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Visualization According To Research Paper Keywords

Petra Isenberg 1 Tobias Isenberg 1 Michael Sedlmair 2 Jian Chen 3 Torsten Möller 4 
1 AVIZ - Analysis and Visualization
LRI - Laboratoire de Recherche en Informatique, Inria Saclay - Ile de France
2 VDA Group
Faculty of Computer Science [Vienna]
3 Department of Computer Science
Department of Computer Science and Electrical Engineering, University of Maryland Baltimore County
Abstract : We analyzed visualization paper keywords supplied for 4366 papers accepted to three main visualization conferences. We describe main keywords, topic areas, and 10-year historic trends from author-chosen keywords for papers published in the IEEE Visualization conference series (now called IEEE VIS) since 2004. Furthermore, we present the KeyVis Web application that allows visualization researchers to easily browse the 2600+ keywords used for IEEE VIS papers of the past 10 years, aiming at more informed and, hence, more effective keyword selections for future visualization publications and efficient search for related work.
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Submitted on : Monday, September 8, 2014 - 5:16:24 PM
Last modification on : Friday, November 18, 2022 - 9:24:16 AM
Long-term archiving on: : Tuesday, December 9, 2014 - 12:36:21 PM


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  • HAL Id : hal-01061912, version 1


Petra Isenberg, Tobias Isenberg, Michael Sedlmair, Jian Chen, Torsten Möller. Visualization According To Research Paper Keywords. Posters at the IEEE Conference on Visualization (VIS), 2014, Los Alamitos, United States. ⟨hal-01061912⟩



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