What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Algorithm
- Geometry
The scientist’s investigation covers issues in Algorithm, Computer vision, Artificial intelligence, Polygon mesh and Theoretical computer science.
Enrico Puppo interconnects Raised-relief map and Data structure in the investigation of issues within Algorithm.
The study incorporates disciplines such as Visualization and Computer graphics in addition to Computer vision.
Enrico Puppo has included themes like Geometry and Computational science in his Visualization study.
His studies deal with areas such as Surface, Computer graphics, Point location and T-vertices as well as Polygon mesh.
His Theoretical computer science research includes elements of Dynamic problem, Graph, Visibility graph, Time complexity and Steiner tree problem.
His most cited work include:
- Quad-Mesh Generation and Processing: A Survey (192 citations)
- Speeding up isosurface extraction using interval trees (181 citations)
- Hierarchical triangulation for multiresolution surface description (158 citations)
What are the main themes of his work throughout his whole career to date?
Enrico Puppo focuses on Algorithm, Artificial intelligence, Polygon mesh, Data structure and Computer graphics.
His research integrates issues of Representation, Level of detail, Surface and Raised-relief map in his study of Algorithm.
His studies in Artificial intelligence integrate themes in fields like Delaunay triangulation, Set, Computer vision and Pattern recognition.
In his research on the topic of Polygon mesh, Adjacency list and Geometry is strongly related with Topology.
His Data structure research is multidisciplinary, incorporating perspectives in Object, Discrete mathematics, Theoretical computer science and Directed acyclic graph.
His Computer graphics research incorporates elements of Parametrization, Interactive visualization, Visualization and T-vertices.
He most often published in these fields:
- Algorithm (32.85%)
- Artificial intelligence (24.82%)
- Polygon mesh (23.36%)
What were the highlights of his more recent work (between 2013-2021)?
- Artificial intelligence (24.82%)
- Polygon mesh (23.36%)
- Algorithm (32.85%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Artificial intelligence, Polygon mesh, Algorithm, Surface and Computer vision.
His work on Motion capture and Scale space as part of general Artificial intelligence study is frequently connected to Kinematics and Movement quality, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
The concepts of his Polygon mesh study are interwoven with issues in Computing Methodologies, Vector field and Computational science.
His research in Algorithm is mostly focused on Computation.
His Surface research is multidisciplinary, relying on both Voronoi diagram, Grid and Topology.
His work carried out in the field of Computer vision brings together such families of science as Dynamic time warping, Data visualization and Pattern recognition.
Between 2013 and 2021, his most popular works were:
- Frame fields: anisotropic and non-orthogonal cross fields (52 citations)
- Extraction of the Quad Layout of a Triangle Mesh Guided by Its Curve Skeleton (27 citations)
- Statics Aware Grid Shells (27 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Algorithm
- Topology
His primary scientific interests are in Surface, Computer graphics, Topology, Polygon mesh and Multimedia.
As part of his studies on Surface, Enrico Puppo often connects relevant areas like Algorithm.
His Algorithm research integrates issues from Cover, Stability, Voronoi diagram, Structural engineering and Grid.
His work deals with themes such as Parametrization and Gravitational singularity, which intersect with Computer graphics.
His Topology study deals with Geometry intersecting with Skeleton, Volume mesh and Structure.
His Polygon mesh research incorporates themes from Topology, Euclidean space and Metric.
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