Demo Data from EDBT 2026 / reviewers in the wild / expert
John H. Muller
dblp:11/172
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1989
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1 · 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
1 paper |
Graph algorithms and graph theory · 83% Computational geometry · 17% |
Topics — the 6 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Graph algorithms and graph theory › graph classes › perfect graph
comparability graphs |
0.0 | 1 | 1989 | Incremental modular decomposition · J. ACM 1989 |
Graph algorithms and graph theory
graph decomposition |
0.0 | 1 | 1989 | Incremental modular decomposition · J. ACM 1989 |
Graph algorithms and graph theory
graph isomorphism |
0.0 | 1 | 1989 | Incremental modular decomposition · J. ACM 1989 |
Graph algorithms and graph theory › graph classes
graph recognition |
0.0 | 1 | 1989 | Incremental modular decomposition · J. ACM 1989 |
Graph algorithms and graph theory › graph decomposition
modular decomposition |
0.0 | 1 | 1989 | Incremental modular decomposition · J. ACM 1989 |
Computational geometry › intersection graphs
permutation graphs |
0.0 | 1 | 1989 | Incremental modular decomposition · J. ACM 1989 |
Methods — techniques the papers use, named apart from their topics
transitive orientation · 0.0incremental insertion · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1989 | Incremental modular decompositionabstractModular decomposition is a form of graph decomposition that has been discovered independently by researchers in graph theory, game theory, network theory, and other areas. This paper reduces the time needed to find the modular decomposition of a graph from Ω( n 3 ) to Ο( n 2 ). Together with a new algorithm for transitive orientation given in [21], this leads to fast new algorithms for a number of problems in graph recognition and isomorphism, including recognition of comparability graphs and permutation graphs. The new algorithm works by inserting each vertex successively into the decomposition tree, using Ο( n ) time to insert each vertex. John H. Muller, Jeremy P. Spinrad |
J. ACM | 1 |