Demo Data from EDBT 2026 / reviewers in the wild / expert
Jim Ruppert
dblp:46/6692
· DBLP profile ↗
6ranked-venue papers
3as first author
0since 2021 · last 1995
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 4 · 2 first-authorGraphics, computer vision, multimedia, augmented reality and games · 2 · 1 first-author
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.
| Theoretical computer science
4 papers |
Computational geometry · 94% Computational complexity · 6% |
Topics — the 7 heaviest of 8, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computational geometry
mesh generation |
0.0 | 3 | 1995 | Dihedral Bounds for Mesh Generation in High Dimensions · SODA 1995 Linear-Size Nonobtuse Triangulation of Polygons · SCG 1994 A New and Simple Algorithm for Quality 2-Dimensional Mesh Generation · SODA 1993 |
Computational geometry › mesh generation
nonobtuse triangulation |
0.0 | 1 | 1994 | Linear-Size Nonobtuse Triangulation of Polygons · SCG 1994 |
Computational geometry › triangulation
polygon triangulation |
0.0 | 1 | 1994 | Linear-Size Nonobtuse Triangulation of Polygons · SCG 1994 |
Computational geometry › triangulation
delaunay triangulation |
0.0 | 1 | 1993 | A New and Simple Algorithm for Quality 2-Dimensional Mesh Generation · SODA 1993 |
Computational geometry › mesh generation
quality mesh generation |
0.0 | 1 | 1993 | A New and Simple Algorithm for Quality 2-Dimensional Mesh Generation · SODA 1993 |
Computational geometry
geometric modeling and processing |
0.0 | 1 | 1989 | On the Difficulty of Tetrahedralizing 3-Dimensional Non-Convex Polyhedra · SCG 1989 |
Computational geometry › mesh generation
tetrahedralization |
0.0 | 1 | 1989 | On the Difficulty of Tetrahedralizing 3-Dimensional Non-Convex Polyhedra · SCG 1989 |
Methods — techniques the papers use, named apart from their topics
recursive subdivision by disks · 0.0NP-completeness reduction · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1995 | Dihedral Bounds for Mesh Generation in High Dimensions
Marshall W. Bern, L. Paul Chew, David Eppstein, Jim Ruppert |
SODA | 4 |
| 1995 | Linear-Size Nonobtuse Triangulation of Polygons
Marshall W. Bern, Scott A. Mitchell, Jim Ruppert |
Discret. Comput. Geom. | 3 |
| 1994 | Linear-Size Nonobtuse Triangulation of PolygonsabstractWe give an algorithm for triangulating n-vertex polygonal regions (with holes) so that no angle in the final triangulation measures more than π/2. The number of triangles in the triangulation is only O(n), improving a previous bound of O(n2), and the worst-case running time is O(nlog2n). The basic technique used in the algorithm, recursive subdivision by disks, is new and may have wider application in mesh generation. We also report on an implementation of our algorithm. Marshall W. Bern, Scott A. Mitchell, Jim Ruppert |
SCG | 3 |
| 1993 | A New and Simple Algorithm for Quality 2-Dimensional Mesh Generation
Jim Ruppert |
SODA | 1 |
| 1992 | On the Difficulty of Triangulating Three-Dimensional Nonconvex Polyhedra
Jim Ruppert, Raimund Seidel |
Discret. Comput. Geom. | 1 |
| 1989 | On the Difficulty of Tetrahedralizing 3-Dimensional Non-Convex PolyhedraabstractA number of different polyhedral decomposition problems have previously been studied, most notably the problem of triangulating a simple polygon. We are concerned with the tetrahedralization problem: decomposing a 3-dimensional polyhedron into a set of non-overlapping tetrahedra whose vertices are chosen from the vertices of the polyhedron. It has previously been shown that some polyhedra cannot be tetrahedralized in this fashion. We show that the problem of deciding whether a given polyhedron can be tetrahedralized is NP-complete, and hence likely to be computationally intractable. The problem remains NP-complete when restricted to the case of star-shaped polyhedra. Various versions of the question of how many Steiner points are needed to tetrahedralize a polyhedron also turn out to be NP-complete. Jim Ruppert, Raimund Seidel |
SCG | 1 |