World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
5905
World Ranking
9821
National Ranking
177

Michael Burch publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Michael Burch sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 193 publications — 44th percentile

44% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Michael Burch D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Michael Burch sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 39 D-Index — 33rd percentile

33% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

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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