Demo Data from SIGIR 2026 / reviewers in the wild / expert
Rex A. Dwyer
dblp:51/6902
· DBLP profile ↗
10ranked-venue papers
10as first author
0since 2021 · last 2000
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 5 · 5 first-authorTheory of computation · 5 · 5 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
3 papers |
Computational geometry · 91% Algorithms and data structures · 9% |
Topics — the 6 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computational geometry
geometric data structures |
0.0 | 3 | 1994 | Maximal Empty Ellipsoids · SODA 1994 Higher-Dimensional Voronoi Diagrams in Linear Expected Time · SCG 1989 A Simple Divide-and-Conquer Algorithm for Computing Delaunay Triangulations in O(n log log n) Expected Time · SCG 1986 |
Computational geometry
geometric optimization |
0.0 | 1 | 1994 | Maximal Empty Ellipsoids · SODA 1994 |
Computational geometry
voronoi diagram |
0.0 | 1 | 1989 | Higher-Dimensional Voronoi Diagrams in Linear Expected Time · SCG 1989 |
Computational geometry › triangulation
delaunay triangulation |
0.0 | 1 | 1986 | A Simple Divide-and-Conquer Algorithm for Computing Delaunay Triangulations in O(n log log n) Expected Time · SCG 1986 |
Algorithms and data structures
randomized algorithms |
0.0 | 2 | 1989 | Higher-Dimensional Voronoi Diagrams in Linear Expected Time · SCG 1989 A Simple Divide-and-Conquer Algorithm for Computing Delaunay Triangulations in O(n log log n) Expected Time · SCG 1986 |
Algorithms and data structures › analysis of algorithms
expected complexity |
0.0 | 1 | 1986 | A Simple Divide-and-Conquer Algorithm for Computing Delaunay Triangulations in O(n log log n) Expected Time · SCG 1986 |
Methods — techniques the papers use, named apart from their topics
computational geometry · 0.0uniform distribution · 0.0probabilistic analysis · 0.0divide-and-conquer · 0.0distribution-sensitive analysis · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2000 | Voronoi Diagrams and Convex Hulls of Random Moving Points
Rex A. Dwyer |
Discret. Comput. Geom. | 1 |
| 1997 | Voronoi Diagrams of Random Lines and Flats
Rex A. Dwyer |
Discret. Comput. Geom. | 1 |
| 1995 | The Expected Size of the Sphere-of-influence Graph
Rex A. Dwyer |
Comput. Geom. | 1 |
| 1994 | Maximal Empty Ellipsoids
Rex A. Dwyer, William F. Eddy |
SODA | 1 |
| 1993 | Maximal and Minimal Balls
Rex A. Dwyer |
Comput. Geom. | 1 |
| 1991 | Convex hulls of samples from spherically symmetric distributions
Rex A. Dwyer |
Discret. Appl. Math. | 1 |
| 1991 | Higher-Dimensional Voronoi Diagrams in Linear Expected Time
Rex A. Dwyer |
Discret. Comput. Geom. | 1 |
| 1989 | Higher-Dimensional Voronoi Diagrams in Linear Expected TimeabstractThis work is the first to validate theoretically the suspicions of many researchers — that the “average” Voronoi diagram is combinatorially quite simple and can be constructed quickly. Specifically, assuming that dimension d is fixed, and that n input points are chosen independently from the uniform distribution on the unit d-ball, it is proved that Rex A. Dwyer |
SCG | 1 |
| 1987 | A Faster Divide-and-Conquer Algorithm for Constructing Delaunay Triangulations
Rex A. Dwyer |
Algorithmica | 1 |
| 1986 | A Simple Divide-and-Conquer Algorithm for Computing Delaunay Triangulations in O(n log log n) Expected TimeabstractWe present a modification to the divide-and-conquer algorithm of Guibas & Stolfi [GS] for computing the Delaunay triangulation of n sites in the plane. The change reduces its T(n log n) expected running time to O(n log n) for a large class of distributions which includes the uniform distribution in the unit square. The modified algorithm is significantly easier to implement than the optimal linear-expected-time algorithm of Bentley, Weide & Yao [BWY]. Unlike the incremental methods of Ohya, Iri & Murota [OIM] and Maus [M] it has optimal O(n log log n) worst-case performance. The improvement extends to the composition of the Delaunay triangulation in the Lp metric for 1 Rex A. Dwyer |
SCG | 1 |