World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
5905
World Ranking
9822
National Ranking
177

Overview

Michael Burch is affiliated with Eindhoven University of Technology in the Netherlands. Their research primarily spans across the field of Computer Science, with substantial contributions in several subfields including Computer Vision and Pattern Recognition, Human-Computer Interaction, Artificial Intelligence, Experimental and Cognitive Psychology, and Signal Processing.

The scientist's work covers key topics such as Data Visualization and Analytics, Gaze Tracking and Assistive Technology, Video Analysis and Summarization, Visual and Cognitive Learning Processes, Multimedia Communication and Technology, Complex Network Analysis Techniques, and Geographic Information Systems Studies.

Frequent publication venues for Michael Burch include:

  • Journal of Visualization
  • ACM Symposium on Eye Tracking Research and Applications
  • 2020 24th International Conference Information Visualisation (IV)
  • Knowledge-Based Systems
  • IEEE Access

They have collaborated regularly with coauthors such as Marco Schmid, Günter Wallner, Huub van de Wetering, Kuno Kurzhals, and Daniel Weiskopf.

Recent papers by Michael Burch include:

  • "ConfusionVis: Comparative evaluation and selection of multi-class classifiers based on confusion matrices," 2022, Knowledge-Based Systems
  • "The State of the Art in Empirical User Evaluation of Graph Visualizations," 2020, IEEE Access
  • "Dynamic graph exploration by interactively linked node-link diagrams and matrix visualizations," 2021, Visual Computing for Industry Biomedicine and Art
  • "What more than a hundred project groups reveal about teaching visualization," 2020, Journal of Visualization
  • "The Power of Linked Eye Movement Data Visualizations," 2021, ACM Symposium on Eye Tracking Research and Applications

In addition to journal and conference articles, Michael Burch has contributed to book publications, including the title "Dashboard Design" published by River Publishers eBooks in 2023.

Best Publications

  • A Taxonomy and Survey of Dynamic Graph Visualization

    Fabian Beck;Michael Burch;Stephan Diehl;Daniel Weiskopf

  • State-of-the-Art of Visualization for Eye Tracking Data

    Tanja Blascheck;Kuno Kurzhals;Michael Raschke;Michael Burch

  • Visualization of Eye Tracking Data: A Taxonomy and Survey

    Tanja Blascheck;Kuno Kurzhals;Michael Raschke;Michael Burch

  • The State of the Art in Visualizing Dynamic Graphs

    Fabian Beck;Michael Burch;Stephan Diehl;Daniel Weiskopf

  • Visual Analytics Methodology for Eye Movement Studies

    G. Andrienko;N. Andrienko;M. Burch;D. Weiskopf

  • Parallel Edge Splatting for Scalable Dynamic Graph Visualization

    M. Burch;C. Vehlow;F. Beck;S. Diehl

  • Evaluation of Traditional, Orthogonal, and Radial Tree Diagrams by an Eye Tracking Study

    M. Burch;N. Konevtsova;J. Heinrich;M. Hoeferlin

  • User performance and reading strategies for metro maps: An eye tracking study

    Rudolf Netzel;Bettina Ohlhausen;Kuno Kurzhals;Robin Woods

  • Concentri Cloud: Word Cloud Visualization for Multiple Text Documents

    Steffen Lohmann;Florian Heimerl;Fabian Bopp;Michael Burch

  • Timeradartrees: visualizing dynamic compound digraphs

    M. Burch;S. Diehl

  • Visualizing the evolution of compound digraphs with TimeArcTrees

    Martin Greilich;Michael Burch;Stephan Diehl

  • Timeline trees: visualizing sequences of transactions in information hierarchies

    Michael Burch;Fabian Beck;Stephan Diehl

  • Gaze Stripes: Image-Based Visualization of Eye Tracking Data

    Kuno Kurzhals;Marcel Hlawatsch;Florian Heimerl;Michael Burch

  • Uncovering Strengths and Weaknesses of Radial Visualizations---an Empirical Approach

    S Diehl;F Beck;M Burch

  • RadCloud: Visualizing Multiple Texts with Merged Word Clouds

    Michael Burch;Steffen Lohmann;Fabian Beck;Nils Rodriguez

  • Visual data mining in software archives

    Michael Burch;Stephan Diehl;Peter Weißgerber

  • ConfusionVis: Comparative evaluation and selection of multi-class classifiers based on confusion matrices

    Unknown

  • AOI rivers for visualizing dynamic eye gaze frequencies

    Michael Burch;Andreas Kull;Daniel Weiskopf

  • Towards an Aesthetic Dimensions Framework for Dynamic Graph Visualisations

    Fabian Beck;Michael Burch;Stephan Diehl

  • Evaluating visual analytics with eye tracking

    Kuno Kurzhals;Brian Fisher;Michael Burch;Daniel Weiskopf

  • Matching Application Requirements with Dynamic Graph Visualization Profiles

    Fabian Beck;Michael Burch;Stephan Diehl

Frequent Co-Authors

Daniel Weiskopf
Daniel Weiskopf University of Stuttgart
Stephan Diehl
Stephan Diehl University of Trier
Klaus Mueller
Klaus Mueller Stony Brook University
Thomas Ertl
Thomas Ertl University of Stuttgart
Gennady Andrienko
Gennady Andrienko Fraunhofer Institute for Intelligent Analysis and Information Systems
Natalia Andrienko
Natalia Andrienko Fraunhofer Institute for Intelligent Analysis and Information Systems
Helen C. Purchase
Helen C. Purchase Monash University
Oliver Deussen
Oliver Deussen University of Konstanz
Juliana Freire
Juliana Freire New York University
Eric Lyons
Eric Lyons University of Arizona

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