World's Best Scientists 2026 revealed!
Christian Schulz

Christian Schulz

D-Index & Metrics

Computer Science

D-Index
31
Citations
3832
World Ranking
13708
National Ranking
661

Overview

Christian Schulz is affiliated with Heidelberg University in Germany. Their research predominantly spans computer science and engineering, with significant contributions in the fields of computer networks and communications, computational theory and mathematics, computer vision and pattern recognition, artificial intelligence, and electrical and electronic engineering.

Schulz's main research topics include graph theory and algorithms, VLSI and FPGA design techniques, interconnection networks and systems, data management and algorithms, complexity and algorithms in graphs, advanced graph theory research, and advanced database systems and queries.

Notable recent publications by Christian Schulz include:

  • "The future is big graphs", 2021, Communications of the ACM
  • "High-Quality Hypergraph Partitioning", 2022, ACM Journal of Experimental Algorithmics
  • "More Recent Advances in (Hyper)Graph Partitioning", 2022, ACM Computing Surveys
  • "Recent Advances in Fully Dynamic Graph Algorithms - A Quick Reference Guide", 2022, ACM Journal of Experimental Algorithmics
  • "High-Quality Hypergraph Partitioning", 2020, arXiv (Cornell University)

Frequent co-authors collaborating with Schulz include Ernestine Großmann, Monika Henzinger, Darren Strash, Sebastian Schlag, and Marcelo Fonseca Faraj.

The scientist has published extensively in various venues such as:

  • arXiv (Cornell University)
  • Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • ACM Journal of Experimental Algorithmics
  • Society for Industrial and Applied Mathematics eBooks
  • Journal of Graph Algorithms and Applications

Best Publications

  • Recent Advances in Graph Partitioning

    Aydın Buluç;Henning Meyerhenke;Ilya Safro;Peter Sanders

  • Think Locally, Act Globally: Highly Balanced Graph Partitioning

    Peter Sanders;Christian Schulz

  • Engineering multilevel graph partitioning algorithms

    Peter Sanders;Christian Schulz

  • The future is big graphs: a community view on graph processing systems

    Sherif Sakr;Angela Bonifati;Hannes Voigt;Alexandru Iosup

  • Benchmarking for Graph Clustering and Partitioning

    David A. Bader;Henning Meyerhenke;Peter Sanders;Christian Schulz

  • Distributed evolutionary graph partitioning

    Peter Sanders;Christian Schulz

  • High-Quality Hypergraph Partitioning

    Unknown

  • Parallel Graph Partitioning for Complex Networks

    Henning Meyerhenke;Peter Sanders;Christian Schulz

  • Engineering a scalable high quality graph partitioner

    Manuel Holtgrewe;Peter Sanders;Christian Schulz

  • More Recent Advances in (Hyper)Graph Partitioning

    Unknown

  • Exploiting citation networks for large-scale author name disambiguation

    Christian Schulz;Amin Mazloumian;Alexander M Petersen;Orion Penner

  • Advanced Coarsening Schemes for Graph Partitioning

    Ilya Safro;Peter Sanders;Christian Schulz

  • Recent Advances in Graph Partitioning

    Aydin Buluc;Henning Meyerhenke;Ilya Safro;Peter Sanders

  • Finding Near-Optimal Independent Sets at Scale

    Sebastian Lamm;Peter Sanders;Christian Schulz;Darren Strash

  • High Quality Graph Partitioning

    Christian Schulz

  • k -way Hypergraph Partitioning via n -Level Recursive Bisection.

    Sebastian Schlag;Vitali Henne;Tobias Heuer;Henning Meyerhenke

  • Recent Advances in Fully Dynamic Graph Algorithms – A Quick Reference Guide

    Unknown

  • Partitioning Complex Networks via Size-Constrained Clustering

    Henning Meyerhenke;Peter Sanders;Christian Schulz

  • Finding near-optimal independent sets at scale

    Sebastian Lamm;Peter Sanders;Christian Schulz;Darren Strash

  • Exactly Solving the Maximum Weight Independent Set Problem on Large Real-World Graphs

    Sebastian Lamm;Christian Schulz;Darren Strash;Robert Williger

  • GPU computing in discrete optimization. Part II: Survey focused on routing problems

    Christian Ferdinand Schulz;Geir Hasle;André R. Brodtkorb;Trond Runar Hagen

  • GPU Computing in Discrete Optimization – Part I: Introduction to the GPU

    André R. Brodtkorb;Trond Runar Hagen;Christian Ferdinand Schulz;Geir Hasle

  • Communication-Free Massively Distributed Graph Generation

    Daniel Funke;Sebastian Lamm;Peter Sanders;Christian Schulz

  • High-Quality Shared-Memory Graph Partitioning

    Yaroslav Akhremtsev;Peter Sanders;Christian Schulz

Frequent Co-Authors

Peter Sanders
Peter Sanders Karlsruhe Institute of Technology
Monika Henzinger
Monika Henzinger Institute of Science and Technology Austria
Renato F. Werneck
Renato F. Werneck Microsoft (United States)
Aydin Buluc
Aydin Buluc Lawrence Berkeley National Laboratory
Alexandru Iosup
Alexandru Iosup Vrije Universiteit Amsterdam
Adriana Iamnitchi
Adriana Iamnitchi Maastricht University
Matei Ripeanu
Matei Ripeanu University of British Columbia
Peter Boncz
Peter Boncz Centrum Wiskunde & Informatica
M. Tamer Özsu
M. Tamer Özsu University of Waterloo
Walid G. Aref
Walid G. Aref Purdue University West Lafayette

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