World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
47
Citations
18701
World Ranking
6299
National Ranking
292

Volker Blanz 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 Volker Blanz 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: 119 publications — 14th percentile

14% of scientists in this discipline score the same or lower.

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

Volker Blanz 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 Volker Blanz 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: 47 D-Index — 56th percentile

56% of scientists in this discipline score the same or lower.

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

Overview

Volker Blanz is affiliated with the University of Siegen in Germany. Their research primarily focuses on areas within computer science, with an emphasis on computer vision and pattern recognition. The scholar's work intersects across subfields including computational mechanics and artificial intelligence.

The main topics investigated by Volker Blanz cover several domains related to facial analysis and advanced computational techniques. These include:

  • Face recognition and analysis
  • Face and expression recognition
  • 3D shape modeling and analysis
  • Advanced neural network applications
  • Domain adaptation and few-shot learning
  • Advanced image and video retrieval techniques
  • Generative adversarial networks and image synthesis

Volker Blanz has published in notable scientific venues, particularly in:

  • arXiv (Cornell University)
  • ACM Transactions on Graphics

The scientist's recent papers include the following contributions:

  • 3D Morphable Face Models-Past, Present, and Future, 2020, ACM Transactions on Graphics
  • Robust Semantic Segmentation with Superpixel-Mix, 2021, arXiv (Cornell University)
  • Deep Ranking with Adaptive Margin Triplet Loss, 2021, arXiv (Cornell University)
  • Learning a Discriminant Latent Space with Neural Discriminant Analysis, 2021, arXiv (Cornell University)
  • Vision At Night: Exploring Biologically Inspired Preprocessing For Improved Robustness Via Color And Contrast Transformations, 2025, arXiv (Cornell University)

Frequent collaborators of Volker Blanz include colleagues with multiple joint publications. These coauthors are:

  • Mai Lan Ha
  • Thomas Vetter
  • Gianni Franchi
  • Bernhard Egger
  • William A. P. Smith

Best Publications

  • A morphable model for the synthesis of 3D faces

    Volker Blanz;Thomas Vetter

  • Face recognition based on fitting a 3D morphable model

    V. Blanz;T. Vetter

  • Prototype-referenced shape encoding revealed by high-level aftereffects

    David A. Leopold;Alice J. O'Toole;Thomas Vetter;Volker Blanz

  • Reanimating Faces in Images and Video

    Volker Blanz;Curzio Basso;Tomaso A. Poggio;Thomas Vetter

  • Face identification across different poses and illuminations with a 3D morphable model

    V. Blanz;S. Romdhani;T. Vetter

  • Component-Based Face recognition with 3D Morphable Models

    Benjamin Weyrauch;Jennifer Huang;Bernd Heisele;Volker Blanz

  • Face Identification by Fitting a 3D Morphable Model Using Linear Shape and Texture Error Functions

    Sami Romdhani;Volker Blanz;Thomas Vetter

  • Comparison of View-Based Object Recognition Algorithms Using Realistic 3D Models

    Volker Blanz;Volker Blanz;Bernhard Schölkopf;Bernhard Schölkopf;Heinrich H. Bülthoff;Chris Burges

  • 3D Morphable Face Models—Past, Present, and Future

    Bernhard Egger;William A. P. Smith;Ayush Tewari;Stefanie Wuhrer

  • Component-Based Face Recognition with 3D Morphable Models

    B. Weyrauch;B. Heisele;J. Huang;V. Blanz

  • What object attributes determine canonical views

    Blanz;MJ Tarr;HH Bülthoff

  • Face recognition based on frontal views generated from non-frontal images

    V. Blanz;P. Grother;P.J. Phillips;T. Vetter

  • Exchanging Faces in Images

    Volker Blanz;Kristina Scherbaum;Thomas Vetter;Hans-Peter Seidel

  • Component-based face recognition with 3D morphable models

    Jennifer Huang;Bernd Heisele;Volker Blanz

  • A statistical method for robust 3D surface reconstruction from sparse data

    V. Blanz;A. Mehl;T. Vetter;H.-P. Seidel

  • Method and apparatus for the processing of images

    Volker Blanz;Thomas Vetter

  • Perceptual evaluation of tone mapping operators with real-world scenes

    Akiko Yoshida;Volker Blanz;Karol Myszkowski;Hans-Peter Seidel

  • Evaluation of a shape-based model of human face discrimination using FMRI and behavioral techniques.

    Xiong Jiang;Ezra Rosen;Thomas Zeffiro;John VanMeter

  • 3D shape and 2D surface textures of human faces: the role of “averages” in attractiveness and age

    Alice J. O'Toole;Theodore J. Price;Thomas Vetter;James C. Bartlett

  • To What Extent Do Unique Parts Influence Recognition Across Changes in Viewpoint

    Michael J. Tarr;Heinrich H. Bülthoff;Marion Zabinski;Volker Blanz

  • A Statistical Method for Robust 3D Surface Reconstruction from Sparse Data

    Volker Blanz;Albert Mehl;Thomas Vetter;Hans-Peter Seidel

  • Comparison of view { based object recognition algorithms using realistic 3D models

    V Blanz;B Scholkopf;H Bultho;C Burges

Frequent Co-Authors

Thomas Vetter
Thomas Vetter University of Basel
Hans-Peter Seidel
Hans-Peter Seidel Max Planck Institute for Informatics
Fang Jiang
Fang Jiang Nanjing University of Science and Technology
Alice J. O'Toole
Alice J. O'Toole The University of Texas at Dallas
Bernhard Schölkopf
Bernhard Schölkopf Max Planck Institute for Intelligent Systems
Bruno Rossion
Bruno Rossion University of Lorraine
Peter J Trainer
Peter J Trainer University of Manchester
Demetri Terzopoulos
Demetri Terzopoulos University of California, Los Angeles
Erik Learned-Miller
Erik Learned-Miller University of Massachusetts Amherst
Heinrich H. Bülthoff
Heinrich H. Bülthoff Max Planck Institute for Biological Cybernetics

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