World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
40
Citations
7496
World Ranking
9244
National Ranking
165

Elmar Eisemann 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 Elmar Eisemann 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: 241 publications — 60th percentile

60% of scientists in this discipline score the same or lower.

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

Elmar Eisemann 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 Elmar Eisemann 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: 40 D-Index — 37th percentile

37% of scientists in this discipline score the same or lower.

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

Overview

Elmar Eisemann is a researcher affiliated with Delft University of Technology in the Netherlands, specializing in computer science with a focus on computer vision, computer graphics, and related fields. Their body of work spans a range of topics including advanced imaging techniques, visual perception, and 3D shape modeling.

The primary fields of study for Elmar Eisemann include:

  • Computer Vision and Pattern Recognition
  • Computer Graphics and Computer-Aided Design
  • Atomic and Molecular Physics, and Optics
  • Cognitive Neuroscience
  • Computational Mechanics

Main research topics explored by Eisemann are:

  • Computer Graphics and Visualization Techniques
  • Advanced Vision and Imaging
  • Color Science and Applications
  • Visual perception and processing mechanisms
  • Data Visualization and Analytics
  • Color perception and design
  • 3D Shape Modeling and Analysis

Eisemann has published extensively in several leading venues, including:

  • Computer Graphics Forum
  • arXiv (Cornell University)
  • Proceedings of the ACM on Computer Graphics and Interactive Techniques
  • IEEE Transactions on Visualization and Computer Graphics
  • Computers & Graphics

Frequent co-authors working with Eisemann include:

  • Sylvia C. Pont
  • Klaus Hildebrandt
  • Thomas Höllt
  • Anna Vilanova
  • Cehao Yu

Recent publications by Elmar Eisemann cover diverse topics in computer vision and graphics. These include:

  • "Systems analysis and controlled malaria infection in Europeans and Africans elucidate naturally acquired immunity," 2021, Nature Immunology
  • "DeltaConv," 2022, ACM Transactions on Graphics
  • "A learning approach for river debris detection," 2022, International Journal of Applied Earth Observation and Geoinformation
  • "Deep vanishing point detection: Geometric priors make dataset variations vanish," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Multi-scale optical coherence tomography imaging and visualization of Vermeer's Girl with a Pearl Earring," 2020, Optics Express

Best Publications

  • Flash photography enhancement via intrinsic relighting

    Elmar Eisemann;Frédo Durand

  • GigaVoxels: ray-guided streaming for efficient and detailed voxel rendering

    Cyril Crassin;Fabrice Neyret;Sylvain Lefebvre;Elmar Eisemann

  • Approximated and User Steerable tSNE for Progressive Visual Analytics

    Nicola Pezzotti;Boudewijn P. F. Lelieveldt;Laurens van der Maaten;Thomas Hollt

  • Interactive Indirect Illumination Using Voxel Cone Tracing

    Cyril Crassin;Fabrice Neyret;Miguel Sainz;Simon Green

  • Visual analysis of mass cytometry data by hierarchical stochastic neighbour embedding reveals rare cell types

    Vincent van Unen;Thomas Höllt;Thomas Höllt;Nicola Pezzotti;Na Li

  • A 30 m Resolution Surface Water Mask Including Estimation of Positional and Thematic Differences Using Landsat 8, SRTM and OpenStreetMap: A Case Study in the Murray-Darling Basin, Australia

    Gennadii Donchyts;Jaap Schellekens;Hessel Winsemius;Elmar Eisemann

  • Real-time lens blur effects and focus control

    Sungkil Lee;Elmar Eisemann;Hans-Peter Seidel

  • DeepEyes: Progressive Visual Analytics for Designing Deep Neural Networks

    Nicola Pezzotti;Thomas Hollt;Jan Van Gemert;Boudewijn P.F. Lelieveldt

  • Fast scene voxelization and applications

    Elmar Eisemann;Xavier Décoret

  • Hierarchical stochastic neighbor embedding

    N. Pezzotti;T. Höllt;B. Lelieveldt;E. Eisemann

  • A perceptual model for disparity

    Piotr Didyk;Tobias Ritschel;Elmar Eisemann;Karol Myszkowski

  • Cytosplore: Interactive Immune Cell Phenotyping for Large Single-Cell Datasets

    T. Höllt;N. Pezzotti;V. van Unen;F. Koning

  • Real-Time Shadows

    Elmar Eisemann;Michael Schwarz;Ulf Assarsson;Michael Wimmer

  • Automatic photo-to-terrain alignment for the annotation of mountain pictures

    Lionel Baboud;Martin Cadik;Elmar Eisemann;Hans-Peter Seidel

  • A reconfigurable camera add-on for high dynamic range, multispectral, polarization, and light-field imaging

    Alkhazur Manakov;John F. Restrepo;Oliver Klehm;Ramon Hegedüs

  • Single-pass GPU solid voxelization for real-time applications

    Elmar Eisemann;Xavier Décoret

  • CNNs on surfaces using rotation-equivariant features

    Ruben Wiersma;Elmar Eisemann;Klaus Hildebrandt

  • Depth-of-field rendering with multiview synthesis

    Sungkil Lee;Elmar Eisemann;Hans-Peter Seidel

  • Sample based visibility for soft shadows using alias-free shadow maps

    Erik Sintorn;Elmar Eisemann;Ulf Assarsson

  • Physically-based real-time lens flare rendering

    Matthias Hullin;Elmar Eisemann;Hans-Peter Seidel;Sungkil Lee

  • A luminance-contrast-aware disparity model and applications

    Piotr Didyk;Tobias Ritschel;Elmar Eisemann;Karol Myszkowski

  • Proceedings of the Eurographics Symposium on Rendering

    Michael Manzke;Elmar Eisemann;Eugene Fiume

Frequent Co-Authors

Hans-Peter Seidel
Hans-Peter Seidel Max Planck Institute for Informatics
Anna Vilanova
Anna Vilanova Eindhoven University of Technology
Tobias Ritschel
Tobias Ritschel University College London
Karol Myszkowski
Karol Myszkowski Max Planck Institute for Informatics
Boudewijn P. F. Lelieveldt
Boudewijn P. F. Lelieveldt Leiden University Medical Center
Michael Schwarz
Michael Schwarz Flinders University
Marcus Magnor
Marcus Magnor Technische Universität Braunschweig
Frits Koning
Frits Koning Leiden University Medical Center
Fabrice Neyret
Fabrice Neyret French Institute for Research in Computer Science and Automation - INRIA

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