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2011年至2021年语言学研究的趋势与热点话题:高被引论文的文献计量分析

Trends and hot topics in linguistics studies from 2011 to 2021: A bibliometric analysis of highly cited papers.

作者信息

Yan Sheng, Zhang Le

机构信息

School of Foreign Languages, Central China Normal University, Wuhan, China.

出版信息

Front Psychol. 2023 Jan 11;13:1052586. doi: 10.3389/fpsyg.2022.1052586. eCollection 2022.

Abstract

High citations most often characterize quality research that reflects the foci of the discipline. This study aims to spotlight the most recent hot topics and the trends looming from the highly cited papers (HCPs) in Web of Science category of and with bibliometric analysis. The bibliometric information of the 143 HCPs based on Essential Citation Indicators was retrieved and used to identify and analyze influential contributors at the levels of journals, authors, and countries. The most frequently explored topics were identified by corpus analysis and manual checking. The retrieved topics can be grouped into five general categories: , , and , , , and . Topics such as , , , , , , , are among the most frequently explored. Multilingual and positive trends are discerned from the investigated HCPs. The findings inform linguistic researchers of the publication characteristics of the HCPs in the linguistics field and help them pinpoint the research trends and directions to exert their efforts in future studies.

摘要

高被引频次通常是反映学科重点的高质量研究的特征。本研究旨在通过文献计量分析,聚焦科学网类别中高被引论文(HCPs)的最新热点话题和潜在趋势。基于基本被引指标检索了143篇高被引论文的文献计量信息,并用于识别和分析期刊、作者和国家层面的有影响力的贡献者。通过语料库分析和人工核对确定了最常探讨的话题。检索到的话题可分为五个一般类别: , ,以及 , , 。诸如 , , , , , , , 等话题是最常被探讨的。从所调查的高被引论文中可以看出多语言和积极的趋势。这些发现为语言研究者提供了语言学领域高被引论文的发表特征信息,并帮助他们确定未来研究中应努力的研究趋势和方向。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7dd4/9875073/f5a8b6cd08be/fpsyg-13-1052586-g001.jpg

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