What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Algorithm
- Geometry
David P. Dobkin mainly focuses on Combinatorics, Theoretical computer science, Artificial intelligence, Computational geometry and Discrete mathematics.
His Combinatorics research incorporates themes from Convex combination and Convex polytope, Convex set.
His Artificial intelligence research focuses on Pattern recognition and how it connects with Computer vision.
His Computational geometry study deals with Reflection symmetry intersecting with Topology.
The Discrete mathematics study combines topics in areas such as Intersection and Polyhedron.
His Convex hull algorithms study which covers Algorithm that intersects with Gift wrapping algorithm, Convex hull, Output-sensitive algorithm and Quickhull.
His most cited work include:
- The quickhull algorithm for convex hulls (3769 citations)
- Shape distributions (1442 citations)
- A search engine for 3D models (940 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Combinatorics, Discrete mathematics, Computational geometry, Algorithm and Artificial intelligence.
His work deals with themes such as Polygon, Intersection, Regular polygon, Convex analysis and Convex set, which intersect with Combinatorics.
In his study, Quickhull is strongly linked to Convex hull, which falls under the umbrella field of Convex set.
His work carried out in the field of Discrete mathematics brings together such families of science as Polyhedron and Largest empty rectangle.
In Algorithm, David P. Dobkin works on issues like Computer animation, which are connected to Data visualization.
He has researched Artificial intelligence in several fields, including Machine learning, Computer vision and Pattern recognition.
He most often published in these fields:
- Combinatorics (36.27%)
- Discrete mathematics (27.45%)
- Computational geometry (21.57%)
What were the highlights of his more recent work (between 1999-2015)?
- Algorithm (17.65%)
- Artificial intelligence (18.63%)
- Fresco (2.94%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Algorithm, Artificial intelligence, Fresco, Pattern recognition and Computational geometry.
David P. Dobkin combines Algorithm and Software in his studies.
In his research on the topic of Artificial intelligence, Fragment is strongly related with Computer vision.
His work on Active shape model, Heat kernel signature and Shape analysis is typically connected to Probability distribution as part of general Pattern recognition study, connecting several disciplines of science.
His work in Computational geometry addresses issues such as Reflection symmetry, which are connected to fields such as Combinatorics, Homogeneous space and Matching.
He combines subjects such as Creative visualization, Point and Polyhedron with his study of Line.
Between 1999 and 2015, his most popular works were:
- Shape distributions (1442 citations)
- A search engine for 3D models (940 citations)
- Matching 3D models with shape distributions (542 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Geometry
- Algorithm
David P. Dobkin mostly deals with Artificial intelligence, Computer vision, Heat kernel signature, Computer graphics and Shape analysis.
The various areas that David P. Dobkin examines in his Artificial intelligence study include Conceptual design, Polygon mesh and Surface.
His Computer vision research integrates issues from Geometric shape and Pattern recognition.
His Heat kernel signature study incorporates themes from Cognitive neuroscience of visual object recognition, Topological skeleton and Pattern matching.
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