Top Scientific Visualization Research Problems
By Chris R. Johnson. IEEE Computer Graphics and Applications, 2004
370 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition, Visual Arts and Performing Arts
View Paper: https://www.semanticscholar.org/paper/1cde9f9d6b4ab63ec6804479cdc7e9f9a2e55884
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Jack van Wijk
- Thomas Olsson
- Yevgeni Koucheryavy
- Aleksandr Ometov
- Ekaterina Olshannikova
- Torsten Möller
- Jing Chen
- Zeshui Xu
In Computer Vision and Pattern Recognition
- Petra Isenberg
- Tobias Isenberg
- Torsten Möller
- Jing Chen
- Michael Sedlmair
- Jack van Wijk
- Thomas Olsson
- Yevgeni Koucheryavy
In Visual Arts and Performing Arts
Citations in the corpus
- 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].”
- Visualization and Visual Analysis of Multifaceted Scientific Data: A Survey (2013, neutral): “The interactive visualization of such multivariate data (f2) is challenging too [2].”
- The value of visualization (2005, background): “Several researchers have presented [7, 9, 17] overviews of current challenges.”
- A Systematic Review on the Practice of Evaluating Visualization (2013, background): “Most notably among them was Johnson’s “top scientific visualization research problems” [28].”