A bibliometric analysis of Iranian Journal of Fuzzy Systems (2007-2020)

IF 1.9 4区数学 Q1 MATHEMATICS

Iranian Journal of Fuzzy Systems Pub Date : 2021-10-01 DOI:10.22111/IJFS.2021.6252

Tao Lei, Y. Qin, Zeshui Xu, R. Borzooei

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引用次数: 2

Abstract

Iranian Journal of Fuzzy Systems (IJFS) is an international journal, based on the WoS core collection, this paper uses bibliometric methods and tools (VOSviewer and Bibliometrix) to analyze the publications of IJFS from 2007 to 2020. A total of 716 publications are analyzed. Firstly, according to the basic information of the publications, including the type of publications, the number of publications, the number of citations, the average number of citations and the h-index, we conduct a general statistical analysis to explore the basic characteristics and internal structure of the publications. Afterwards, by studying the citation structure of publications, this paper analyzes which groups and fields the journal is more concerned about. For the journal itself, we combine the number of citations and the number of publications to identify the most popular publications, the most productive and influential authors/institutes/countries/regions. In the collaboration network analysis, we map the collaboration network of countries/regions, institutes and authors to explore the different levels of collaboration. The co-citation network of the journal is studied to explore the relationship between IJFS and other international academic journals. In the analysis of keywords, we discuss the development trend and hot topics of keywords over time through co-occurrence analysis, word growth graph and thematic evolution analysis. Finally, based on the above analysis, we discuss the problems and challenges that the journal may face, and some main conclusions are drawn. This study has certain reference value for the further development of the related researchers�� scientific research and the journal.

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伊朗Journal of Fuzzy Systems(2007-2020)的文献计量学分析

伊朗模糊系统期刊(IJFS)是一份国际性期刊，本文以WoS核心馆藏为基础，采用文献计量学方法和工具(VOSviewer和Bibliometrix)对IJFS 2007 - 2020年的出版物进行分析。共分析了716份出版物。首先，根据出版物的基本信息，包括出版物类型、出版物数量、被引次数、平均被引次数和h指数，进行总体统计分析，探讨出版物的基本特征和内部结构。然后，通过对出版物引文结构的研究，分析该期刊更关注哪些群体和领域。对于期刊本身，我们结合引用次数和发表次数来确定最受欢迎的出版物，最具生产力和影响力的作者/机构/国家/地区。在合作网络分析中，我们绘制了国家/地区、研究所和作者的合作网络，以探索不同层次的合作。通过对期刊共被引网络的研究，探讨IJFS与其他国际学术期刊的关系。在关键词分析中，我们通过共现分析、词语增长图和主题演变分析来讨论关键词在一段时间内的发展趋势和热点话题。最后，在上述分析的基础上，讨论了期刊可能面临的问题和挑战，并得出了一些主要结论。本研究对相关研究者的科学研究和期刊的进一步发展具有一定的参考价值。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Iranian Journal of Fuzzy Systems 数学-数学

CiteScore

3.50

自引率

16.70%

发文量

期刊介绍： The two-monthly Iranian Journal of Fuzzy Systems (IJFS) aims to provide an international forum for refereed original research works in the theory and applications of fuzzy sets and systems in the areas of foundations, pure mathematics, artificial intelligence, control, robotics, data analysis, data mining, decision making, finance and management, information systems, operations research, pattern recognition and image processing, soft computing and uncertainty modeling. Manuscripts submitted to the IJFS must be original unpublished work and should not be in consideration for publication elsewhere.