%0 Journal Article %1 chen_fitting_2001 %A Chen, Chaomei %A Paul, Ray J %A O?Keefe, Bob %D 2001 %J Journal of the American Society for Information Science %K analysis,co-citation analysis,domain citation visualization %P 315-330 %T Fitting the Jigsaw of Citation: Information Visualization in Domain Analysis %V 52 %X Domain visualization is one of the new research frontsb resulted from the proliferation of information visualization, aiming to reveal the essence of a knowledge domain. Information visualization plays an integral role in modeling and representing intellectual structures associated with scientific disciplines. In this article, the domain of computer graphics is visualized based on author cocitation patterns derived from an 18-year span of the prestigious IEEE Computer Graphics and Applications (1982?1999). This domain visualization utilizes a series of visualization and animation techniques, including author cocitation maps, citation time lines, animation of a highdimensional specialty space, and institutional profiles. This approach not only augments traditional domain analysis and the understanding of scientific disciplines, but also produces a persistent and shared knowledge space for researchers to keep track the development of knowledge more effectively. The results of the domain visualization are discussed and triangulated in a broader context of the computer graphics field.

@article{chen_fitting_2001, abstract = {Domain visualization is one of the new research frontsb resulted from the proliferation of information visualization, aiming to reveal the essence of a knowledge domain. Information visualization plays an integral role in modeling and representing intellectual structures associated with scientific disciplines. In this article, the domain of computer graphics is visualized based on author cocitation patterns derived from an 18-year span of the prestigious IEEE Computer Graphics and Applications (1982?1999). This domain visualization utilizes a series of visualization and animation techniques, including author cocitation maps, citation time lines, animation of a highdimensional specialty space, and institutional profiles. This approach not only augments traditional domain analysis and the understanding of scientific disciplines, but also produces a persistent and shared knowledge space for researchers to keep track the development of knowledge more effectively. The results of the domain visualization are discussed and triangulated in a broader context of the computer graphics field.}, added-at = {2007-12-03T17:48:07.000+0100}, author = {Chen, Chaomei and Paul, Ray J and O?Keefe, Bob}, biburl = {https://www.bibsonomy.org/bibtex/244bfe65de91a1192e274d1d719404192/sercarfe}, interhash = {3c935d1616e7a5553d977c13d2c7996b}, intrahash = {44bfe65de91a1192e274d1d719404192}, journal = {Journal of the American Society for Information Science}, keywords = {analysis,co-citation analysis,domain citation visualization}, note = {undefined Information Visualization, 2004. INFOVIS 2004. IEEE Symposium on}, pages = {315-330}, timestamp = {2007-12-03T17:48:23.000+0100}, title = {Fitting the Jigsaw of Citation: Information Visualization in Domain Analysis}, volume = 52, year = 2001 }