D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Mathematics D-index 40 Citations 9,373 260 World Ranking 1351 National Ranking 4
Computer Science D-index 43 Citations 9,790 273 World Ranking 4958 National Ranking 13

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Geometry
  • Algorithm

Godfried T. Toussaint mostly deals with Combinatorics, Artificial intelligence, Convex hull, Computational geometry and Algorithm. His research integrates issues of Discrete mathematics, Upper and lower bounds and Polygon in his study of Combinatorics. Godfried T. Toussaint interconnects Computer vision and Pattern recognition in the investigation of issues within Artificial intelligence.

His study in Convex hull is interdisciplinary in nature, drawing from both Voronoi diagram and Convex polytope. His work carried out in the field of Computational geometry brings together such families of science as Point, Theoretical computer science, Set, Facility location problem and Plane. He usually deals with Theoretical computer science and limits it to topics linked to Pattern analysis and Relative neighborhood graph.

His most cited work include:

  • The relative neighbourhood graph of a finite planar set (846 citations)
  • Relative neighborhood graphs and their relatives (612 citations)
  • Solving geometric problems with the rotating calipers (459 citations)

What are the main themes of his work throughout his whole career to date?

Godfried T. Toussaint spends much of his time researching Combinatorics, Artificial intelligence, Polygon, Algorithm and Discrete mathematics. The Combinatorics study combines topics in areas such as Regular polygon, Convex hull, Simple polygon and Star-shaped polygon. His research investigates the connection between Regular polygon and topics such as Plane that intersect with problems in Simple.

As a member of one scientific family, he mostly works in the field of Convex hull, focusing on Convex polytope and, on occasion, Orthogonal convex hull. Godfried T. Toussaint has included themes like Machine learning, Rhythm and Pattern recognition in his Artificial intelligence study. His study of Computational geometry is a part of Algorithm.

He most often published in these fields:

  • Combinatorics (44.30%)
  • Artificial intelligence (21.17%)
  • Polygon (16.29%)

What were the highlights of his more recent work (between 2009-2019)?

  • Rhythm (14.01%)
  • Combinatorics (44.30%)
  • Artificial intelligence (21.17%)

In recent papers he was focusing on the following fields of study:

His primary areas of investigation include Rhythm, Combinatorics, Artificial intelligence, Speech recognition and Discrete mathematics. His work deals with themes such as Plane and Polygon, which intersect with Combinatorics. He has researched Polygon in several fields, including Intersection and Theoretical computer science.

His Artificial intelligence research includes themes of Natural language processing, Machine learning, Indifference graph and Pattern recognition. His Pattern recognition research incorporates themes from Time complexity and Decision rule. His Discrete mathematics research includes elements of Mirror symmetry and Binary number.

Between 2009 and 2019, his most popular works were:

  • The Geometry of Musical Rhythm (56 citations)
  • The Geometry of Musical Rhythm: What Makes a "Good" Rhythm Good? (22 citations)
  • Computational geometric aspects of rhythm, melody, and voice-leading (21 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Geometry
  • Statistics

Rhythm, Combinatorics, Artificial intelligence, Discrete mathematics and Guard are his primary areas of study. His Rhythm study integrates concerns from other disciplines, such as Music theory, Communication, Audiology, Music information retrieval and Duration. His Music theory study incorporates themes from Edit distance, Correlation and Pattern recognition.

His research combines Nearest neighbor graph and Combinatorics. His study looks at the relationship between Artificial intelligence and fields such as Natural language processing, as well as how they intersect with chemical problems. His Discrete mathematics research is multidisciplinary, incorporating perspectives in Relative interior, Simple polygon, Art gallery problem, Polygon and Edge.

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.

Best Publications

The relative neighbourhood graph of a finite planar set

Godfried T. Toussaint.
Pattern Recognition (1980)

1346 Citations

Relative neighborhood graphs and their relatives

J.W. Jaromczyk;G.T. Toussaint.
Proceedings of the IEEE (1992)

966 Citations

Solving geometric problems with the rotating calipers

Godfried T. Toussaint.
Proceedings of the IEEE MELECON, 1983 (1983)

723 Citations

Bibliography on estimation of misclassification

G. Toussaint.
IEEE Transactions on Information Theory (1974)

416 Citations

PATTERN RECOGNITION AND GEOMETRICAL COMPLEXITY.

Godfried T. Toussaint.
Unknown conference (1980)

286 Citations

Computing the width of a set

M.E. Houle;G.T. Toussaint.
IEEE Transactions on Pattern Analysis and Machine Intelligence (1988)

280 Citations

A fast convex hull algorithm

Selim G. Akl;Godfried T. Toussaint.
Information Processing Letters (1978)

183 Citations

The use of context in pattern recognition

Godfried T. Toussaint.
Pattern Recognition (1978)

180 Citations

An efficient algorithm for decomposing a polygon into star-shaped polygons

David Avis;Godfried T. Toussaint.
Pattern Recognition (1981)

165 Citations

Movable Separability of Sets

Godfried T. Toussaint.
Machine Intelligence and Pattern Recognition (1985)

164 Citations

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