Mapping of science journals based on h-similarity

被引：11

作者：

Schubert, Andras ^{[1
]}

Soos, Sandor ^{[1
]}

机构：

[1] Hungarian Acad Sci, Inst Res Policy Studies, Budapest, Hungary

来源：

SCIENTOMETRICS | 2010年 / 83卷 / 02期

关键词：

h-index; h-similarity; Journals; Mapping; COMMUNITY STRUCTURE;

D O I：

10.1007/s11192-010-0167-y

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Journals covered by the 2006 Science Citation Index Journal Citation Reports database have been subjected to a clustering procedure utilizing h-similarity as the underlying similarity measure. Clustering complemented with a prototyping routine provided well-conceivable results that are both compatible with and further refine existing taxonomies of science.

引用

页码：589 / 600

页数：12

共 10 条

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