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Fabian Wagner

4 papers hereh-index 10320 citations21 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • last author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CC2
  • cs.DS2
same name
  • Fabian Wagner — 23 papers, h 12
  • Fabian Wagner — 21 papers, h 9
  • Fabian Wagner — 4 papers, h 2
  • Fabian Wagner — 2 papers, h 0
  • Fabian Wagner — 1 paper, h 2
  • Fabian Wagner — 1 paper, h 0

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20082013
most citedA Log-space Algorithm for Canonization of Planar Graphs

4 citations · 4 across the 1 of their papers we have counts for

collaborators

4 papers

cs.DS2013

Beating the Generator-Enumeration Bound for p-Group Isomorphism

David J. Rosenbaum, Fabian Wagner

We consider the group isomorphism problem: given two finite groups G and H specified by their multiplication tables, decide if G cong H. For several decades, the n^(log_p n + O(1))…

cs.CC2010

Restricted Space Algorithms for Isomorphism on Bounded Treewidth Graphs

Bireswar Das, Jacobo Toran, Fabian Wagner

The Graph Isomorphism problem restricted to graphs of bounded treewidth or bounded tree distance width are known to be solvable in polynomial time [Bod90],[YBFT99]. We give restric…

cs.CC2008★ 4 cited

A Log-space Algorithm for Canonization of Planar Graphs

Samir Datta, Nutan Limaye, Prajakta Nimbhorkar +2

Graph Isomorphism is the prime example of a computational problem with a wide difference between the best known lower and upper bounds on its complexity. We bridge this gap for a n…

cs.DS2008

The Isomorphism Problem for Planar 3-Connected Graphs is in Unambiguous Logspace

Thomas Thierauf, Fabian Wagner

The isomorphism problem for planar graphs is known to be efficiently solvable. For planar 3-connected graphs, the isomorphism problem can be solved by efficient parallel algorithms…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.