种子h指数论文的知识扩散特征研究

Mei-Ling Gao, Hong Qiao
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引用次数: 0

摘要

通过检索Web of Science的SCI/SSCI核心数据库中引用h-index的3679篇论文,研究了h-index论文在科学知识领域的扩散情况。利用Histcite、Pajek和VOSviewer软件,从时间和空间扩散、扩散指标和h指数前30位被引论文的主要路径三个维度对中国近16年的知识扩散进行了测度。采用了知识扩散指数法、关键词共现法和主路径分析法。结果表明,h指数论文被持续引用并传播到美国、中国、西班牙、德国等96个国家和地区。安特卫普大学和马克斯普朗克学会是主要的研究机构,大多数作者来自这些机构。共现关键词的分析表明,h指数扩散最初集中在文献计量学领域,最近已经扩散到人工智能等其他领域。本工作通过对高被引论文的路径分析,可以帮助研究者更好地了解h指数当前的发展趋势,为新指标的创新提供指导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on the Characteristics of Knowledge Diffusion of Seminal H-Index Papers
The diffusion of h-index papers in the field of scientific knowledge was investigated by retrieving 3679 papers that cited the h-index from the Web of Science's SCI/SSCI core database.With using Histcite, Pajek, and VOSviewer software, this paper measures the knowledge diffusion over the last 16 years using indicators in three dimensions: the time and space diffusion, the diffusion indicators, and the main path of the top 30 cited papers on h-index. The knowledge diffusion index, keyword co-occurrence, and main path analysis methods are used. The results show that h-index papers have been continuously cited and spread to 96 countries and regions, including the United States, China, Spain and Germany. The University of Antwerp and the Max Planck Society are the primary research institutes, and most of the authors are from these institutions. The analysis of co-occurrence keywords shows that h-index diffusion was initially concentrated in bibliometrics, and has recently spread to other fields such as artificial intelligence. Through the path analysis of highly cited papers, this work can help researchers understand the current development trend of the h index better and provide guidance for new index innovation.
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