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.
%0 Journal Article
%1 chen01b
%A Chen, C.
%A Paul, Ray J.
%D 2001
%J IEEE Computer
%K information co-citation visualization
%T Visualizing a Knowledge Domain's Intellectual Structure
%V March
%X 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.
@article{chen01b,
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.},
added-at = {2006-03-24T16:34:33.000+0100},
author = {Chen, C. and Paul, Ray J.},
biburl = {https://www.bibsonomy.org/bibtex/234c36d7a75c52aa3ecedfbf41258e303/neilernst},
citeulike-article-id = {111780},
description = {sdasda},
interhash = {570e2fea26b3a86803597ff7df90976a},
intrahash = {34c36d7a75c52aa3ecedfbf41258e303},
journal = {IEEE Computer},
keywords = {information co-citation visualization},
pdf = {sci-knwledge-ieee.pdf},
priority = {1},
timestamp = {2006-03-24T16:34:33.000+0100},
title = {Visualizing a {K}nowledge {D}omain's {I}ntellectual {S}tructure},
volume = {March},
year = 2001
}