What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Computer vision
- Operating system
His scientific interests lie mostly in Computer vision, Artificial intelligence, Computer graphics, Voxel and Rendering.
His Computer vision study integrates concerns from other disciplines, such as Visualization and Interpolation.
His study in Dimension extends to Artificial intelligence with its themes.
His research related to Volume rendering, Graphics, Volume visualization, Ray casting and Computer graphics might be considered part of Computer graphics.
His study in Voxel is interdisciplinary in nature, drawing from both Process, Cube, Data visualization, Raster graphics and Function.
His study in the fields of 3D rendering under the domain of Rendering overlaps with other disciplines such as Data flow diagram.
His most cited work include:
- Volume graphics (468 citations)
- GPU Cluster for High Performance Computing (404 citations)
- Volume Visualization (379 citations)
What are the main themes of his work throughout his whole career to date?
Arie E. Kaufman focuses on Artificial intelligence, Computer vision, Computer graphics, Rendering and Volume rendering.
His study on Visualization, Segmentation and Image is often connected to Virtual colonoscopy as part of broader study in Artificial intelligence.
The various areas that Arie E. Kaufman examines in his Visualization study include Computer graphics and Navigation system.
His research is interdisciplinary, bridging the disciplines of Volume and Computer graphics.
Arie E. Kaufman focuses mostly in the field of Rendering, narrowing it down to matters related to Tiled rendering and, in some cases, Alternate frame rendering.
His Volume rendering research incorporates elements of Algorithm, Scientific visualization, Parallel computing and Texture memory.
He most often published in these fields:
- Artificial intelligence (45.81%)
- Computer vision (43.17%)
- Computer graphics (38.11%)
What were the highlights of his more recent work (between 2011-2021)?
- Artificial intelligence (45.81%)
- Computer vision (43.17%)
- Visualization (27.31%)
In recent papers he was focusing on the following fields of study:
Artificial intelligence, Computer vision, Visualization, Rendering and Virtual colonoscopy are his primary areas of study.
His Artificial intelligence research incorporates themes from Computed tomography and Pattern recognition.
His work in the fields of Computer vision, such as Volume rendering and Augmented reality, overlaps with other areas such as Discrimination threshold.
His Visualization research incorporates themes from Conformal map and Computer graphics, Computer graphics.
His Computer graphics course of study focuses on Frame rate and Image resolution.
His research investigates the connection between Rendering and topics such as Virtual reality that intersect with issues in User interface.
Between 2011 and 2021, his most popular works were:
- Towards virtual reality infinite walking: dynamic saccadic redirection (66 citations)
- Mapping virtual and physical reality (64 citations)
- Area-Preservation Mapping using Optimal Mass Transport (57 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Operating system
- Computer vision
Arie E. Kaufman mainly focuses on Visualization, Artificial intelligence, Computer vision, Immersion and Virtual reality.
His work deals with themes such as Flattening and Computer graphics, Computer graphics, which intersect with Visualization.
His Computer graphics research focuses on Graphics in particular.
Arie E. Kaufman conducted interdisciplinary study in his works that combined Artificial intelligence and Boundary.
When carried out as part of a general Computer vision research project, his work on Volume rendering and Virtual image is frequently linked to work in Obstacle, therefore connecting diverse disciplines of study.
The study incorporates disciplines such as User interface and Rendering in addition to Virtual reality.
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