The detection of "hot regions" in the geography of science-A visualization approach by using density maps

被引:61
作者
Bornmann, Lutz [1 ]
Waltman, Ludo [2 ]
机构
[1] Max Planck Gesell, D-80539 Munich, Germany
[2] Leiden Univ, Ctr Sci & Technol Studies, Leiden, Netherlands
关键词
Density map; Geographic information system; Geographical mapping; Highly cited paper; Spatial scientometrics; BIBLIOMETRIC INDICATORS; NETWORKS; CITIES;
D O I
10.1016/j.joi.2011.04.006
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Spatial scientometrics has attracted a lot of attention in the very recent past. The visualization methods (density maps) presented in this paper allow for an analysis revealing regions of excellence around the world using computer programs that are freely available. Based on Scopus and Web of Science data, field-specific and field-overlapping scientific excellence can be identified in broader regions (worldwide or for a specific continent) where high quality papers (highly cited papers or papers published in Nature or Science) were published. We used a geographic information system to produce our density maps. We also briefly discuss the use of Google Earth. (C) 2011 Elsevier Ltd. All rights reserved.
引用
收藏
页码:547 / 553
页数:7
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