World's Best Scientists 2026 revealed!
Reinhard Klein

Reinhard Klein

D-Index & Metrics

Computer Science

D-Index
54
Citations
13505
World Ranking
4514
National Ranking
199

Reinhard Klein 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 Reinhard Klein 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: 325 publications — 78th percentile

78% of scientists in this discipline score the same or lower.

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

Reinhard Klein 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 Reinhard Klein 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: 54 D-Index — 69th percentile

69% of scientists in this discipline score the same or lower.

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

Overview

Reinhard Klein is affiliated with the University of Bonn in Germany. Their research spans multiple fields within computer science and engineering, with a particular focus on computer vision, graphics, and computational mechanics. Klein's work extensively covers topics related to 3D shape modeling, advanced imaging techniques, and fluid dynamics.

The scientist has contributed numerous publications, with recent papers including:

  • "Spline-PINN: Approaching PDEs without Data Using Fast, Physics-Informed Hermite-Spline CNNs" (2022), published in Proceedings of the AAAI Conference on Artificial Intelligence
  • "Learning Incompressible Fluid Dynamics from Scratch -- Towards Fast, Differentiable Fluid Models that Generalize" (2020), published on arXiv (Cornell University)
  • "Weakly-Supervised Single-view Dense 3D Point Cloud Reconstruction via Differentiable Renderer" (2021), published in Chinese Journal of Mechanical Engineering
  • "Towards quantitative and intuitive percutaneous tumor puncture via augmented virtual reality" (2021), published in Computerized Medical Imaging and Graphics
  • "BoundED: Neural boundary and edge detection in 3D point clouds via local neighborhood statistics" (2023), published in ISPRS Journal of Photogrammetry and Remote Sensing

Klein's frequent co-authors include Michael Weinmann, Patrick Stotko, Nils Wandel, Julian Kaltheuner, and Lukas Bode. Collaboration with these researchers has been notable, as reflected in co-authorship counts ranging from 6 to 21 joint publications.

The scientist's work has appeared in several key publication venues, indicating an active presence in the research community. These venues include:

  • arXiv (Cornell University)
  • Computers & Graphics
  • Computer Graphics Forum
  • SSRN Electronic Journal
  • Eurographics

Reinhard Klein's research primarily contributes to the following fields of study:

  • Computer Science
  • Engineering

Within these fields, the subfields of greatest activity are:

  • Computer Vision and Pattern Recognition
  • Computational Mechanics
  • Computer Graphics and Computer-Aided Design
  • Statistical and Nonlinear Physics
  • Geology

The main research topics covered by Klein's work are diverse and include:

  • Computer Graphics and Visualization Techniques
  • 3D Shape Modeling and Analysis
  • Advanced Vision and Imaging
  • Model Reduction and Neural Networks
  • 3D Surveying and Cultural Heritage
  • Augmented Reality Applications
  • Fluid Dynamics and Turbulent Flows

Best Publications

  • Efficient RANSAC for Point-Cloud Shape Detection

    Ruwen Schnabel;Roland Wahl;Reinhard Klein

  • Octree-based point-cloud compression

    Ruwen Schnabel;Reinhard Klein

  • 3D zernike descriptors for content based shape retrieval

    Marcin Novotni;Reinhard Klein

  • 3D Shape Matching with 3D Shape Contexts

    Marcel Körtgen;Gil-Joo Park;Marcin Novotni;Reinhard Klein

  • Shape retrieval using 3D Zernike descriptors

    Marcin Novotni;Reinhard Klein

  • Mesh reduction with error control

    R. Klein;G. Liebich;W. Strasser

  • State of the Art on 3D Reconstruction with RGB-D Cameras

    Michael Zollhöfer;Michael Zollhöfer;Patrick Stotko;Andreas Görlitz;Christian Theobalt

  • Automatic reconstruction of parametric building models from indoor point clouds

    Sebastian Ochmann;Richard Vock;Raoul Wessel;Reinhard Klein

  • A Two-Streamed Network for Estimating Fine-Scaled Depth Maps from Single RGB Images

    Jun Li;Reinhard Klein;Angela Yao

  • Acquisition, Synthesis, and Rendering of Bidirectional Texture Functions

    Gero Müller;Jan Meseth;Mirko Sattler;Ralf Sarlette

  • Simple and efficient compression of animation sequences

    Mirko Sattler;Ralf Sarlette;Reinhard Klein

  • Efficient and realistic visualization of cloth

    Mirko Sattler;Ralf Sarlette;Reinhard Klein

  • Automatic reconstruction of fully volumetric 3D building models from oriented point clouds

    Sebastian Ochmann;Richard Vock;Reinhard Klein

  • A geometric approach to 3D object comparison

    M. Novotni;R. Klein

  • A two-streamed network for estimating fine-scaled depth maps from single RGB images

    Jun Li;Jun Li;Can Yuce;Reinhard Klein;Angela Yao;Angela Yao

  • Shape Recognition in 3D Point-Clouds

    Ruwen Schnabel;Raoul Wessel;Roland Wahl;Reinhard Klein

  • Technical Section: Robust normal estimation for point clouds with sharp features

    Bao Li;Ruwen Schnabel;Reinhard Klein;Zhiquan Cheng

  • An Adaptable Surface Parameterization Method.

    Patrick Degener;Jan Meseth;Reinhard Klein

  • Completion and Reconstruction with Primitive Shapes

    Ruwen Schnabel;Patrick Degener;Reinhard Klein

  • GPU-based trimming and tessellation of NURBS and T-Spline surfaces

    Michael Guthe;Aákos Balázs;Reinhard Klein

  • "Last-Mile" preparation for a potential disaster – Interdisciplinary approach towards tsunami early warning and an evacuation information system for the coastal city of Padang, Indonesia

    Hannes Taubenböck;Nils Goseberg;Neysa J. Setiadi;Gregor Lämmel

  • Measuring vulnerability to promote disaster resilient societies : conceptual frameworks and definitions

    Joern Birkmann;Stefan Dech;Gerd Hirzinger;Reinhard Klein

Frequent Co-Authors

Wolfgang Straßer
Wolfgang Straßer University of Tübingen
Angela Yao
Angela Yao National University of Singapore
Hans-Peter Seidel
Hans-Peter Seidel Max Planck Institute for Informatics
Sven Behnke
Sven Behnke University of Bonn
Holly Rushmeier
Holly Rushmeier Yale University
Philipp Slusallek
Philipp Slusallek Saarland University
Florian Siegert
Florian Siegert Ludwig-Maximilians-Universität München
Andreas Kolb
Andreas Kolb University of Siegen
Stefan Dech
Stefan Dech German Aerospace Center
Jörg Stückler
Jörg Stückler Max Planck Institute for Intelligent Systems

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