World's Best Scientists 2026 revealed!
Hendrik P. A. Lensch

Hendrik P. A. Lensch

D-Index & Metrics

Computer Science

D-Index
47
Citations
7871
World Ranking
6561
National Ranking
310

Hendrik P. A. Lensch 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 Hendrik P. A. Lensch 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: 211 publications — 50th percentile

50% of scientists in this discipline score the same or lower.

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

Hendrik P. A. Lensch 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 Hendrik P. A. Lensch 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

Hendrik P. A. Lensch is affiliated with the University of Tübingen in Germany and specializes in computer science with a significant focus on computer vision, artificial intelligence, and computer graphics. Their research spans several subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Graphics and Computer-Aided Design, Experimental and Cognitive Psychology, and Computational Mechanics.

The scientist's recent publications reveal a strong engagement with advanced topics in vision and imaging as well as computational techniques for 3D modeling. Notable recent papers include:

  • "GGNN: Graph-Based GPU Nearest Neighbor Search" (2022) published in IEEE Transactions on Big Data
  • "SAMURAI: Shape And Material from Unconstrained Real-world Arbitrary Image collections" (2022) published on arXiv (Cornell University)
  • "Robust fitting of parallax-aware mixtures for path guiding" (2020) published in ACM Transactions on Graphics
  • "NeRD: Neural Reflectance Decomposition from Image Collections" (2021) presented at the 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "Tetrahedra of varying density and their applications" (2021) published in The Visual Computer

Their scholarly output demonstrates attention to computational methods in computer graphics and advanced imaging processes, with a particular interest in multimodal machine learning applications and 3D shape modeling and analysis.

Frequently collaborating with other researchers, Hendrik P. A. Lensch works regularly with several co-authors, including:

  • Hassan Shahmohammadi
  • R. Harald Baayen
  • Simon Doll
  • Mark Boss
  • Leonard Salewski

Publication venues frequently chosen reflect their areas of focus, including:

  • arXiv (Cornell University)
  • The Visual Computer
  • IEEE Robotics and Automation Letters
  • Lecture Notes in Computer Science
  • IEEE Transactions on Big Data

The scientist's primary topics of research cover:

  • Multimodal Machine Learning Applications
  • Advanced Vision and Imaging
  • Computer Graphics and Visualization Techniques
  • Language, Metaphor, and Cognition
  • Natural Language Processing Techniques
  • 3D Shape Modeling and Analysis
  • Topic Modeling

Hendrik P. A. Lensch's work contributes to a broad range of computational and applied research areas within computer science, consistently exploring intersections between machine learning, vision, and graphics techniques.

Best Publications

  • Image-based reconstruction of spatial appearance and geometric detail

    Hendrik P. A. Lensch;Jan Kautz;Michael Goesele;Wolfgang Heidrich

  • Dual photography

    Pradeep Sen;Billy Chen;Gaurav Garg;Stephen R. Marschner

  • NeRD: Neural Reflectance Decomposition From Image Collections

    Mark Boss;Raphael Braun;Varun Jampani;Jonathan T. Barron

  • Polarization and Phase-Shifting for 3D Scanning of Translucent Objects

    Tongbo Chen;H.P.A. Lensch;C. Fuchs;H.-P. Seidel

  • Optimal HDR reconstruction with linear digital cameras

    Miguel Granados;Boris Ajdin;Michael Wand;Christian Theobalt

  • Principles of Appearance Acquisition and Representation

    Tim Weyrich;Jason Lawrence;Hendrik Lensch;Szymon Rusinkiewicz

  • Transparent and Specular Object Reconstruction

    Ivo Ihrke;Kiriakos N. Kutulakos;Hendrik P. A. Lensch;Marcus A. Magnor

  • Image-based reconstruction of spatially varying materials

    Hendrik P. A. Lensch;Jan Kautz;Michael Goesele;Wolfgang Heidrich

  • The Frankencamera: an experimental platform for computational photography

    Andrew Adams;Eino-Ville Talvala;Sung Hee Park;David E. Jacobs

  • DISCO: acquisition of translucent objects

    Michael Goesele;Hendrik P. A. Lensch;Jochen Lang;Christian Fuchs

  • A Silhouette-Based Algorithm for Texture Registration and Stitching

    Hendrik P.A. Lensch;Wolfgang Heidrich;Hans-Peter Seidel

  • Automated texture registration and stitching for real world models

    H.P.A. Lensch;W. Heidrich;H.-P. Seidel

  • Learning Blind Motion Deblurring

    Patrick Wieschollek;Michael Hirsch;Bernhard Scholkopf;Hendrik P.A. Lensch

  • Infrared Colorization Using Deep Convolutional Neural Networks

    Matthias Limmer;Hendrik P. A. Lensch

  • Tempest in a Teapot: Compromising Reflections Revisited

    Michael Backes;Tongbo Chen;Markus Duermuth;Hendrik P.A. Lensch

  • 3D Acquisition of mirroring objects using striped patterns

    Marco Tarini;Hendrik P. A. Lensch;Michael Goesele;Hans-Peter Seidel

  • Acquisition and analysis of bispectral bidirectional reflectance distribution functions

    Matthias B. Hullin;Boris Ajdin;Johannes Hanika;Hans-Peter Seidel

  • Edge-avoiding À-Trous wavelet transform for fast global illumination filtering

    Holger Dammertz;Daniel Sewtz;Johannes Hanika;Hendrik P. A. Lensch

  • Interactive rendering of translucent objects

    H.P.A. Lensch;M. Goesele;P. Bekaert;J. Kautz

  • Interactive Rendering of Translucent Objects

    Hendrik P.A. Lensch;Michael Goesele;Philippe Bekaert;Jan Kautz

  • Modulated phase-shifting for 3D scanning

    Tongbo Chen;H.-P. Seidel;H. Lensch

  • Acquisition and analysis of bispectral bidirectional reflectance and reradiation distribution functions

    Matthias B. Hullin;Johannes Hanika;Boris Ajdin;Hans-Peter Seidel

Frequent Co-Authors

Hans-Peter Seidel
Hans-Peter Seidel Max Planck Institute for Informatics
Michael Goesele
Michael Goesele Technical University of Darmstadt
Jan Kautz
Jan Kautz Nvidia (United States)
Wolfgang Heidrich
Wolfgang Heidrich King Abdullah University of Science and Technology
Marcus Magnor
Marcus Magnor Technische Universität Braunschweig
Szymon Rusinkiewicz
Szymon Rusinkiewicz Princeton University
Martin V. Butz
Martin V. Butz University of Tübingen
Marc Levoy
Marc Levoy Google (United States)
Christian Theobalt
Christian Theobalt Max Planck Institute for Informatics

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