World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
20473
World Ranking
6648
National Ranking
317

Dietmar Saupe 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 Dietmar Saupe 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: 236 publications — 58th percentile

58% of scientists in this discipline score the same or lower.

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

Dietmar Saupe 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 Dietmar Saupe 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: 46 D-Index — 53rd percentile

53% of scientists in this discipline score the same or lower.

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

Overview

Dietmar Saupe is affiliated with the University of Konstanz in Germany and specializes in computer science with a strong focus on computer vision and pattern recognition. Their research encompasses related subfields such as media technology, cognitive neuroscience, neurology, and dermatology.

The key topics of Dietmar Saupe's work include:

  • Image and Video Quality Assessment
  • Visual Attention and Saliency Detection
  • Image Enhancement Techniques
  • Advanced Image Processing Techniques
  • Image and Signal Denoising Methods
  • Advanced Image Fusion Techniques
  • Advanced Data Compression Techniques

Recent papers authored or co-authored by Dietmar Saupe include:

  • TranSalNet: Towards perceptually relevant visual saliency prediction, 2022, Neurocomputing
  • Large-Scale Crowdsourced Subjective Assessment of Picturewise Just Noticeable Difference, 2022, IEEE Transactions on Circuits and Systems for Video Technology
  • Subjective Image Quality Assessment With Boosted Triplet Comparisons, 2021, IEEE Access
  • DeepFL-IQA: Weak Supervision for Deep IQA Feature Learning, 2020, arXiv (Cornell University)
  • Blind Quality Assessment of Iris Images Acquired in Visible Light for Biometric Recognition, 2020, Sensors

The most frequent publication venues for their work include:

  • arXiv (Cornell University), 16 publications
  • IEEE Access, 3 publications
  • IEEE Transactions on Circuits and Systems for Video Technology, 2 publications
  • Quality and User Experience, 2 publications
  • Neurocomputing, 1 publication

Dietmar Saupe collaborates regularly with several co-authors, including Vlad Hosu, Hanhe Lin, Mohsen Jenadeleh, Oliver Wiedemann, and Shaolin Su. The frequency of collaboration with these colleagues ranges from 5 to 14 joint works, indicating ongoing research partnerships in their field.

Best Publications

  • Chaos and Fractals: New Frontiers of Science

    Heinz-Otto Peitgen;Hartmut Jürgens;Dietmar Saupe

  • Chaos and Fractals

    Heinz-Otto Peitgen;Hartmut Jurgens;Dietmar Saupe

  • The science of fractal images

    Michael F. Barnsley;Robert L. Devaney;Benoit B. Mandelbrot;Heinz-Otto Peitgen

  • KonIQ-10k: An Ecologically Valid Database for Deep Learning of Blind Image Quality Assessment

    Vlad Hosu;Hanhe Lin;Tamas Sziranyi;Dietmar Saupe

  • 3D Model Retrieval with Spherical Harmonics and Moments

    Dietmar Saupe;Dejan V. Vranic

  • Algorithms for random fractals

    Dietmar Saupe

  • Feature-based similarity search in 3D object databases

    Benjamin Bustos;Daniel A. Keim;Dietmar Saupe;Tobias Schreck

  • Tools for 3D-object retrieval: Karhunen-Loeve transform and spherical harmonics

    D.V. Vranic;D. Saupe;J. Richter

  • KADID-10k: A Large-scale Artificially Distorted IQA Database

    Hanhe Lin;Vlad Hosu;Dietmar Saupe

  • The Konstanz natural video database (KoNViD-1k)

    Vlad Hosu;Franz Hahn;Mohsen Jenadeleh;Hanhe Lin

  • 3D Shape Descriptor Based on 3D Fourier Transform

    Dejan Vranic;Dietmar Saupe

  • Fractals for the Classroom

    Heinz-Otto Peitgen;Hartmut Jürgens;Dietmar Saupe

  • Fractals for the Classroom: Part One Introduction to Fractals and Chaos

    Heintz-Otto Peitgen;Hartmut Jürgens;Dietmar Saupe

  • Accelerating fractal image compression by multi-dimensional nearest neighbor search

    D. Saupe

  • Effective Aesthetics Prediction With Multi-Level Spatially Pooled Features

    Vlad Hosu;Bastian Goldlucke;Dietmar Saupe

  • Description of 3D-shape using a complex function on the sphere

    D.V. Vranic;D. Saupe

  • Content-Based 3D Object Retrieval

    B. Bustos;D. Keim;D. Saupe;T. Schreck

  • Compression of point-based 3D models by shape-adaptive wavelet coding of multi-height fields

    Tilo Ochotta;Dietmar Saupe

  • Spectral-Driven Isometry-Invariant Matching of 3D Shapes

    Mauro R. Ruggeri;Giuseppe Patanè;Michela Spagnuolo;Dietmar Saupe

  • Cayley’s problem and Julia sets

    H. O. Peitgen;D. Saupe;F. v. Haeseler

  • Introduction to fractals and chaos

    Heinz-Otto Peitgen;H. Jürgens;Dietmar Saupe

Frequent Co-Authors

Heinz-Otto Peitgen
Heinz-Otto Peitgen University of Bremen
Hannes Hartenstein
Hannes Hartenstein Karlsruhe Institute of Technology
Daniel A. Keim
Daniel A. Keim University of Konstanz
Tobias Schreck
Tobias Schreck Graz University of Technology
Shujun Li
Shujun Li University of Kent
Oliver Deussen
Oliver Deussen University of Konstanz
Sarang S. Dalal
Sarang S. Dalal Aarhus University
Vladimir Stankovic
Vladimir Stankovic University of Strathclyde
Andrés Bruhn
Andrés Bruhn University of Stuttgart
C.-C. Jay Kuo
C.-C. Jay Kuo University of Southern California

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