Knowledge domain visualisation: main themes and evolution
Tsung Teng Chen and
Chiu-Hung Su
International Journal of Innovation and Learning, 2007, vol. 4, issue 5, 460-470
Abstract:
This paper illustrated a method that clarified an interdisciplinary and loosely defined research field – knowledge visualisation – in terms of analysing citations related to knowledge visualisation. We also applied this method to characterise the research trends of knowledge visualisation by chronologically examining its citations. This study may provide helpful guidance to researchers who are interested in the study of knowledge visualisation; moreover, the method used in this research can be applied to find out the underlying disciplines of a designated research field. The procedure used in this research is generic in nature and it is generally applicable in other comparable fields. We demonstrated the workings of this method by uncovering the underlying disciplines of knowledge visualisation and illustrating its research trends.
Keywords: knowledge visualisation; learning; innovation; citation analysis. (search for similar items in EconPapers)
Date: 2007
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.inderscience.com/link.php?id=12957 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ids:ijilea:v:4:y:2007:i:5:p:460-470
Access Statistics for this article
More articles in International Journal of Innovation and Learning from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().