Henning Meyerhenke

Henning Meyerhenke

Humboldt-Universität zu Berlin

H-index: 31

Europe-Germany

About Henning Meyerhenke

Henning Meyerhenke, With an exceptional h-index of 31 and a recent h-index of 23 (since 2020), a distinguished researcher at Humboldt-Universität zu Berlin, specializes in the field of Scalable graph algorithms, algorithmic network analysis, combinatorial scientific computing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Scalable Graph Mining and Learning (Dagstuhl Seminar 23491)

4 Open Problems 4.1 Open Problems in Benchmarking Graph Learning via Synthetic Graph Generation

5 Working Groups 5.1 Working Group on Causal Representation Learning

The global interdependence patterns of extreme-rainfall events

Algorithms for large-scale network analysis and the NetworKit toolkit

Mapping tree‐shaped workflows on systems with different memory sizes and processor speeds

Methodology of Algorithm Engineering

Greedy optimization of resistance-based graph robustness with global and local edge insertions

Henning Meyerhenke Information

University

Position

Professor of Computer Science

Citations(all)

4208

Citations(since 2020)

2419

Cited By

2738

hIndex(all)

31

hIndex(since 2020)

23

i10Index(all)

62

i10Index(since 2020)

47

Email

University Profile Page

Humboldt-Universität zu Berlin

Google Scholar

View Google Scholar Profile

Henning Meyerhenke Skills & Research Interests

Scalable graph algorithms

algorithmic network analysis

combinatorial scientific computing

Top articles of Henning Meyerhenke

Title

Journal

Author(s)

Publication Date

Scalable Graph Mining and Learning (Dagstuhl Seminar 23491)

Danai Koutra

Henning Meyerhenke

Ilya Safro

Fabian Brandt-Tumescheit

2024

4 Open Problems 4.1 Open Problems in Benchmarking Graph Learning via Synthetic Graph Generation

Scalable Graph Mining and Learning

Danai Koutra

Henning Meyerhenke

Ilya Safro

2024/4

5 Working Groups 5.1 Working Group on Causal Representation Learning

Scalable Graph Mining and Learning

Danai Koutra

Henning Meyerhenke

Ilya Safro

2024/4

The global interdependence patterns of extreme-rainfall events

Zhen Su

Henning Meyerhenke

Jürgen Kurths

2024/3/7

Algorithms for large-scale network analysis and the NetworKit toolkit

Eugenio Angriman

Alexander van der Grinten

Michael Hamann

Henning Meyerhenke

Manuel Penschuck

2023/1/18

Mapping tree‐shaped workflows on systems with different memory sizes and processor speeds

Concurrency and Computation: Practice and Experience

Svetlana Kulagina

Henning Meyerhenke

Anne Benoit

2023/11/15

Methodology of Algorithm Engineering

arXiv preprint arXiv:2310.18979

Jan Mendling

Henrik Leopold

Henning Meyerhenke

Benoît Depaire

2023/10/29

Greedy optimization of resistance-based graph robustness with global and local edge insertions

Social Network Analysis and Mining

Maria Predari

Lukas Berner

Robert Kooij

Henning Meyerhenke

2023/10/12

More recent advances in (hyper) graph partitioning

Ümit Çatalyürek

Karen Devine

Marcelo Faraj

Lars Gottesbüren

Tobias Heuer

...

2023/3/2

Computing top-k closeness centrality in fully dynamic graphs

Eugenio Angriman

Patrick Bisenius

Elisabetta Bergamini

Henning Meyerhenke

2022/7/20

Faster greedy optimization of resistance-based graph robustness

Maria Predari

Robert Kooij

Henning Meyerhenke

2022/11/10

Introduction to GraphBLAS

Jeremy Kepner

Peter Aaltonen

David Bader

Aydin Buluc

Franz Franchetti

...

2022/7/20

Network Sparsification via Degree-and Subgraph-based Edge Sampling

Zhen Su

Jürgen Kurths

Henning Meyerhenke

2022/11/10

A Batch-dynamic Suitor Algorithm for Approximating Maximum Weighted Matching

ACM Journal of Experimental Algorithmics (JEA)

Eugenio Angriman

Michał Boroń

Henning Meyerhenke

2022/7/7

An MPI-Parallel Algorithm for Static and Dynamic Top-k Harmonic Centrality

Alexander van der Grinten

Geert Custers

Duy Le Thanh

Henning Meyerhenke

2022/11/2

Scalable Katz Ranking Computation in Large Static and Dynamic Graphs

ACM Journal of Experimental Algorithmics (JEA)

Alexander Grinten van der

Elisabetta Bergamini

Oded Green

David A Bader

Henning Meyerhenke

2022/7/7

Fast Dynamic Updates and Dynamic SpGEMM on MPI-Distributed Graphs

Alexander van der Grinten

Geert Custers

Duy Le Thanh

Henning Meyerhenke

2022/9/5

Interactive Visualization of Protein RINs using NetworKit in the Cloud

Eugenio Angriman

Fabian Brandt-Tumescheit

Leon Franke

Alexander van der Grinten

Henning Meyerhenke

2022/5/30

Mapping tree-shaped workflows on memory-heterogeneous architectures

Svetlana Kulagina

Henning Meyerhenke

Anne Benoit

2022/8/22

Tarema: Adaptive resource allocation for scalable scientific workflows in heterogeneous clusters

Jonathan Bader

Lauritz Thamsen

Svetlana Kulagina

Jonathan Will

Henning Meyerhenke

...

2021/12/15

See List of Professors in Henning Meyerhenke University(Humboldt-Universität zu Berlin)

Co-Authors

H-index: 74
Peter Sanders

Peter Sanders

Karlsruher Institut für Technologie

H-index: 69
Andrew Lumsdaine

Andrew Lumsdaine

University of Washington

H-index: 66
David A. Bader

David A. Bader

New Jersey Institute of Technology

H-index: 64
Dorothea Wagner

Dorothea Wagner

Karlsruher Institut für Technologie

H-index: 53
Jeremy Kepner

Jeremy Kepner

Massachusetts Institute of Technology

H-index: 51
John R. Gilbert

John R. Gilbert

University of California, Santa Barbara

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