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引用次数: 0
摘要
本文旨在通过实证研究学术期刊 h 指数的演变及其 h 核心和 h² 核心的内部动态变化。h 指数描述的是某一特定时刻的情况;它们是动态指标。随着引用量的增长,h 指数和 h 核心也会随时间推移而增长。本文以《商业伦理期刊》的数据为例,分析了 h 核心随时间推移的构成情况,并以其他三种期刊的数据作为补充。结果显示了 h 核心的构成是如何随时间变化的。随着 h 指数的逐年扩大,新的文章进入 h 核心,而其他文章则消失,为新来者腾出空间。只有那些平均引用增长率与 h 指数平均增长率相近的文章才能留下来。在成熟期刊中,如我们的例子,进入 h 核心需要几年时间,一般为 10 年左右。类似的进入和退出现象也出现在 h² 核心和 h³ 核心的水平上,它们保持得更稳定。
The internal dynamics of journals’ h-cores over time
The objective of this article is to study, empirically, the evolution of the h-indexes of academic journals and the internal dynamics of their h-core and h²-core over time. The h-indexes describe a situation at a given moment in time; they are dynamic indicators.
As citations grow over time, the h-index and the h-core grow.
In this paper, the composition of the h-core over time is analyzed with an example of practical application, based on data from the Journal of Business Ethics, and complemented with three other journals. The results show how the composition of the h-core varies over time. As the h-index yearly expands, new additional articles enter the h-core, while other articles disappear to make room for newcomers. Only those articles remain that sustain a citation growth rate with an average around the average growth rate of the h-index. In a mature journal, as in our example, it takes a few years to enter the h-core, generally about ten years.
A similar entry and exit phenomenon also appears at the level of the h²-core and h³- core, which remain more stable.
The ha-core also has a dynamic evolution where new entrants arrive more quickly, which confirms the advantage of the ha-index that acknowledges potential papers earlier
期刊介绍:
Journal of Informetrics (JOI) publishes rigorous high-quality research on quantitative aspects of information science. The main focus of the journal is on topics in bibliometrics, scientometrics, webometrics, patentometrics, altmetrics and research evaluation. Contributions studying informetric problems using methods from other quantitative fields, such as mathematics, statistics, computer science, economics and econometrics, and network science, are especially encouraged. JOI publishes both theoretical and empirical work. In general, case studies, for instance a bibliometric analysis focusing on a specific research field or a specific country, are not considered suitable for publication in JOI, unless they contain innovative methodological elements.