A bibliometric study of the applied linguistics research output of Saudi institutions in the Web of Science for the decade 2011-2020

M. Mohsen
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引用次数: 8

Abstract

Purpose This paper aims to analyse the research contributions of the Kingdom of Saudi Arabia in the field of applied linguistics (AL) indexed in the Web of Science core collection for the period between 2011 and 2020. Design/methodology/approach The author searched key terms in the Social Science Citation Index and Science Citation Index Expanded categories that publish documents in AL. The author compiled the data, classified these documents according to their research focus and investigated different metrics such as keywords analysis, citation analysis, overseas collaboration and productivity over authors, institutions and sources by using VOSviewer and Excel sheet. Findings Results found that publications in Saudi Arabia have tremendously increased around three times in the years 2016–2020 than before. As unexpected, highly cited researchers, sources and institutions for the social science and arts and humanities disciplines were higher than the scientific disciplines that investigated linguistic issues such as neurology, audiology and computer science. The area of language teaching and learning was the most researched area in which the highly cited author, journals and keywords analysis metrics occurred within its scope. The highly cited articles were those that collaborated with the world contributing authors and acted as corresponding authors. Originality/value The study contributes to the body of literature of AL which shares other categories that investigated language as a central issue. The study provides a fine-grained picture about the research productivity of AL in scientific and social science categories in Saudi Arabia.
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2011-2020年十年科学网络中沙特机构应用语言学研究成果的文献计量学研究
目的分析2011年至2020年在Web of Science核心馆藏中检索到的沙特阿拉伯王国在应用语言学(AL)领域的研究贡献。设计/方法/方法:作者在Social Science Citation Index和Science Citation Index扩展类中检索发表AL中文献的关键词,利用VOSviewer和Excel表格对数据进行整理,根据研究重点对文献进行分类,并对作者、机构和来源进行关键词分析、引文分析、海外合作和生产力等不同指标的调查。结果发现,沙特阿拉伯的出版物在2016-2020年间比以前大幅增加了约三倍。出乎意料的是,社会科学、艺术和人文学科的高被引研究人员、来源和机构的被引率高于研究语言问题的科学学科,如神经病学、听力学和计算机科学。语言教学领域是研究最多的领域,高被引作者、高被引期刊、高关键词分析指标均在其范围内。高被引文章是那些与世界特约作者合作并担任通讯作者的文章。原创性/价值这项研究为人工智能的文献体系做出了贡献,它与其他以语言为中心问题进行研究的类别相同。该研究提供了一幅关于沙特阿拉伯科学和社会科学领域人工智能研究生产力的精细图景。
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