Visualization Handbook

By Christopher R. Johnson, Charles D. Hansen. 2011

658 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Geoffrey P. Ellis
2. Daniel A. Keim
3. Jörn Kohlhammer
4. Florian Mansmann
5. Stephen Coggeshall
6. Ralf Klinkenberg
7. Niklas Elmqvist
8. Andreas Holzinger

Citations in the corpus

• Deep Level Sets: Implicit Surface Representations for 3D Shape Inference (2019, methodology): “ , for a given level set function ˚~, is entirely straightforward, only requiring the calculation of the inferred level set ~from ˚. This can be done using any of a number of existing algorithms, see [15]. Note that, as a consequence, our proposed framework is entirely indifferent to the choice isos”
• Data Classification: Algorithms and Applications (2014, background): “A general discussion on visual data mining methods is found in [10, 47, 49, 55, 83].”
• Mastering the Information Age - Solving Problems with Visual Analytics (2010, methodology): “A survey of current visualisation techniques can be found in the ’visualization handbook’[56].”