World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
107
Citations
37941
World Ranking
267
National Ranking
146

Kurt Keutzer 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 Kurt Keutzer 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: 442 publications — 90th percentile

90% of scientists in this discipline score the same or lower.

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

Kurt Keutzer 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 Kurt Keutzer 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: 107 D-Index — 98th percentile

98% 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

  • 1996 - IEEE Fellow For contributions to logic synthesis and computer-aided design; specifically for the development of algorithms for the optimization of area, delay, testability, and power of digital circuits.

Overview

Kurt Keutzer is affiliated with the University of California, Berkeley in the United States. Their research primarily focuses on computer science, with extensive work in artificial intelligence, computer vision and pattern recognition, signal processing, electrical and electronic engineering, and computer networks and communications.

The main topics of their research include domain adaptation and few-shot learning, advanced neural network applications, multimodal machine learning applications, topic modeling, natural language processing techniques, advanced image and video retrieval techniques, and speech recognition and synthesis.

Keutzer has published numerous papers in respected academic venues. Some recent notable publications are:

  • "Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT" (2020) in the Proceedings of the AAAI Conference on Artificial Intelligence
  • "Visual Transformers: Token-based Image Representation and Processing for Computer Vision" (2020) in arXiv (Cornell University)
  • "A Review of Single-Source Deep Unsupervised Visual Domain Adaptation" (2020) in IEEE Transactions on Neural Networks and Learning Systems
  • "Multi-Source Distilling Domain Adaptation" (2020) in the Proceedings of the AAAI Conference on Artificial Intelligence
  • "ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning" (2021) in the Proceedings of the AAAI Conference on Artificial Intelligence

Keutzer frequently publishes in venues such as arXiv (Cornell University), Proceedings of the AAAI Conference on Artificial Intelligence, and IEEE conferences including the Winter Conference on Applications of Computer Vision and the International Conference on Computer Vision.

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • IEEE Transactions on Neural Networks and Learning Systems

Among frequent co-authors are Amir Gholami, Michael W. Mahoney, Chenfeng Xu, Masayoshi Tomizuka, and Shanghang Zhang.

  • Amir Gholami
  • Michael W. Mahoney
  • Chenfeng Xu
  • Masayoshi Tomizuka
  • Shanghang Zhang

Kurt Keutzer was named IEEE Fellow in 1996 for contributions to logic synthesis and computer-aided design, including the development of algorithms for the optimization of area, delay, testability, and power of digital circuits.

Best Publications

  • Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

    Spyridon Bakas;Mauricio Reyes;Andras Jakab;Stefan Bauer

  • System-level design: orthogonalization of concerns and platform-based design

    K. Keutzer;A.R. Newton;J.M. Rabaey;A. Sangiovanni-Vincentelli

  • FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search

    Bichen Wu;Kurt Keutzer;Xiaoliang Dai;Peizhao Zhang

  • SqueezeSeg: Convolutional Neural Nets with Recurrent CRF for Real-Time Road-Object Segmentation from 3D LiDAR Point Cloud

    Bichen Wu;Alvin Wan;Xiangyu Yue;Kurt Keutzer

  • A Survey of Quantization Methods for Efficient Neural Network Inference

    Amir Gholami;Sehoon Kim;Zhen Dong;Zhewei Yao

  • DAGON: Technology Binding and Local Optimization by DAG Matching

    K. Keutzer

  • DenseNet: Implementing Efficient ConvNet Descriptor Pyramids

    Forrest N. Iandola;Matthew W. Moskewicz;Sergey Karayev;Ross B. Girshick

  • Estimation of average switching activity in combinational and sequential circuits

    A. Ghosh;S. Devadas;K. Keutzer;J. White

  • SqueezeSegV2: Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud

    Bichen Wu;Xuanyu Zhou;Sicheng Zhao;Xiangyu Yue

  • SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving

    Bichen Wu;Forrest Iandola;Peter H. Jin;Kurt Keutzer

  • Dense point trajectories by GPU-accelerated large displacement optical flow

    Narayanan Sundaram;Thomas Brox;Kurt Keutzer

  • Fast support vector machine training and classification on graphics processors

    Bryan Catanzaro;Narayanan Sundaram;Kurt Keutzer

  • Addressing the system-on-a-chip interconnect woes through communication-based design

    M. Sgroi;M. Sheets;A. Mihal;K. Keutzer

  • Large Batch Optimization for Deep Learning: Training BERT in 76 minutes

    Yang You;Jing Li;Sashank Reddi;Jonathan Hseu

  • Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT

    Sheng Shen;Zhen Dong;Jiayu Ye;Linjian Ma

  • HAWQ: Hessian AWare Quantization of Neural Networks With Mixed-Precision

    Zhen Dong;Zhewei Yao;Amir Gholami;Michael Mahoney

  • ImageNet Training in Minutes

    Yang You;Zhao Zhang;Cho-Jui Hsieh;James Demmel

  • Getting to the bottom of deep submicron

    Dennis Sylvester;Kurt Keutzer

  • Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions

    Bichen Wu;Alvin Wan;Xiangyu Yue;Peter Jin

  • SqueezeSegV3: Spatially-Adaptive Convolution for Efficient Point-Cloud Segmentation

    Chenfeng Xu;Bichen Wu;Zining Wang;Wei Zhan

  • Visual Transformers: Token-based Image Representation and Processing for Computer Vision

    Bichen Wu;Chenfeng Xu;Xiaoliang Dai;Alvin Wan

  • FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search

    Bichen Wu;Xiaoliang Dai;Peizhao Zhang;Yanghan Wang

Frequent Co-Authors

Sicheng Zhao
Sicheng Zhao Tsinghua University
Michael W. Mahoney
Michael W. Mahoney University of California, Berkeley
Sharad Malik
Sharad Malik Princeton University
James Demmel
James Demmel University of California, Berkeley
Alberto Sangiovanni-Vincentelli
Alberto Sangiovanni-Vincentelli University of California, Berkeley
Joseph E. Gonzalez
Joseph E. Gonzalez University of California, Berkeley
Bryan Catanzaro
Bryan Catanzaro Nvidia (United States)
Cho-Jui Hsieh
Cho-Jui Hsieh University of California, Los Angeles
Nadathur Satish
Nadathur Satish Facebook (United States)

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