World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
73
Citations
18237
World Ranking
1618
National Ranking
839

Ulrich Neumann 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 Ulrich Neumann 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: 271 publications — 67th percentile

67% of scientists in this discipline score the same or lower.

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

Ulrich Neumann 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 Ulrich Neumann 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: 73 D-Index — 89th percentile

89% of scientists in this discipline score the same or lower.

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

Overview

Ulrich Neumann is affiliated with the University of Southern California in the United States. Their research contributions span several areas within computer science and engineering with a focus on computer vision and computer graphics.

The main fields of study associated with Ulrich Neumann include:

  • Computer Science
  • Engineering

Within these fields, notable subfields of study are:

  • Computer Vision and Pattern Recognition
  • Computer Graphics and Computer-Aided Design
  • Computational Mechanics
  • Automotive Engineering
  • Aerospace Engineering

Their research covers a range of topics, including:

  • Advanced Vision and Imaging
  • 3D Shape Modeling and Analysis
  • Face recognition and analysis
  • Computer Graphics and Visualization Techniques
  • Autonomous Vehicle Technology and Safety
  • Robotics and Sensor-Based Localization
  • Video Surveillance and Tracking Methods

Ulrich Neumann has published extensively, with a presence in respected venues such as arXiv and multiple IEEE conferences. Frequent publication venues include:

  • arXiv (Cornell University)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • 2021 International Conference on 3D Vision (3DV)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence

Recent notable papers authored or co-authored by Ulrich Neumann include:

  • "Point-NeRF: Point-based Neural Radiance Fields" (2022), 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Behind the Curtain: Learning Occluded Shapes for 3D Object Detection" (2022), Proceedings of the AAAI Conference on Artificial Intelligence
  • "Synergy between 3DMM and 3D Landmarks for Accurate 3D Facial Geometry" (2021), 2021 International Conference on 3D Vision (3DV)
  • "Toward Practical Monocular Indoor Depth Estimation" (2022), 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Cross-Modal Perceptionist: Can Face Geometry be Gleaned from Voices?" (2022), 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Ulrich Neumann collaborates frequently with several researchers, including:

  • Cho-Ying Wu
  • Yiqi Zhong
  • Qiangeng Xu
  • Chin-Cheng Hsu
  • Quankai Gao

Best Publications

  • Analysis of emotion recognition using facial expressions, speech and multimodal information

    Carlos Busso;Zhigang Deng;Serdar Yildirim;Murtaza Bulut

  • Point-NeRF: Point-based Neural Radiance Fields

    Unknown

  • Modeling and video projection for augmented virtual environments

    Ulrich Neumann;Suya You

  • Expression cloning

    Jun-yong Noh;Ulrich Neumann

  • SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation

    Weiyue Wang;Ronald Yu;Qiangui Huang;Ulrich Neumann

  • Recurrent Slice Networks for 3D Segmentation of Point Clouds

    Qiangui Huang;Weiyue Wang;Ulrich Neumann

  • Expression cloning

    Unknown

  • The Virtual Classroom: A Virtual Reality Environment for the Assessment and Rehabilitation of Attention Deficits

    A.A. Rizzo;J.G. Buckwalter;T. Bowerly;C. Van Der Zaag

  • DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction

    Qiangeng Xu;Weiyue Wang;Duygu Ceylan;Radomir Mech

  • Hybrid inertial and vision tracking for augmented reality registration

    Suya You;U. Neumann;R. Azuma

  • Cognitive, performance, and systems issues for augmented reality applications in manufacturing and maintenance

    U. Neumann;A. Majoros

  • Fusion of vision and gyro tracking for robust augmented reality registration

    S. You;U. Neumann

  • Accelerating Volume Reconstruction With 3D Texture Hardware

    Timothy J. Cullip;Ulrich Neumann

  • Dynamic registration correction in video-based augmented reality systems

    M. Bajura;U. Neumann

  • Depth-Aware CNN for RGB-D Segmentation

    Weiyue Wang;Ulrich Neumann

  • Natural feature tracking for augmented reality

    U. Neumann;S. You

  • Augmented-reality tool employing scen e-feature autocalibration during camera motion

    Ulrich Neumann;Suya You

  • Grid-GCN for Fast and Scalable Point Cloud Learning

    Qiangeng Xu;Xudong Sun;Cho-Ying Wu;Panqu Wang

  • Behind the Curtain: Learning Occluded Shapes for 3D Object Detection

    Unknown

  • Approaches to large-scale urban modeling

    Jinhui Hu;Suya You;U. Neumann

  • Rigid Head Motion in Expressive Speech Animation: Analysis and Synthesis

    C. Busso;Zhigang Deng;M. Grimm;U. Neumann

  • Virtual environment applications in clinical neuropsychology

    A. Rizzo;J.G. Buckwalter;C. van der Zaag;U. Neumann

  • Virtual Reality and Cognitive Rehabilitation: A Brief Review of the Future

    Albert A. Rizzo;J. Galen Buckwalter;Ulrich Neumann

Frequent Co-Authors

Suya You
Suya You University of Southern California
Zhigang Deng
Zhigang Deng University of Houston
John P. Lewis
John P. Lewis Victoria University of Wellington
Albert Rizzo
Albert Rizzo University of Southern California
Carlos Busso
Carlos Busso The University of Texas at Dallas
Shrikanth S. Narayanan
Shrikanth S. Narayanan University of Southern California
Krishna S. Nayak
Krishna S. Nayak University of Southern California
Carl Kesselman
Carl Kesselman University of Southern California
Jing Huang
Jing Huang Peking University
Duygu Ceylan
Duygu Ceylan Adobe Systems (United States)

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