Visualizing the world's scientific publications

Rex H.G. Chen, Chi Ming Chen

研究成果: 雜誌貢獻期刊論文同行評審

12 引文 斯高帕斯(Scopus)


Automated methods for the analysis, modeling, and visualization of large-scale scientometric data provide measures that enable the depiction of the state of world scientific development. We aimed to integrate minimum span clustering (MSC) and minimum spanning tree methods to cluster and visualize the global pattern of scientific publications (PSP) by analyzing aggregated Science Citation Index (SCI) data from 1994 to 2011. We hypothesized that PSP clustering is mainly affected by countries' geographic location, ethnicity, and level of economic development, as indicated in previous studies. Our results showed that the 100 countries with the highest rates of publications were decomposed into 12 PSP groups and that countries within a group tended to be geographically proximal, ethnically similar, or comparable in terms of economic status. Hubs and bridging nodes in each knowledge production group were identified. The performance of each group was evaluated across 16 knowledge domains based on their specialization, volume of publications, and relative impact. Awareness of the strengths and weaknesses of each group in various knowledge domains may have useful applications for examining scientific policies, adjusting the allocation of resources, and promoting international collaboration for future developments.

頁(從 - 到)2477-2488
期刊Journal of the Association for Information Science and Technology
出版狀態已發佈 - 2016 10月 1

ASJC Scopus subject areas

  • 資訊系統
  • 電腦網路與通信
  • 資訊系統與管理
  • 圖書館與資訊科學


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