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Henning Meyerhenke

59 papers hereh-index 314.1k citations130 works total

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

author position
  • first author3
  • middle author20
  • last author33

Across the 56 of 59 papers where every author was matched, so the position is known.

fields
  • cs.DS29
  • cs.DC14
  • cs.SI11
  • cs.DM1
  • cs.MS1
  • math.DG1
same name
  • Henning Meyerhenke — 5 papers, h 3
  • Henning Meyerhenke — 2 papers, h 1
  • Henning Meyerhenke — 1 paper
  • Henning Meyerhenke — 1 paper, h 0
  • Henning Meyerhenke — 1 paper, h 2

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
20132023
most citedMathematical Foundations of the GraphBLAS

187 citations · 581 across the 39 of their papers we have counts for

collaborators
Showing 2018Show all

4 papers · 1 filter

cs.DS2018★ 2 cited

Scalable Katz Ranking Computation in Large Static and Dynamic Graphs

Alexander van der Grinten, Elisabetta Bergamini, Oded Green +2

Network analysis defines a number of centrality measures to identify the most central nodes in a network. Fast computation of those measures is a major challenge in algorithmic net…

cs.DC2018

Balanced k-means for Parallel Geometric Partitioning

Moritz von Looz, Charilaos Tzovas, Henning Meyerhenke

Mesh partitioning is an indispensable tool for efficient parallel numerical simulations. Its goal is to minimize communication between the processes of a simulation while achieving…

cs.DC2018

Topology-induced Enhancement of Mappings

Roland Glantz, Maria Predari, Henning Meyerhenke

In this paper we propose a new method to enhance a mapping μ(⋅) of a parallel application's computational tasks to the processing elements (PEs) of a parallel computer. The i…

cs.DS2018

Updating Dynamic Random Hyperbolic Graphs in Sublinear Time

Moritz von Looz, Henning Meyerhenke

Generative network models play an important role in algorithm development, scaling studies, network analysis, and realistic system benchmarks for graph data sets. A complex network…

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