Co-Citation of Co-Citations: Structuring the Subset of Scientific Documents Reflecting Modern Bibliometric Methods

IF 0.5 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS
B. L. Milman, I. K. Zhurkovich
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引用次数: 0

Abstract

A cluster analysis of the 100 most cited scientific papers on bibliometrics (scientometrics and informetrics) is carried out. The main bibliometric methods are identified, which make it possible to distinguish between the subject areas of their application. Co-citation of scientific papers and co-citation of their authors are still common. The analysis of scientific vocabulary (co-occurrence of words) complements the noted techniques. More often, in recent years, a set of bibliometric methods is used as a result of the application of modern computer programs to the statistical processing of bibliographic data. The fields of development and the application of bibliometrics related to separate clusters include nonmatching groups of various research topics in combination with different bibliometric methods. The use of bibliometrics in soft science (such as the social sciences) research is widespread, and in recent years it has not come at an inferior rate to its more traditional use in the natural sciences. The statistics on documents, references, and other indicators, to some extent, form the soft sciences themselves and delineate the areas of relevant studies.

Abstract Image

Abstract Image

共同引用的共同引用:构建反映现代文献计量学方法的科学文献子集
摘要 对 100 篇被引用次数最多的文献计量学(科学计量学和信息计量学)科学论文进行了聚类分析。确定了主要的文献计量学方法,从而有可能区分其应用的主题领域。科学论文的共同引用及其作者的共同引用仍然很常见。科学词汇分析(词的共同出现)是对上述技术的补充。近年来,随着现代计算机程序在书目数据统计处理中的应用,一套书目计量学方法得到了更多的使用。书目计量学的发展和应用领域与单独的群组有关,包括结合不同书目计量学方法的各种研究课题的非匹配群组。文献计量学在软科学(如社会科学)研究中的应用非常广泛,而且近年来的发展速度并不亚于其在自然科学中的传统应用。有关文献、参考文献和其他指标的统计数据在某种程度上形成了软科学本身,并划分了相关研究的领域。
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来源期刊
AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS
AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS COMPUTER SCIENCE, INFORMATION SYSTEMS-
自引率
40.00%
发文量
18
期刊介绍: Automatic Documentation and Mathematical Linguistics  is an international peer reviewed journal that covers all aspects of automation of information processes and systems, as well as algorithms and methods for automatic language analysis. Emphasis is on the practical applications of new technologies and techniques for information analysis and processing.
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