G2TT
来源类型Discussion paper
规范类型论文
来源IDDP8716
DP8716 Sub-field normalization in the multiplicative case: High- and low-impact citation indicators
Javier Ruiz-Castillo; Neus Herranz
发表日期2011-12-01
出版年2011
语种英语
摘要This paper uses high- and low-impact citation indicators for the evaluation of the citation performance of research units at different aggregate levels. To solve the problem of the assignment of individual articles to multiple sub-fields, it follows a multiplicative strategy according to which each paper is wholly counted as many times as necessary in the several categories to which it is assigned at each aggregation level. To control for wide differences in citation practices at the lowest level of aggregation, we apply a novel sub-field normalization procedure in the multiplicative case. The methodology is applied to a partition of the world into three geographical areas: the U.S., the European Union (EU), and the Rest of the World. The main findings are the following two. (i) Although normalization does not systematically bias the results against any area at lower aggregate levels, it reduces the U.S./EU high-impact gap in the all-sciences case by a non-negligible 14.4%. (ii) The dominance of the U.S. over the EU in the basic and applied research published in the periodical literature is almost universal at all aggregation levels. From the high-impact perspective, for example, the U.S. is ahead of the EU in 77 out of 80 disciplines, and all of 20 fields. For all sciences as a whole, the U.S. high-impact indicator is 61% greater than that of the EU.
主题Industrial Organization
关键词Citation analysis Web of science categories Journal classification Research performance Subfield normalization European paradox High- and low-impact indicators
URLhttps://cepr.org/publications/dp8716
来源智库Centre for Economic Policy Research (United Kingdom)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/537551
推荐引用方式
GB/T 7714
Javier Ruiz-Castillo,Neus Herranz. DP8716 Sub-field normalization in the multiplicative case: High- and low-impact citation indicators. 2011.
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