World's Best Scientists 2026 revealed!
Christoph Bregler

Christoph Bregler

D-Index & Metrics

Computer Science

D-Index
37
Citations
14847
World Ranking
10446
National Ranking
4365

Christoph Bregler 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 Christoph Bregler 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: 71 publications — 2nd percentile

2% of scientists in this discipline score the same or lower.

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

Christoph Bregler 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 Christoph Bregler 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: 37 D-Index — 27th percentile

27% 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

  • 2003 - Fellow of Alfred P. Sloan Foundation

Overview

Christoph Bregler is affiliated with Google in the United States. Their research spans several areas within computer science and social sciences, with a focus on topics related to computer vision, machine learning, and social impact analysis.

Bregler's recent publications include works such as AMMeBa: A Large-Scale Survey and Dataset of Media-Based Misinformation In-The-Wild (2024, arXiv (Cornell University)) and SimPose: Effectively Learning DensePose and Surface Normals of People from Simulated Data (2020, arXiv (Cornell University)). These papers address issues in misinformation detection and human pose estimation through machine learning techniques.

The scientist has frequently published in the venue arXiv (Cornell University), where both recent papers have appeared. Their work often involves collaborative efforts with co-authors such as Tyler Zhu, Per Karlsson, Michele Covell, Malcolm Slaney, and Nicholas Dufour.

The primary fields of study for Bregler are:

  • Computer Science
  • Social Sciences

Within these fields, subfields of specialization include:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Sociology and Political Science
  • Control and Systems Engineering

Bregler's research topics specifically cover areas such as:

  • Human Pose and Action Recognition
  • Multimodal Machine Learning Applications
  • Domain Adaptation and Few-Shot Learning
  • Video Analysis and Summarization
  • Advanced Vision and Imaging
  • Human Motion and Animation
  • Misinformation and Its Impacts

Among the recognitions received, Bregler was named a Fellow of the Alfred P. Sloan Foundation in 2003.

Best Publications

  • Efficient object localization using Convolutional Networks

    Jonathan Tompson;Ross Goroshin;Arjun Jain;Yann LeCun

  • Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation

    Jonathan J Tompson;Arjun Jain;Yann LeCun;Christoph Bregler

  • Tracking people with twists and exponential maps

    C. Bregler;J. Malik

  • Recovering non-rigid 3D shape from image streams

    C. Bregler;A. Hertzmann;H. Biermann

  • Video Rewrite: driving visual speech with audio

    Christoph Bregler;Michele Covell;Malcolm Slaney

  • Learning and recognizing human dynamics in video sequences

    C. Bregler

  • Convolutional learning of spatio-temporal features

    Graham W. Taylor;Rob Fergus;Yann LeCun;Christoph Bregler

  • Finding Naked People

    Margaret M. Fleck;David A. Forsyth;Chris Bregler

  • Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation

    Jonathan Tompson;Arjun Jain;Yann LeCun;Christoph Bregler

  • Nonrigid Structure-from-Motion: Estimating Shape and Motion with Hierarchical Priors

    L. Torresani;A. Hertzmann;C. Bregler

  • Motion capture assisted animation: texturing and synthesis

    Katherine Pullen;Christoph Bregler

  • "Eigenlips" for robust speech recognition

    C. Bregler;Y. Konig

  • Large displacement optical flow

    Thomas Brox;Christoph Bregler;Jitendra Malik

  • Tracking and modeling non-rigid objects with rank constraints

    L. Torresani;D.B. Yang;E.J. Alexander;C. Bregler

  • Realtime facial animation with on-the-fly correctives

    Hao Li;Jihun Yu;Yuting Ye;Chris Bregler

  • Twist Based Acquisition and Tracking of Animal and Human Kinematics

    Christoph Bregler;Jitendra Malik;Katherine Pullen

  • Canonical correlation analysis of image/control-point location coupling for the automatic location of control points

    Michele Covell;Malcolm Slaney

  • Finding Pictures of Objects in Large Collections of Images

    David A. Forsyth;Jitendra Malik;Margaret M. Fleck;Hayit Greenspan;Hayit Greenspan

  • Turning to the masters: motion capturing cartoons

    Christoph Bregler;Lorie Loeb;Erika Chuang;Hrishi Deshpande

  • Improving connected letter recognition by lipreading

    C. Bregler;H. Hild;S. Manke;A. Waibel

  • Learning Non-Rigid 3D Shape from 2D Motion

    Lorenzo Torresani;Aaron Hertzmann;Christoph Bregler

  • Learning Human Pose Estimation Features with Convolutional Networks

    Arjun Jain;Jonathan Tompson;Mykhaylo Andriluka;Graham W. Taylor

  • Nonlinear manifold learning for visual speech recognition

    C. Bregler;S.M. Omohundro

  • MoDeep: A Deep Learning Framework Using Motion Features for Human Pose Estimation

    Arjun Jain;Jonathan Tompson;Yann LeCun;Christoph Bregler

Frequent Co-Authors

Jitendra Malik
Jitendra Malik University of California, Berkeley
Graham W. Taylor
Graham W. Taylor University of Guelph
Yann LeCun
Yann LeCun Facebook (United States)
Lorenzo Torresani
Lorenzo Torresani Facebook (United States)
Michele Covell
Michele Covell Google (United States)
Aaron Hertzmann
Aaron Hertzmann Adobe Systems (United States)
Rob Fergus
Rob Fergus New York University
Alex Waibel
Alex Waibel Carnegie Mellon University
Michael Rabinovich
Michael Rabinovich Case Western Reserve University
Malcolm Slaney
Malcolm Slaney Stanford University

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

Pursuing a degree in Computer Science online opens up diverse opportunities for students worldwide. Many students seek cheapest online colleges to help minimize tuition costs while earning a quality education at their own pace.

For those with academic challenges, it's worth exploring a reputable college that accepts low gpa. These institutions offer flexible admissions, making Computer Science and related fields accessible to more learners.

Students interested in combining technology with environmental impact may want to learn what jobs can you get with an environmental science degree. Career pathways include data analysis, research, and tech-driven roles that address environmental challenges.

Those looking to join the workforce quickly can accelerate their education by enrolling in one of the accelerated cs degree programs. These options allow you to fast-track your studies and start your tech career sooner.

Best Scientists Citing Christoph Bregler

Trending Scientists

Recently Published Articles