World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
49
Citations
12420
World Ranking
5797
National Ranking
2633

Stan Birchfield 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 Stan Birchfield 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: 133 publications — 20th percentile

20% of scientists in this discipline score the same or lower.

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

Stan Birchfield 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 Stan Birchfield 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: 49 D-Index — 60th percentile

60% of scientists in this discipline score the same or lower.

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

Overview

Stan Birchfield is affiliated with Nvidia in the United States and has contributed extensively to research in computer science and engineering. Their work primarily focuses on computer vision and pattern recognition, as well as control and systems engineering.

Birchfield's research spans multiple subfields including:

  • Computer Vision and Pattern Recognition
  • Control and Systems Engineering
  • Aerospace Engineering
  • Signal Processing
  • Artificial Intelligence

The main topics of Birchfield's scholarly activity cover areas such as:

  • Robot Manipulation and Learning
  • Human Pose and Action Recognition
  • Robotics and Sensor-Based Localization
  • Advanced Neural Network Applications
  • Advanced Vision and Imaging
  • Speech and Audio Processing
  • Music and Audio Processing

Birchfield has published in a variety of venues with a strong presence in arXiv (Cornell University), contributing 43 publications there. Other notable venues include the 2022 International Conference on Robotics and Automation (ICRA), International Journal of Computer Vision, the 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), and IEEE Transactions on Pattern Analysis and Machine Intelligence.

Recent papers authored or co-authored by Birchfield include:

  • "MegaPose: 6D Pose Estimation of Novel Objects via Render & Compare" (2022, arXiv (Cornell University))
  • "Single-Stage Keypoint- Based Category-Level Object Pose Estimation from an RGB Image" (2022, 2022 International Conference on Robotics and Automation (ICRA))
  • "PredictionNet: Real-Time Joint Probabilistic Traffic Prediction for Planning, Control, and Simulation" (2022, 2022 International Conference on Robotics and Automation (ICRA))
  • "Vicinity Vision Transformer" (2023, IEEE Transactions on Pattern Analysis and Machine Intelligence)
  • "Audio-Visual Segmentation with Semantics" (2024, International Journal of Computer Vision)

Frequent collaborators in Birchfield's research include Jonathan Tremblay, Stephen Tyree, Bowen Wen, and Valts Blukis. This indicates the presence of ongoing partnerships that have resulted in multiple co-authored works.

Best Publications

  • Elliptical head tracking using intensity gradients and color histograms

    S. Birchfield

  • Depth Discontinuities by Pixel-to-Pixel Stereo

    Stan Birchfield;Carlo Tomasi

  • A pixel dissimilarity measure that is insensitive to image sampling

    S. Birchfield;C. Tomasi

  • Training Deep Networks with Synthetic Data: Bridging the Reality Gap by Domain Randomization

    Jonathan Tremblay;Aayush Prakash;David Acuna;Mark Brophy

  • Spatiograms versus histograms for region-based tracking

    S.T. Birchfield;Sriram Rangarajan

  • CityFlow: A City-Scale Benchmark for Multi-Target Multi-Camera Vehicle Tracking and Re-Identification

    Zheng Tang;Milind Naphade;Ming-Yu Liu;Xiaodong Yang

  • DERVISH An Office-Navigating Robot

    Illah R. Nourbakhsh;Rob Powers;Stan Birchfield

  • Multiway cut for stereo and motion with slanted surfaces

    S. Birchfield;C. Tomasi

  • Deep Object Pose Estimation for Semantic Robotic Grasping of Household Objects

    Jonathan Tremblay;Thang To;Balakumar Sundaralingam;Yu Xiang

  • Toward low-flying autonomous MAV trail navigation using deep neural networks for environmental awareness

    Nikolai Smolyanskiy;Alexey Kamenev;Jeffrey Smith;Stan Birchfield

  • Structured Domain Randomization: Bridging the Reality Gap by Context-Aware Synthetic Data

    Aayush Prakash;Shaad Boochoon;Mark Brophy;David Acuna

  • DexYCB: A Benchmark for Capturing Hand Grasping of Objects

    Yu-Wei Chao;Wei Yang;Yu Xiang;Pavlo Molchanov

  • Depth discontinuities by pixel-to-pixel stereo

    S. Birchfield;C. Tomasi

  • Real-Time Incremental Segmentation and Tracking of Vehicles at Low Camera Angles Using Stable Features

    N.K. Kanhere;S.T. Birchfield

  • Adaptive fragments-based tracking of non-rigid objects using level sets

    Prakash Chockalingam;Nalin Pradeep;Stan Birchfield

  • DexPilot: Vision-Based Teleoperation of Dexterous Robotic Hand-Arm System

    Ankur Handa;Karl Van Wyk;Wei Yang;Jacky Liang

  • PAMTRI: Pose-Aware Multi-Task Learning for Vehicle Re-Identification Using Highly Randomized Synthetic Data

    Zheng Tang;Milind Naphade;Stan Birchfield;Jonathan Tremblay

  • BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects

    Unknown

  • Falling Things: A Synthetic Dataset for 3D Object Detection and Pose Estimation

    Jonathan Tremblay;Thang To;Stan Birchfield

  • Vehicle segmentation and tracking from a low-angle off-axis camera

    N.K. Kanhere;S.J. Pundlik;S.T. Birchfield

  • Qualitative Vision-Based Path Following

    Zhichao Chen;S.T. Birchfield

  • Qualitative vision-based mobile robot navigation

    Zhichao Chen;S.T. Birchfield

Frequent Co-Authors

Ian D. Walker
Ian D. Walker Clemson University
Jan Kautz
Jan Kautz Nvidia (United States)
Dieter Fox
Dieter Fox University of Washington
Byron Boots
Byron Boots University of Washington
Xiaodong Yang
Xiaodong Yang Nvidia (United Kingdom)
Carlo Tomasi
Carlo Tomasi Duke University
Milind R. Naphade
Milind R. Naphade Nvidia (United States)
Yuke Zhu
Yuke Zhu The University of Texas at Austin
Zheng Tang
Zheng Tang Donghua University
Andrew T. Duchowski
Andrew T. Duchowski Clemson University

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