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 chen_visualizing_2001
%A Chen, Chaomei
%A Paul, R. J
%D 2001
%J Computer
%K 3D analysis,citation analysis,data co-citation domain extraction intellectual knowledge landscape,author literature,structural pattern structure visualisation,knowledge visualization,scientific
%P 65-71
%T Visualizing a knowledge domain's intellectual structure
%V 34
%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{chen_visualizing_2001,
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 = {2007-12-03T17:48:07.000+0100},
author = {Chen, Chaomei and Paul, R. J},
biburl = {https://www.bibsonomy.org/bibtex/2fb23f1180434114ed57479e21ba847c5/sercarfe},
interhash = {570e2fea26b3a86803597ff7df90976a},
intrahash = {fb23f1180434114ed57479e21ba847c5},
journal = {Computer},
keywords = {3D analysis,citation analysis,data co-citation domain extraction intellectual knowledge landscape,author literature,structural pattern structure visualisation,knowledge visualization,scientific},
pages = {65-71},
timestamp = {2007-12-03T17:48:19.000+0100},
title = {Visualizing a knowledge domain's intellectual structure},
volume = 34,
year = 2001
}