Mining citation information from CiteSeer data
Scientometrics
Bibliometric analysis of CiteSeer data for countries
Information Processing and Management: an International Journal
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Domain visualization aims to reveal the most significant intellectual structure associated with a subject domain. This article illustrates how domain visualization enables novel ways of accessing scientific literatures in digital libraries. The domain of computer graphics is visualized based on a citation analysis of articles appeared in the prestigious IEEE Computer Graphics and Applications over 18 years (1982-1999). The derived high-dimensional domain structure is uncovered using various visualization and animation techniques. Author co-citation maps open up new ways of visual information retrieval. Can users not only explore domain visualizations as a virtual landscape, but also invoke queries directly to a digital library. In this article, the domain visualization is linked to various citation-related information of scientific literatures on the Web through NEC's Research Index system.