Spatial bibliometrics on the city level

被引：16

作者：

Bornmann, Lutz ^{[1
]}

de Moya-Anegon, Felix ^{[2
,3
]}

机构：

[1] Max Planck Gesell, Div Sci & Innovat Studies, Adm Headquarters, Hofgartenstr 8, D-80539 Munich, Germany

[2] CSIC, Inst Publ Goods & Policies IPP, Madrid, Spain

[3] SCImago Res Grp, Granada, Spain

来源：

JOURNAL OF INFORMATION SCIENCE | 2019年 / 45卷 / 03期

关键词：

German cities; spatial bibliometrics; top 1% papers;

D O I：

10.1177/0165551518806119

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

It is very popular in bibliometrics to present results on institutions not only as tabular lists, but also on maps (see, for example, the Leiden Ranking). However, the problem with these visualisations is that institutions are frequently spatially clustered in larger cities whereby institutions are positioned one above the other. In this Brief Communication, we propose as an alternative to visualise bibliometric data on the city rather than the institution level to avoid this problem.

引用

页码：416 / 425

页数：10

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