Demo Data from EDBT 2026 / reviewers in the wild / expert
Yuval Levy
dblp:27/6079
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 1997
0000-0002-0525-3395ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 1Human-computer interaction and ubiquitous computing · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer graphics and multimedia
1 paper |
Visualization and visual analytics · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Visualization and visual analytics › topological data analysis
tensor field topology |
0.0 | 1 | 1997 | The Topology of Symmetric, Second-Order 3D Tensor Fields · IEEE Trans. Vis. Comput. Graph. 1997 |
Visualization and visual analytics › scientific visualization
tensor field visualization |
0.0 | 1 | 1997 | The Topology of Symmetric, Second-Order 3D Tensor Fields · IEEE Trans. Vis. Comput. Graph. 1997 |
Visualization and visual analytics › topological data analysis
vector field topology |
0.0 | 1 | 1997 | The Topology of Symmetric, Second-Order 3D Tensor Fields · IEEE Trans. Vis. Comput. Graph. 1997 |
Methods — techniques the papers use, named apart from their topics
eigenvector field analysis · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1997 | Singularities in nonuniform tensor fields
Yingmei Lavin, Yuval Levy, Lambertus Hesselink |
IEEE Visualization | 2 |
| 1997 | The Topology of Symmetric, Second-Order 3D Tensor FieldsabstractThe authors study the topology of symmetric, second-order tensor fields. The results of the study can be readily extended to include general tensor fields through linear combination of symmetric tensor fields and vector fields. The goal is to represent their complex structure by a simple set of carefully chosen points, lines, and surfaces analogous to approaches in vector field topology. They extract topological skeletons of the eigenvector fields and use them for a compact, comprehensive description of the tensor field. Their approach is based on the premise: "analyze, then visualize". The basic constituents of tensor topology are the degenerate points, or points where eigenvalues are equal to each other. Degenerate points play a similar role as critical points in vector fields. In tensor fields they identify two kinds of elementary degenerate points, which they call wedge points and trisector points. They can combine to form more familiar singularities-such as saddles, nodes, centers, or foci. However, these are generally unstable structures in tensor fields. Based on the notions developed for 2D tensor fields, they extend the theory to include 3D degenerate points. Examples are given on the use of tensor field topology for the interpretation of physical systems. Lambertus Hesselink, Yuval Levy, Yingmei Lavin |
IEEE Trans. Vis. Comput. Graph. | 2 |