World's Best Scientists 2026 revealed!
Gerik Scheuermann

Gerik Scheuermann

D-Index & Metrics

Computer Science

D-Index
42
Citations
7226
World Ranking
8412
National Ranking
413

Gerik Scheuermann 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 Gerik Scheuermann 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: 312 publications — 76th percentile

76% of scientists in this discipline score the same or lower.

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

Gerik Scheuermann 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 Gerik Scheuermann 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: 42 D-Index — 43rd percentile

43% of scientists in this discipline score the same or lower.

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

Overview

Gerik Scheuermann is affiliated with Leipzig University in Germany. Their research primarily spans the field of Computer Science, with a focus on several subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Geography, Planning and Development, Computer Graphics and Computer-Aided Design, and Computational Theory and Mathematics.

The scientist's work covers a variety of specialized topics, notably:

  • Data Visualization and Analytics
  • Computer Graphics and Visualization Techniques
  • Topological and Geometric Data Analysis
  • Geographic Information Systems Studies
  • Virtual Reality Applications and Impacts
  • Acute Ischemic Stroke Management
  • Computational Physics and Python Applications

Gerik Scheuermann has contributed research to a range of academic venues, with a concentration of publications in:

  • arXiv (Cornell University)
  • IEEE Computer Graphics and Applications
  • Eurographics
  • IEEE Transactions on Visualization and Computer Graphics
  • Computer Graphics Forum

Recent notable publications connected with Scheuermann include:

  • "Uncertainty-aware Visualization in Medical Imaging - A Survey," 2021, Computer Graphics Forum
  • "Visualizing Multimodal Deep Learning for Lesion Prediction," 2021, IEEE Computer Graphics and Applications
  • "MDsrv: visual sharing and analysis of molecular dynamics simulations," 2022, Nucleic Acids Research
  • "Visual Cue Based Corrective Feedback for Motor Skill Training in Mixed Reality: A Survey," 2022, IEEE Transactions on Visualization and Computer Graphics
  • "Visualization of Tensor Fields in Mechanics," 2021, Computer Graphics Forum

Throughout their career, Scheuermann frequently collaborates with several coauthors, including:

  • Christina Gillmann
  • Felix Raith
  • Dorothee Saur
  • Chiara Hergl
  • Robin G. C. Maack

Best Publications

  • Data, Information, and Knowledge in Visualization

    Min Chen;D. Ebert;H. Hagen;R.S. Laramee

  • On Close and Distant Reading in Digital Humanities: A Survey and Future Challenges

    Stefan Jänicke;Greta Franzini;Muhammad Faisal Cheema;Gerik Scheuermann

  • Detection and visualization of closed streamlines in planar flows

    T. Wischgoll;G. Scheuermann

  • Clifford Fourier transform on vector fields

    J. Ebling;G. Scheuermann

  • Continuous topology simplification of planar vector fields

    Xavier Tricoche;Gerik Scheuermann;Hans Hagen

  • A topology simplification method for 2D vector fields

    Xavier Tricoche;Gerik Scheuermann;Hans Hagen

  • A survey of topology-based methods in visualization

    C. Heine;H. Leitte;M. Hlawitschka;F. Iuricich

  • Topology Tracking for the Visualization of Time-Dependent Two-Dimensional Flows

    Xavier Tricoche;Thomas Wischgoll;Gerik Scheuermann;Hans Hagen

  • Visualizing nonlinear vector field topology

    G. Scheuermann;H. Kruger;M. Menzel;A.P. Rockwood

  • Visual Text Analysis in Digital Humanities

    Stefan Jänicke;Greta Franzini;Muhammad Faisal Cheema;Gerik Scheuermann

  • Tracking of Vector Field Singularities in Unstructured 3D Time-Dependent Datasets

    Christoph Garth;Xavier Tricoche;Gerik Scheuermann

  • Surface techniques for vortex visualization

    Christoph Garth;Xavier Tricoche;Tobias Salzbrunn;Tom Bobach

  • Multifield visualization using local statistical complexity

    Heike Janicke;Alexander Wiebel;Gerik Scheuermann;Wolfgang Kollmann

  • Clifford convolution and pattern matching on vector fields

    J. Ebling;G. Scheuermann

  • Streamline Predicates

    T. Salzbrunn;G. Scheuermann

  • Visualization of higher order singularities in vector fields

    Gerik Scheuermann;Hans Hagen;Heinz Krüger;Martin Menzel

  • The State of the Art in Flow Visualization: Partition-Based Techniques

    Tobias Salzbrunn;Heike Janicke;Thomas Wischgoll;Gerik Scheuermann

  • Brushing of Attribute Clouds for the Visualization of Multivariate Data

    H. Janicke;M. Bottinger;G. Scheuermann

  • Pathline predicates and unsteady flow structures

    Tobias Salzbrunn;Christoph Garth;Gerik Scheuermann;Joerg Meyer

  • Vector and tensor field topology simplification, tracking, and visualization

    Xavier Tricoche;Gerik Scheuermann;Hans Hagen;Stefan Clauss

Frequent Co-Authors

Hans Hagen
Hans Hagen Technical University of Kaiserslautern
Bernd Hamann
Bernd Hamann University of California, Davis
Peter F. Stadler
Peter F. Stadler Leipzig University
Kenneth I. Joy
Kenneth I. Joy University of California, Davis
Thomas R. Knösche
Thomas R. Knösche Max Planck Society
Olaf Kolditz
Olaf Kolditz TU Dresden
Marc Tittgemeyer
Marc Tittgemeyer Max Planck Society
Ivo L. Hofacker
Ivo L. Hofacker University of Vienna
Martin Middendorf
Martin Middendorf Leipzig University
Alfred Anwander
Alfred Anwander Max Planck Society

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