2009 - SIAM Fellow For contributions to scientific computing and visualization.
2005 - Fellow of the American Association for the Advancement of Science (AAAS)
His main research concerns Visualization, Data visualization, Artificial intelligence, Information visualization and Data science. His work on Computational steering is typically connected to Process as part of general Visualization study, connecting several disciplines of science. His Data visualization research is multidisciplinary, relying on both Common Component Architecture, Software, Problem solving environment and Component.
His Artificial intelligence study incorporates themes from Reciprocity, Simple, Computer vision and Electroencephalography. His Information visualization study combines topics in areas such as Theoretical computer science, Interactive visualization, Human–computer interaction, Pipeline and Taxonomy. His Data science research integrates issues from Visual analytics, Variety and Scientific visualization, Computer graphics.
Chris R. Johnson mostly deals with Visualization, Artificial intelligence, Data science, Computer vision and Computer graphics. His Data visualization, Information visualization, Scientific visualization, Creative visualization and Interactive visualization investigations are all subjects of Visualization research. His Data visualization study frequently links to related topics such as Computational geometry.
His biological study spans a wide range of topics, including Algorithm, Machine learning, Electroencephalography and Pattern recognition. He combines subjects such as Data-driven and Interpolation with his study of Algorithm. His study in Data science is interdisciplinary in nature, drawing from both Field and Software.
Chris R. Johnson focuses on Visualization, Computer vision, Artificial intelligence, Rendering and Ray tracing. Visualization is the subject of his research, which falls under Data mining. His work deals with themes such as Range, Construct, Pipeline and Electroencephalography, which intersect with Computer vision.
His work on Segmentation, Ringing artifacts and Contrast as part of general Artificial intelligence study is frequently linked to Visibility, therefore connecting diverse disciplines of science. Chris R. Johnson studied Ray tracing and Computational science that intersect with Interactive visualization, Vector field and Documentation. His Data visualization research incorporates elements of Visual analytics, Field, Information visualization and Conceptual model.
Chris R. Johnson mainly investigates Visualization, Creative visualization, Data mining, Scientific visualization and Rendering. His work on Data visualization and Visual analytics as part of his general Visualization study is frequently connected to Context, thereby bridging the divide between different branches of science. His studies deal with areas such as Association rule learning, Multivariate analysis and Multivariate statistics as well as Data visualization.
His research in Creative visualization focuses on subjects like Workflow, which are connected to Computer graphics. He has researched Scientific visualization in several fields, including Interactive visualization and Streamlines, streaklines, and pathlines. He has researched Rendering in several fields, including Tiled rendering, Ray tracing and Computational science.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Stationary and nonstationary learning characteristics of the LMS adaptive filter
B. Widrow;J.M. McCool;M.G. Larimore;C.R. Johnson.
Proceedings of the IEEE (1976)
Visualization Handbook
Christopher Johnson;Charles Hansen.
(2011)
Visualization Handbook
Christopher Johnson;Charles Hansen.
(2011)
The Visualization Handbook
Charles D. Hansen;Chris R. Johnson.
(2005)
The Visualization Handbook
Charles D. Hansen;Chris R. Johnson.
(2005)
SCIRun: A Scientific Programming Environment for Computational Steering
Steven G. Parker;Christopher R. Johnson.
conference on high performance computing (supercomputing) (1995)
SCIRun: A Scientific Programming Environment for Computational Steering
Steven G. Parker;Christopher R. Johnson.
conference on high performance computing (supercomputing) (1995)
A near optimal isosurface extraction algorithm using the span space
Y. Livnat;Han-Wei Shen;C.R. Johnson.
IEEE Transactions on Visualization and Computer Graphics (1996)
A near optimal isosurface extraction algorithm using the span space
Y. Livnat;Han-Wei Shen;C.R. Johnson.
IEEE Transactions on Visualization and Computer Graphics (1996)
Ill-convergence of Godard blind equalizers in data communication systems
Z. Ding;R.A. Kennedy;B.D.O. Anderson;C.R. Johnson.
IEEE Transactions on Communications (1991)
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