Visualizing a knowledge domain’s intellectual structure

Chaomei Chen, Ray J. Paul

Research output: Contribution to journalArticlepeer-review

152 Citations (Scopus)

Abstract

To make knowledge visualizations clear and easy to interpret, a method was developed that extends and transforms traditional author co-citation analysis (ACA) by extracting structural patterns from the scientific literature and representing them in a 3D knowledge landscape. The method identifies intellectual groupings based on extending the traditional ACA, augmenting the existing document- and concept-centered approaches to knowledge visualization.

Original languageEnglish
Pages (from-to)65-71
Number of pages7
JournalComputer
Volume34
Issue number3
DOIs
Publication statusPublished - 2001 Mar

Bibliographical note

Funding Information:
We thank the reviewers for their helpful comments. This work is supported by research grant GR/L61088 from the Engineering and Physical Sciences Research Council in the UK.

All Science Journal Classification (ASJC) codes

  • Computer Science(all)

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