Patterns in journal citation data revealed by exploratory multivariate analysis

被引：11

作者：

Enachescu, C ^{[1
]}

Postelnicu, T ^{[1
]}

机构：

[1] Inst Math Stat & Appl Math, Bucharest, Romania

来源：

SCIENTOMETRICS | 2003年 / 56卷 / 01期

关键词：

Multivariate Analysis; Principal Component Analysis; Statistic Field; Citation Data; Dual Method;

D O I：

10.1023/A:1021946506987

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

The paper discusses techniques to emphasize patterns in citation data and to study their dynamics. In this context, the STATIS and the STATIS dual methods are presented. The methods are a generalization of the principal component analysis from a dynamical point of view. STATIS and its dual are applied in order to illustrate the dynamic of 'citing-cited patterns' by using citation data of sixteen major journals from the statistics field.

引用

页码：43 / 59

页数：17