This is a collection of papers on Information Visualization cited in pages of this site. See also Books on Information Visualisation

  • Amar, R.; Eagan, J.; Stasko, J.; Information Visualization, 2005. INFOVIS 2005. IEEE Symposium on 23-25 Oct. 2005 Page(s):111 – 117 Digital Object Identifier 10.1109/INFVIS.2005.1532136
  • Bertin, J. (1981). Graphics and Graphic Information Processing. Walter de Gruyter, Berlin.
  • Bertin, J. (1983). Semiology of Graphics: Diagrams, Networks, Maps. The University of Wisconsin Press. English Edition.
  • Card, K. S., Mackinlay, J. D., and Shneiderman, B. (1999). Readings in Information Visualization, using vision to think. Morgan Kaufmann, Cal. USA.
  • Chen, C. (1999). Information Visualisation and Virtual Environments. Springer.
  • Hearst, M. (2003). Information visualization: Principles, promise, and pragmatics. Handouts of the tutorial at CHI 2003 Conference on Human Factors in Computing Systems.
  • Larkin, J. H. and Simon, H. A. (1987). Why a diagram is (sometimes) worth ten thousand words. In Glasgow, J., Narayahan, H., and Chandrasekaram, B., editors, Diagrammatic reasoning – cognitive and computational perspectives, pages 69-109. California: AAAI PressThe MIT Press. 1995. Reprinted from Cognitive Science, 11, 65-100, 1987.
  • Mackinlay, J. D. (1986). Automating the design of graphical presentations of relational information. ACM Transaction on graphics, 5(2):110-141.
  • Mackinlay, J. D. (2000). Information visualisation. Course notes. University of Aarhus, Denmark. 
  • Mackinlay, J. D., Robertson, G. G., and Card, S. K. (1991). The perspective wall: Detail and context smoothly integrated. In ACM Conference on Human Factors in Computing Systems (CHI ’91), pages 173-179.
  • Reed, M. and Heller, D. (1997). Olive, on-line library of information visualization environments. 
  • Rober, N. (2000). Multidimensional analysis and visualization software for dynamic spect. Master’s thesis, Otto-von-Guericke-Universitat, Magdeburg.
  • Sachinopoulou, A. (2001). Multidimensional visualization. Technical report, Espoo 2001. Technical Research Centre of Finland, VTT Tiedotteita, Meddelanden, Research Notes 2114. 
  • Ben Shneiderman (1996), “The Eyes Have It: A Task by Data Type Taxonomy for Information Visualizations”, Proc. IEEE Symposium on Visual Languages ’96, p. 336.
  • Shneiderman, B. (2002). Tutorial on information visualization. INFORMS Roundtable. November 2002, San Jose, CA.
  • Spence, R. (2001). Information Visualisation. Addison-Wesley.
  • Tufte, E. R. (1983). The Visual Display of Quantitative Information. Graphics Press, Cheshire, Connecticut, USA.
  • Tufte, E. R. (1990). Envisioning Information. Graphics Press, Cheshire, Connecticut, USA.
  • Uther, J. (2001). On the visualisation of large user models in web based systems. PhD thesis, School of Information Technologies, University of Sydney.
  • Ware, C. (2000). Information Visualization, perception for design. Morgan Kaufmann Publishers, San Francisco, USA.
  • Wehrend, S. C., and Lewis, C. 1990. A problem-oriented classification of visualization techniques. In Proceedings of the First IEEE Conference on Visualization, ed. A. E. Kaufman, et al., 139-143. San Francisco, CA, October 23 – 26 1990. Los Alamitos, CA: IEEE Computer Soc. Press.

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