Top 10 Unsolved Information Visualization Problems

By Chaomei Chen. IEEE Computer Graphics and Applications, 2005

379 citations recorded by the source corpus.

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Visual Analytics: Scope and Challenges (2008, background): “Eventually, scalability becomes a major problem in both, automatic as well as visual analysis ([26], [27]), as it becomes more and more challenging to analyze these data sets.”
Visualizing Big Data with augmented and virtual reality: challenges and research agenda (2015, methodology): “After observation and discussion about existing visualization methods and tools for Big Data, we can clarify and outline its important disadvantages that are sufficiently discussed by specialists from different fields [147–149].”
Science Mapping: A Systematic Review of the Literature (2017, background): “The vision of information visualization is to identify insightful patterns from abstract information (Card, Mackinlay, & Shneiderman, 1999; Chen, 2005; Chen, 2010).”
Geovisual analytics for spatial decision support: Setting the research agenda (2007, background): “…from the areas of human– computer interaction (Jacko and Sears 2002, Dix et al. 2003, Shneiderman and Plaisant 2004), computer-supported cooperative work (Palmer, et al. 1994, Zhu 2006), and geocollaboration (MacEachren and Brewer 2004, Convertino et al. 2005) are of great relevance here.”