Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

John H. Muller

dblp:11/172 · DBLP profile ↗
← Back
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

TopicWeightPapersLastEvidence papers
Graph algorithms and graph theory › graph classes › perfect graph
comparability graphs
0.011989
Incremental modular decomposition · J. ACM 1989
Graph algorithms and graph theory
graph decomposition
0.011989
Incremental modular decomposition · J. ACM 1989
Graph algorithms and graph theory
graph isomorphism
0.011989
Incremental modular decomposition · J. ACM 1989
Graph algorithms and graph theory › graph classes
graph recognition
0.011989
Incremental modular decomposition · J. ACM 1989
Graph algorithms and graph theory › graph decomposition
modular decomposition
0.011989
Incremental modular decomposition · J. ACM 1989
Computational geometry › intersection graphs
permutation graphs
0.011989
Incremental modular decomposition · J. ACM 1989

Methods — techniques the papers use, named apart from their topics

transitive orientation · 0.0incremental insertion · 0.0
YearPublicationVenuePosition
1989 Incremental modular decomposition
abstract
Modular 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. ACM1