Bibliometric analysis of tsunami research

Wen Ta Chiu, Yu Shan Ho

Research output: Contribution to journalArticle

199 Citations (Scopus)

Abstract

The use of the bibilometric analytical technique for examining tsunami research does not exist in the literature. The objective of the study was to perform a bibliometric analysis of all tsunami-related publications in the Science Citation Index (SCI). Analyzed parameters included document type, language of publication, publication output, authorship, publication patterns, distribution of subject category, distribution of author keywords, country of publication, most-frequently cited article, and document distribution after the Indonesia tsunami. The US and Japan produced 53% of the total output where the seven major industrial countries accounted for the majority of the total production. English was the dominant language, comprising 95% of articles. A simulation model was applied to describe the relationship between the number of authors and the number of articles, the number of journals and the number of articles, and the percentage of total articles and the number of times a certain keyword was used. Moreover the tsunami publication patterns in the first 8 months after the Indonesia tsunami occurred on 26 December 2004 indicated a high percentage of non-article publications and more documents being published in journals with higher impact factors.

Original languageEnglish
Pages (from-to)3-17
Number of pages15
JournalScientometrics
Volume73
Issue number1
DOIs
Publication statusPublished - Oct 2007

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Tsunamis
Indonesia
language
simulation model
Japan
science

ASJC Scopus subject areas

  • Computer Science Applications
  • Computational Theory and Mathematics
  • Library and Information Sciences

Cite this

Bibliometric analysis of tsunami research. / Chiu, Wen Ta; Ho, Yu Shan.

In: Scientometrics, Vol. 73, No. 1, 10.2007, p. 3-17.

Research output: Contribution to journalArticle

Chiu, Wen Ta ; Ho, Yu Shan. / Bibliometric analysis of tsunami research. In: Scientometrics. 2007 ; Vol. 73, No. 1. pp. 3-17.
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