An empirical comparison of pie vs. linear menus
CHI '88 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Envisioning information
Information visualization using 3D interactive animation
Communications of the ACM - Special issue on graphical user interfaces
Visual information seeking: tight coupling of dynamic query filters with starfield displays
CHI '94 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Readings in information visualization
A Technique for Drawing Directed Graphs
IEEE Transactions on Software Engineering
MindNet: acquiring and structuring semantic information from text
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
Empirical Study of a 3D Visualization for Information Retrieval Tasks
Journal of Intelligent Information Systems - Special issue: A survey of research questions for intelligent information systems in education
Graph Visualization and Navigation in Information Visualization: A Survey
IEEE Transactions on Visualization and Computer Graphics
Motion to support rapid interactive queries on node--link diagrams
ACM Transactions on Applied Perception (TAP)
Reevaluating stereo and motion cues for visualizing graphs in three dimensions
APGV '05 Proceedings of the 2nd symposium on Applied perception in graphics and visualization
Supporting visual queries on medium-sized node-link diagrams
Information Visualization
Visualizing graphs in three dimensions
ACM Transactions on Applied Perception (TAP)
Designing semantic substrates for visual network exploration
Information Visualization
Visual Thinking with an Interactive Diagram
Diagrams '08 Proceedings of the 5th international conference on Diagrammatic Representation and Inference
Showtime: increasing viewer understanding of dynamic network visualisations
Proceedings of the International Conference on Advanced Visual Interfaces
Visual queries: the foundation of visual thinking
Knowledge and Information Visualization
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A new method is presented to get insight into univariate time series data. The problem addressed here is how to identify patterns and trends on multiple time scales (days, weeks, seasons) simultaneously. The solution presented is to cluster similar daily ...