Visualizing a knowledge domain's intellectual structure

descriptionPublicationkeyboard_double_arrow_right Article 01 Mar 2001Publisher:Institute of Electrical and Electronics Engineers (IEEE)Journal:Computer, volume 34, pages 65-71 (issn: 0018-9162,

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Authors: Chaomei Chen; Ray J. Paul;

doi: 10.1109/2.910895

Visualizing a knowledge domain's intellectual structure

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Abstract

To make knowledge visualizations clear and easy to interpret, we have developed a method that extends and transforms traditional author co-citation analysis by extracting structural patterns from the scientific literature and representing them in a 3D knowledge landscape.

Related Organizations

Brunel University London
United Kingdom
Universiti Brunei Darussalam
Brunei Darussalam

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	165
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 1%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 1%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 1%