪锋. 融合细分学科与文本内容的中美英ESI学科布局特征探析[J]. 数据分析与知识发现, 2022, 6(9): 14-26.
Zhang Wanshu, Yao Haitao, Wang Xuefeng. Analyzing Characteristics of ESI Discipline Distribution in China, U.S. and U.K. with Sub-Disciplines and Text Contents. Data Analysis and Knowledge Discovery, 2022, 6(9): 14-26.
( Wang Zidan, Du Peng. The Logical Connotation of Discipline Layout and Chinese Practice[J]. Science & Technology Review, 2021, 39(3): 123-129.)
[2]
Li F, Miao Y J, Ding J. Tracking the Development of Disciplinary Structure in China’s Top Research Universities (1998-2013)[J]. Research Evaluation, 2015, 24(3): 312-324.
doi: 10.1093/reseval/rvv013
( Yi Yong. Scientometrics Comparative Analysis of Scientific Publication Output Between China and Some Major Countries in the World[J]. Forum on Science and Technology in China, 2012(1): 155-160.)
( Gao Xiaoqiang, He Pei, Zhao Xing. Output Scale and Impact of Basic Research in BRICs Based on ESI[J]. Forum on Science and Technology in China, 2010(1): 152-156.)
[5]
李宁. 中国科研产出学科分布的演化与成因[J]. 科研管理, 2019, 40(1): 1-11.
[5]
( Li Ning. Disciplinary Distribution of China’s Research Outputs: Evolutionary Patterns and Contributing Factors[J]. Science Research Management, 2019, 40(1): 1-11.)
[6]
Egghe L, Rousseau R, Rousseau S. TOP-Curves[J]. Journal of the American Society for Information Science and Technology, 2007, 58(6): 777-785.
doi: 10.1002/asi.20539
( Ma Zheng, Yu Zhenglu, Yuan Junpeng, et al. Using Gini Coefficient to Reflect the Inequality Degree of S & T Publications in China and Other Countries[J]. Studies in Science of Science, 2009, 27(3): 350-355.)
[8]
Yang L Y, Yue T, Ding J L, et al. A Comparison of Disciplinary Structure in Science Between the G7 and the BRIC Countries by Bibliometric Methods[J]. Scientometrics, 2012, 93(2): 497-516.
doi: 10.1007/s11192-012-0695-8
[9]
Aksnes D W, Leeuwen T N, Sivertsen G. The Effect of Booming Countries on Changes in the Relative Specialization Index(RSI) on Country Level[J]. Scientometrics, 2014, 101(2): 1391-1401.
doi: 10.1007/s11192-014-1245-3
[10]
Jacsó P. The H-Index for Countries in Web of Science and Scopus[J]. Online Information Review, 2009, 33(4): 831-837.
doi: 10.1108/14684520910985756
[11]
Zhang N, Wan S S, Wang P L, et al. A Bibliometric Analysis of Highly Cited Papers in the Field of Economics and Business Based on the Essential Science Indicators Database[J]. Scientometrics, 2018, 116(2): 1039-1053.
doi: 10.1007/s11192-018-2786-7
[12]
Moreno-Delgado A, Gorraiz J, Repiso R. Assessing the Publication Output on Country Level in the Research Field Communication Using Garfield’s Impact Factor[J]. Scientometrics, 2021, 126(7): 5983-6000.
doi: 10.1007/s11192-021-04006-w
[13]
Nguyen C M, Choung J Y. Scientific Knowledge Production in China: A Comparative Analysis[J]. Scientometrics, 2020, 124(2): 1279-1303.
doi: 10.1007/s11192-020-03507-4
( He Xueyao, Ma Tingcan, Yue Mingliang, et al. Analyzing Highly Cited Papers Sponsored by National Natural Science Foundation of China[J]. Data Analysis and Knowledge Discovery, 2021, 5(2): 61-69.)
( Lv Xiaozan, Wang Hui, Zhou Ping. A Comparative Study of the Interdisciplinarity of Big Data Research in China and the USA[J]. Science Research Management, 2019, 40(4): 1-13.)
[16]
Stirling A. A General Framework for Analysing Diversity in Science, Technology and Society[J]. Journal of the Royal Society, Interface, 2007, 4(15): 707-719.
pmid: 17327202
( Zhang Wanshu, Wang Xuefeng, Yu Xuan. A Research on Evaluation of Disciplines in Universities Based on ESI Data[J]. Science Research Management, 2020, 41(2): 60-72.)
[18]
Leydesdorff L, Rafols I. Indicators of the Interdisciplinarity of Journals: Diversity, Centrality, and Citations[J]. Journal of Informetrics, 2011, 5(1): 87-100.
doi: 10.1016/j.joi.2010.09.002
( Huang Chenghui, Yin Jian, Hou Fang. A Text Similarity Measurement Combining Word Semantic Information with TF-IDF Method[J]. Chinese Journal of Computers, 2011, 34(5): 856-864.)
doi: 10.3724/SP.J.1016.2011.00856
( Wang Chunliu, Yang Yonghui, Deng Fei, et al. A Review of Text Similarity Approaches[J]. Information Science, 2019, 37(3): 158-168.)
[21]
Harzing A W, Giroud A. The Competitive Advantage of Nations: An Application to Academia[J]. Journal of Informetrics, 2014, 8(1): 29-42.
doi: 10.1016/j.joi.2013.10.007
( Wang Xuefeng, Chen Yun, Huang Ying, et al. Research of Highly Cited Papers of China Based on ESI Category Overlay Maps[J]. Journal of Intelligence, 2016, 35(10): 106-113.)