The computer scientist as toolsmith II
Communications of the ACM
Top ten visualization problems
ACM SIGGRAPH Computer Graphics
Information visualization: perception for design
Information visualization: perception for design
Keynote address: SIGGRAPH 1998 keynote address
ACM SIGGRAPH Computer Graphics
Immersive VR for Scientific Visualization: A Progress Report
IEEE Computer Graphics and Applications
Does the Difference between Information and Scientific Visualization Really Matter?
IEEE Computer Graphics and Applications
User Studies: Why, How, and When?
IEEE Computer Graphics and Applications
A Next Step: Visualizing Errors and Uncertainty
IEEE Computer Graphics and Applications
Visualization Handbook
Panel 1: Can We Determine the Top Unresolved Problems of Visualization?
VIS '04 Proceedings of the conference on Visualization '04
Visualization Research Problems in Next-Generation Educational Software
IEEE Computer Graphics and Applications
Enabling scientific workflows in virtual reality
Proceedings of the 2006 ACM international conference on Virtual reality continuum and its applications
IEEE Transactions on Visualization and Computer Graphics
Explanatory and Illustrative Visualization of Special and General Relativity
IEEE Transactions on Visualization and Computer Graphics
Cumulus cloud synthetic rendering techniques and their evaluations
Machine Graphics & Vision International Journal
Ensuring the continuing success of vizsec
Proceedings of the 3rd international workshop on Visualization for computer security
An ontological bridge between information and scientific visualization
ACM SIGGRAPH 2006 Research posters
A reprocessing tool for quantitative data analysis in a virtual environment
Proceedings of the ACM symposium on Virtual reality software and technology
Multifield-Graphs: An Approach to Visualizing Correlations in Multifield Scalar Data
IEEE Transactions on Visualization and Computer Graphics
Subjective Quantification of Perceptual Interactions among some 2D Scientific Visualization Methods
IEEE Transactions on Visualization and Computer Graphics
Perceptual dependencies in information visualization assessed by complex visual search
ACM Transactions on Applied Perception (TAP)
Visualizing Large-Scale Uncertainty in Astrophysical Data
IEEE Transactions on Visualization and Computer Graphics
Uncertainty Visualization in Medical Volume Rendering Using Probabilistic Animation
IEEE Transactions on Visualization and Computer Graphics
Kaleidomaps: a new technique for the visualization of multivariate time-series data
Information Visualization
Research agenda for visualization in transportation
ACM SIGGRAPH 2008 classes
Visualization and the larger world of computer graphics
ACM SIGGRAPH 2008 classes
Towards a Flexible and Distributed Simulation Platform
ICCSA '08 Proceeding sof the international conference on Computational Science and Its Applications, Part I
Proceedings of the 20th International Conference of the Association Francophone d'Interaction Homme-Machine
Computer graphics meets chaos and hyperchaos. Some key problems
Computers and Graphics
Evaluation of 2D and 3D glove input applied to medical image analysis
International Journal of Human-Computer Studies
ICVR'07 Proceedings of the 2nd international conference on Virtual reality
Measuring effective data visualization
ISVC'07 Proceedings of the 3rd international conference on Advances in visual computing - Volume Part II
Interactive data exploration and knowledge discovery
Proceedings of the International Conference on Advanced Visual Interfaces
Metrics for uncertainty analysis and visualization of diffusion tensor images
MIAR'10 Proceedings of the 5th international conference on Medical imaging and augmented reality
Human-centered visualization environments
Human-centered visualization environments
Direct volume rendering of volumetric protein data
CGI'06 Proceedings of the 24th international conference on Advances in Computer Graphics
Proceedings of the 2nd international workshop on Petascal data analytics: challenges and opportunities
VizDeck: self-organizing dashboards for visual analytics
SIGMOD '12 Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data
Visualizing uncertainty in multi-resolution volumetric data using marching cubes
Proceedings of the International Working Conference on Advanced Visual Interfaces
Visualization for the Physical Sciences
Computer Graphics Forum
Classification and uncertainty visualization of dendritic spines from optical microscopy imaging
EuroVis'08 Proceedings of the 10th Joint Eurographics / IEEE - VGTC conference on Visualization
Visualizing summary statistics and uncertainty
EuroVis'10 Proceedings of the 12th Eurographics / IEEE - VGTC conference on Visualization
Probexplorer: uncertainty-guided exploration and editing of probabilistic medical image segmentation
EuroVis'10 Proceedings of the 12th Eurographics / IEEE - VGTC conference on Visualization
Uncertainty-aware exploration of continuous parameter spaces using multivariate prediction
EuroVis'11 Proceedings of the 13th Eurographics / IEEE - VGTC conference on Visualization
Visualizing the positional and geometrical variability of isosurfaces in uncertain scalar fields
EuroVis'11 Proceedings of the 13th Eurographics / IEEE - VGTC conference on Visualization
Closed stream lines in uncertain vector fields
Proceedings of the 27th Spring Conference on Computer Graphics
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Scientific visualization as currently understood and practiced is still a relatively new discipline. As a result, we visualization researches are not necessarily accustomed to undertaking the sorts of self-examinations that other scientists routinely undergo in relation to their work. Yet if we are to creat a disciplinary culture focused on matters of real scientific importance and committed to real progress, it is essential that we ask ourselves hard questions on an ongoing basis. What are the most important research issues facing us? What underlying assumptions needs to be challenged and perhaps abandoned? What practices need to be reviewed? In this article, I attempt to start a discussion of these issues by proposing a list of top research problems and issues in scientific visualization.