The effect of database dirty data on h-index calculation

被引：10

作者：

Fiorenzo, Franceschini ^{[1
]}

Domenico, Maisano ^{[1
]}

Luca, Mastrogiacomo ^{[1
]}

机构：

[1] Politecn Torino, DIGEP, I-10129 Turin, Italy

来源：

SCIENTOMETRICS | 2013年 / 95卷 / 03期

关键词：

Citations; h-index; h-index robustness; Uncertain data; Dirty database;

D O I：

10.1007/s11192-012-0871-x

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

As all databases, the bibliometric ones (e.g. Scopus, Web of Knowledge and Google Scholar) are not exempt from errors, such as missing or wrong records, which may obviously affect publication/citation statistics and-more in general-the resulting bibliometric indicators. This paper tries to answer to the question "What is the effect of database uncertainty on the evaluation of the h-index?", breaking the paradigm of deterministic database analysis and treating responses to database queries as random variables. Precisely an informetric model of the h-index is used to quantify the variability of this indicator with respect to the variability stemming from errors in database records. Some preliminary results are presented and discussed.

引用

页码：1179 / 1188

页数：10

共 34 条

[1] h-Index: A review focused in its variants, computation and standardization for different scientific fields [J].