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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 2022Show all

4 papers · 1 filter

cs.SI2022★ 3 cited

Algorithms for Large-scale Network Analysis and the NetworKit Toolkit

Eugenio Angriman, Alexander van der Grinten, Michael Hamann +2

The abundance of massive network data in a plethora of applications makes scalable analysis algorithms and software tools necessary to generate knowledge from such data in reasonab…

cs.DS2022★ 7 cited

More Recent Advances in (Hyper)Graph Partitioning

Ümit V. Çatalyürek, Karen D. Devine, Marcelo Fonseca Faraj +8

In recent years, significant advances have been made in the design and evaluation of balanced (hyper)graph partitioning algorithms. We survey trends of the last decade in practical…

cs.SI2022

Interactive Visualization of Protein RINs using NetworKit in the Cloud

Eugenio Angriman, Fabian Brandt-Tumescheit, Leon Franke +2

Network analysis has been applied in diverse application domains. In this paper, we consider an example from protein dynamics, specifically residue interaction networks (RINs). In…

cs.DC2022

Fast Dynamic Updates and Dynamic SpGEMM on MPI-Distributed Graphs

Alexander van der Grinten, Geert Custers, Duy Le Thanh +1

Sparse matrix multiplication (SpGEMM) is a fundamental kernel used in many diverse application areas, both numerical and discrete. For example, many algebraic graph algorithms rely…

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