World's Best Scientists 2026 revealed!
Ulrik Brandes

Ulrik Brandes

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Computer Science
Switzerland
2025

D-Index & Metrics

Computer Science

D-Index
58
Citations
22635
World Ranking
3538
National Ranking
80

Research.com Recognitions

  • 2025 - Research.com Computer Science in Switzerland Leader Award
  • 2022 - Research.com Computer Science in Switzerland Leader Award

Overview

Ulrik Brandes is affiliated with ETH Zurich in Switzerland and has a research portfolio that spans multiple areas within computer science and physics. Their work includes contributions to the study of complex networks, social influence, and data visualization, with a notable presence in both theoretical and applied research domains.

The fields in which Brandes has published extensively include Computer Science and Physics and Astronomy. Within these, they have a strong focus on specialized subfields such as Statistical and Nonlinear Physics, Artificial Intelligence, Economics and Econometrics, Geometry and Topology, and Computer Vision and Pattern Recognition.

Brandes' research topics cover a range of subjects with particular emphasis on complex network analysis and opinion dynamics. Key topics include:

  • Complex Network Analysis Techniques
  • Opinion Dynamics and Social Influence
  • Graph Theory and Applications
  • Sports Analytics and Performance
  • Data Visualization and Analytics
  • Sports Performance and Training
  • Archaeology and Ancient Environmental Studies

Their frequent collaborators include Gordana Marmulla, Rouzbeh Hasheminezhad, Simon Päpcke, Thomas Weitin, and Katharina Herget, with multiple coauthored publications among these colleagues.

Brandes has published in notable venues such as:

  • arXiv (Cornell University)
  • Journal of Sports Analytics
  • Lecture Notes in Computer Science
  • Chaos Solitons & Fractals
  • Journal of Archaeological Science

Notable recent papers authored or coauthored by Brandes include:

  • GraphFramEx: Towards Systematic Evaluation of Explainability Methods for Graph Neural Networks, 2022, arXiv (Cornell University)
  • Conformity versus credibility: A coupled rumor-belief model, 2023, Chaos Solitons & Fractals
  • Trace-elemental and multi-isotopic (Sr-Nd-Pb) discrimination of jade in the circum-Caribbean: Implications for pre-colonial inter-island exchange networks, 2021, Journal of Archaeological Science
  • Legislators' roll-call voting behavior increasingly corresponds to intervals in the political spectrum, 2020, Scientific Reports
  • Is cooperation sustained under increased mixing in evolutionary public goods games on networks?, 2022, Applied Mathematics and Computation

Brandes has also contributed to book publications, including the book Mixing Methods published in 2023 by Digital Humanities Research.

Best Publications

  • A faster algorithm for betweenness centrality

    Ulrik Brandes

  • On Modularity Clustering

    U. Brandes;D. Delling;M. Gaertler;R. Gorke

  • Network Analysis: Methodological Foundations

    Ulrik Brandes;Thomas Erlebach

  • On variants of shortest-path betweenness centrality and their generic computation ☆

    Ulrik Brandes

  • Analysis and Visualization of Social Networks.

    Ulrik Brandes;Dorothea Wagner

  • Experiments on Graph Clustering Algorithms

    Ulrik Brandes;Marco Gaertler;Dorothea Wagner

  • Centrality measures based on current flow

    Ulrik Brandes;Daniel Fleischer

  • Centrality Estimation in Large Networks

    Ulrik Brandes;Christian Pich

  • GraphML Progress Report Structural Layer Proposal

    Ulrik Brandes;Markus Eiglsperger;Ivan Herman;Michael Himsolt

  • Efficient generation of large random networks.

    Vladimir Batagelj;Ulrik Brandes

  • Longitudinal analysis of personal networks. The case of Argentinean migrants in Spain

    Miranda J. Lubbers;José Luis Molina;Jürgen Lerner;Ulrik Brandes

  • On finding graph clusterings with maximum modularity

    Ulrik Brandes;Daniel Delling;Marco Gaertler;Robert Görke

  • Eigensolver methods for progressive multidimensional scaling of large data

    Ulrik Brandes;Christian Pich

  • What is network science

    Ulrik Brandes;Garry Robins;Ann McCRANIE;Stanley Wasserman

  • Social network algorithmics

    Ulrik Brandes

  • Maintaining the duality of closeness and betweenness centrality

    Ulrik Brandes;Stephen P. Borgatti;Linton C. Freeman

  • Network Analysis: Methodological Foundations (Lecture Notes in Computer Science)

    Ulrik Brandes;Thomas Erlebach

  • Visual unrolling of network evolution and the analysis of dynamic discourse

    Ulrik Brandes;Steven R. Corman

  • Studying Social Networks: A Guide to Empirical Research

    Marina Hennig;Ulrik Brandes;Juergen Pfeffer;Ines Mergel

  • Explorations into the Visualization of Policy Networks

    Ulrik Brandes;Patrick Kenis;Jörg Raab;Volker Schneider

Frequent Co-Authors

Dorothea Wagner
Dorothea Wagner Karlsruhe Institute of Technology
Oliver Deussen
Oliver Deussen University of Konstanz
Falk Schreiber
Falk Schreiber University of Konstanz
Michael Kaufmann
Michael Kaufmann University of Tübingen
Michael R. Berthold
Michael R. Berthold University of Konstanz
Daniel Delling
Daniel Delling Apple (United States)
Roberto Tamassia
Roberto Tamassia Brown University
Tom A. B. Snijders
Tom A. B. Snijders University of Groningen
Christopher McCarty
Christopher McCarty University of Florida
Zoran Nikoloski
Zoran Nikoloski Max Planck Institute of Molecular Plant Physiology

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