What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Quantum mechanics
- Geometry
Nelson Max focuses on Computer graphics, Rendering, Geometry, Volume rendering and Data visualization.
His biological study spans a wide range of topics, including Bidirectional texture function and Texture filtering.
Computer vision and Artificial intelligence are the main areas of his Rendering studies.
His Geometry study combines topics from a wide range of disciplines, such as Bump mapping and Spherical harmonics.
His research in Volume rendering intersects with topics in Light scattering, Compositing and Interpolation.
His work deals with themes such as Plug-in, User interface, Vector field and Set, which intersect with Data visualization.
His most cited work include:
- Optical models for direct volume rendering (582 citations)
- Area and volume coherence for efficient visualization of 3D scalar functions (206 citations)
- Bidirectional reflection functions from surface bump maps (193 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Computer graphics, Rendering, Artificial intelligence, Computer vision and Volume rendering.
The various areas that Nelson Max examines in his Computer graphics study include Visualization and Vector field.
His Rendering study integrates concerns from other disciplines, such as Scientific visualization and Scattering.
His Artificial intelligence research incorporates themes from Graphics and Polygon.
His Volume rendering study also includes
- Polygon mesh together with Mesh generation,
- Regular polygon which is related to area like Polyhedron and Compositing.
His studies in Bump mapping integrate themes in fields like Horizon and Geometry.
He most often published in these fields:
- Computer graphics (40.23%)
- Rendering (25.86%)
- Artificial intelligence (24.14%)
What were the highlights of his more recent work (between 2010-2021)?
- Artificial intelligence (24.14%)
- Computer vision (22.41%)
- Visualization (14.94%)
In recent papers he was focusing on the following fields of study:
Artificial intelligence, Computer vision, Visualization, Computer graphics and Flow visualization are his primary areas of study.
His study in the fields of Leverage under the domain of Artificial intelligence overlaps with other disciplines such as A protein, Beta sheet and Critical assessment.
He combines subjects such as Planar and Plane with his study of Computer vision.
His Visualization research incorporates elements of Domain, Streamlines, streaklines, and pathlines and Data science.
His Computer graphics study frequently links to other fields, such as Surface.
His work on Real-time rendering as part of general Rendering research is frequently linked to Anti-aliasing, thereby connecting diverse disciplines of science.
Between 2010 and 2021, his most popular works were:
- Structured Light-Based 3D Reconstruction System for Plants (75 citations)
- Technical Section: Surface-based flow visualization (49 citations)
- An Illustrative Visualization Framework for 3D Vector Fields (24 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Quantum mechanics
- Geometry
Nelson Max spends much of his time researching Computer vision, Artificial intelligence, Flow visualization, Visualization and Function.
His research in Computer vision intersects with topics in Plane, Energy and Piecewise.
The Artificial intelligence study combines topics in areas such as Initialization, Software and Graph.
His Flow visualization study spans across into subjects like Seeding, Surface, Computer graphics, Data science and Computation.
His Visualization study combines topics from a wide range of disciplines, such as Domain, Field and Flow.
His Feature research is multidisciplinary, incorporating perspectives in 3D reconstruction, Point cloud, Feature extraction and Lidar.
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