A corpus-based bibliometric study of highly cited papers in sport sciences

科学网 文献计量学 引用 系统回顾 心理学 数据科学 计算机科学 梅德林 图书馆学 政治学 法学
作者
Yan Sheng,Zhang Huiting,Zhang Qiang,Chenhui Li
出处
期刊:SAGE Open [SAGE Publishing]
卷期号:14 (1) 被引量:6
标识
DOI:10.1177/21582440231225856
摘要

Highly cited papers showcase high-quality research and encompass significant themes in the field. This study examined a total of 435 highly cited papers based on Essential Citation Indicators in the Web of Science (WoS) category of sport sciences with a bibliometric method. In particular, the bibliometric indicators of the highly cited papers including publication venues, authors, countries, institutions, and the top cited publications were presented and analyzed in detail. An Abstract corpus was constructed to help identify the most frequently explored topics. VOSviewer was employed to visualize the co-occurrence networks of keywords. The study revealed the trending information of important contributors at the levels of journals, authors, countries, and institutes. The top cited publications can be grouped into three categories: guidelines, recommendations based on systematic reviews, and evaluations. The most frequently explored topics based on the Abstract corpus and the most frequently used keywords from VOSviewer mapping overlap to a great extent. Specifically, topics such as meta-analysis, systematic review, sport-related concussion, sedentary behavior, football, rehabilitation, and osteoarthritis are among the most frequently mentioned. The results provide the most updated publication characteristics and hot topics of highly cited papers in sport sciences and offer insights for academic researchers in future research.
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