World's Best Scientists 2026 revealed!
Award Badge
Rising Stars
2025

D-Index & Metrics

Rising Stars

D-Index
45
Citations
16865
World Ranking
433
National Ranking
11

Computer Science

D-Index
36
Citations
13436
World Ranking
10967
National Ranking
547

Angela Dai 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 Angela Dai 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: 135 publications — 21st percentile

21% of scientists in this discipline score the same or lower.

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

Angela Dai 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 Angela Dai 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: 36 D-Index — 23rd percentile

23% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Angela Dai is affiliated with the Technical University of Munich in Germany. Their research lies primarily at the intersection of computer science and engineering, with a strong focus on computer vision, computer graphics, and computational mechanics.

The main fields of study for Angela Dai are:

  • Computer Science
  • Engineering

Within these broad fields, their research covers several subfields including:

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

The primary research topics addressed by Angela Dai are:

  • 3D Shape Modeling and Analysis
  • Human Pose and Action Recognition
  • Advanced Vision and Imaging
  • 3D Surveying and Cultural Heritage
  • Computer Graphics and Visualization Techniques
  • Human Motion and Animation
  • Robotics and Sensor-Based Localization

Angela Dai has contributed to numerous publications, appearing frequently in the following venues:

  • arXiv (Cornell University)
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • ACM Transactions on Graphics
  • Journal of Mechanical Design

Recent papers authored or coauthored by Angela Dai include:

  • ROCA: Robust CAD Model Retrieval and Alignment from a Single Image, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • TransformerFusion: Monocular RGB Scene Reconstruction using Transformers, 2021, arXiv (Cornell University)
  • RetrievalFuse: Neural 3D Scene Reconstruction with a Database, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • SPAMs: Structured Implicit Parametric Models, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Patch2CAD: Patchwise Embedding Learning for In-the-Wild Shape Retrieval from a Single Image, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Frequent collaborators in Angela Dai's research include the following coauthors:

  • Matthias Nießner
  • Justus Thies
  • Yawar Siddiqui
  • Pablo Palafox
  • Yinyu Nie

Best Publications

  • ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes

    Angela Dai;Angel X. Chang;Manolis Savva;Maciej Halber

  • Matterport3D: Learning from RGB-D Data in Indoor Environments

    Angel Chang;Angela Dai;Thomas Funkhouser;Maciej Halber

  • Volumetric and Multi-view CNNs for Object Classification on 3D Data

    Charles R. Qi;Hao Su;Matthias NieBner;Angela Dai

  • ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes

    Angela Dai;Angel X. Chang;Manolis Savva;Maciej Halber

  • BundleFusion: real-time globally consistent 3D reconstruction using on-the-fly surface re-integration

    Angela Dai;Matthias Nießner;Michael Zollhöfer;Shahram Izadi

  • Shape Completion Using 3D-Encoder-Predictor CNNs and Shape Synthesis

    Angela Dai;Charles Ruizhongtai Qi;Matthias NieBner

  • Matterport3D: Learning from RGB-D Data in Indoor Environments

    Angel Chang;Angela Dai;Thomas Funkhouser;Maciej Halber

  • 3D-SIS: 3D Semantic Instance Segmentation of RGB-D Scans

    Ji Hou;Angela Dai;Matthias NieBner

  • Volumetric and Multi-View CNNs for Object Classification on 3D Data

    Charles R. Qi;Hao Su;Matthias Niessner;Angela Dai

  • 3DMV: Joint 3D-Multi-View Prediction for 3D Semantic Scene Segmentation

    Angela Dai;Matthias Nießner

  • ScanComplete: Large-Scale Scene Completion and Semantic Segmentation for 3D Scans

    Angela Dai;Daniel Ritchie;Martin Bokeloh;Scott Reed

  • BundleFusion

    Unknown

  • Scan2CAD: Learning CAD Model Alignment in RGB-D Scans

    Armen Avetisyan;Manuel Dahnert;Angela Dai;Manolis Savva

  • Database-Assisted Object Retrieval for Real-Time 3D Reconstruction

    Yangyan Li;Angela Dai;Leonidas Guibas;Matthias Nieβner

  • Panoptic Lifting for 3D Scene Understanding with Neural Fields

    Unknown

  • Shading-based refinement on volumetric signed distance functions

    Michael Zollhöfer;Angela Dai;Matthias Innmann;Chenglei Wu

  • SG-NN: Sparse Generative Neural Networks for Self-Supervised Scene Completion of RGB-D Scans

    Angela Dai;Christian Diller;Matthias NieBner

  • ScanNet++: A High-Fidelity Dataset of 3D Indoor Scenes

    Unknown

  • Language-Grounded Indoor 3D Semantic Segmentation in the Wild

    Unknown

  • Learning to Navigate the Energy Landscape

    Julien Valentin;Angela Dai;Matthias Niessner;Pushmeet Kohli

  • Shape Completion using 3D-Encoder-Predictor CNNs and Shape Synthesis

    Angela Dai;Charles Ruizhongtai Qi;Matthias Nießner

  • Scan2Mesh: From Unstructured Range Scans to 3D Meshes

    Angela Dai;Matthias NieBner

  • 3D-SIS: 3D Semantic Instance Segmentation of RGB-D Scans

    Ji Hou;Angela Dai;Matthias Nießner

  • SG-NN: Sparse Generative Neural Networks for Self-Supervised Scene Completion of RGB-D Scans

    Angela Dai;Christian Diller;Matthias Nießner

  • Scan2Mesh: From Unstructured Range Scans to 3D Meshes.

    Angela Dai;Matthias Nießner

Frequent Co-Authors

Matthias Nießner
Matthias Nießner Technical University of Munich
Justus Thies
Justus Thies Technical University of Munich
Leonidas J. Guibas
Leonidas J. Guibas Stanford University
Michael Zollhöfer
Michael Zollhöfer Stanford University
Thomas Funkhouser
Thomas Funkhouser Google (United States)
Angel X. Chang
Angel X. Chang Simon Fraser University
Manolis Savva
Manolis Savva Simon Fraser University
Shahram Izadi
Shahram Izadi Google (United States)
Anelia Angelova
Anelia Angelova Google (United States)
Tsung-Yi Lin
Tsung-Yi Lin Nvidia (United States)

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Studying Computer Science opens doors to a wide range of tech-driven career paths, but related fields also offer exciting opportunities. If you’re considering roles in law enforcement technology or cybersecurity, an affordable option is to pursue the cheapest online phd in criminal justice. This degree can be a solid choice for those interested in digital forensics or criminal investigation within a tech context.

Many computer science graduates find their technical skills in high demand in finance and business environments. Taking up an accounting degree can open professional options in financial analytics, auditing, or FinTech development.

For those drawn to the world of big data, an online data science degree is a popular choice. Combining coding skills with business insight, data science graduates are among the most sought-after professionals today.

Students who prefer applying technology in the real-world environment may consider an accelerated construction management degree. This pathway is ideal for technology-driven careers in building, infrastructure, or project management.

Best Scientists Citing Angela Dai

Trending Scientists

Recently Published Articles