What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Geometry
- Mathematical analysis
Gregory M. Nielson spends much of his time researching Interpolation, Spline interpolation, Algorithm, Computer graphics and Discrete mathematics.
Gregory M. Nielson integrates many fields in his works, including Interpolation and Data type.
The Algorithm study combines topics in areas such as Marching tetrahedra, Marching cubes, Asymptotic decider, Isosurface and Triangle mesh.
His specific area of interest is Computer graphics, where he studies Computer graphics.
His Computer graphics study integrates concerns from other disciplines, such as Visualization, Centroid, Grid and Three-dimensional space.
In his study, Partial derivative, Trigonometric interpolation, Knot and Hermite spline is inextricably linked to Polyharmonic spline, which falls within the broad field of Discrete mathematics.
His most cited work include:
- The asymptotic decider: resolving the ambiguity in marching cubes (405 citations)
- Scattered data modeling (204 citations)
- Scattered Data Interpolation and Applications: A Tutorial and Survey (144 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Visualization, Isosurface, Scientific visualization, Interpolation and Mathematical analysis.
Gregory M. Nielson combines subjects such as Computer graphics, Computer graphics and Rendering with his study of Visualization.
The concepts of his Isosurface study are interwoven with issues in Polygon mesh, Surface, Marching cubes, Algorithm and Topology.
The study incorporates disciplines such as Annotated bibliography, Information retrieval, Volume visualization, Information visualization and Data science in addition to Scientific visualization.
His Interpolation research incorporates elements of Function and Grid.
His Spline interpolation study combines topics in areas such as Discrete mathematics, Knot and Applied mathematics.
He most often published in these fields:
- Visualization (29.09%)
- Isosurface (19.09%)
- Scientific visualization (17.27%)
What were the highlights of his more recent work (between 2002-2012)?
- Isosurface (19.09%)
- Visualization (29.09%)
- Point cloud (7.27%)
In recent papers he was focusing on the following fields of study:
Gregory M. Nielson focuses on Isosurface, Visualization, Point cloud, Artificial intelligence and Computer vision.
His study in Isosurface is interdisciplinary in nature, drawing from both Marching cubes, Geometry, Data visualization, Algorithm and Topology.
His Visualization study combines topics from a wide range of disciplines, such as Acoustic metric and Computer graphics.
His research integrates issues of Data modeling, Surface and Mathematical optimization in his study of Point cloud.
His work deals with themes such as Zero and Applied mathematics, which intersect with Surface.
His studies in Triangle mesh integrate themes in fields like Asymptotic decider and Combinatorics.
Between 2002 and 2012, his most popular works were:
- On marching cubes (140 citations)
- Three-dimensional digital library system (140 citations)
- Dual Marching Cubes (100 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Geometry
- Mathematical analysis
Gregory M. Nielson mainly investigates Visualization, Isosurface, Information visualization, Data visualization and Topology.
His Isosurface research incorporates themes from Triangle mesh, Marching cubes and Volume rendering.
In his research, Algorithm is intimately related to Combinatorics, which falls under the overarching field of Marching cubes.
His Volume rendering study incorporates themes from Bicubic interpolation, Spline interpolation and Bilinear interpolation.
His research in Information visualization intersects with topics in Development, Scientific visualization and Polygon mesh, Computer graphics.
His research investigates the connection between Topology and topics such as Linear interpolation that intersect with issues in Mesh generation.
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