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

D-Index & Metrics

Rising Stars

D-Index
39
Citations
43678
World Ranking
676
National Ranking
100

Computer Science

D-Index
36
Citations
40370
World Ranking
10946
National Ranking
4549

Barret Zoph 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 Barret Zoph 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: 58 publications — 1st percentile

1% of scientists in this discipline score the same or lower.

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

Barret Zoph 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 Barret Zoph 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

Barret Zoph is a researcher affiliated with Google in the United States focusing on various domains within computer science. Their work primarily spans several subfields, including artificial intelligence, computer vision and pattern recognition, automotive engineering, information systems, and health informatics.

The researcher has contributed extensively to the literature on advanced neural network applications, topic modeling, domain adaptation and few-shot learning, natural language processing techniques, multimodal machine learning applications, video surveillance and tracking methods, and machine learning and data classification.

Barret Zoph has published the majority of their work through the venue arXiv (Cornell University), with 22 publications recorded there. Other publication venues include Lecture Notes in Computer Science, the 2021 IEEE/CVF International Conference on Computer Vision (ICCV), and the 2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW).

Frequent collaborators in their research include Ekin D. Cubuk, Quoc V. Le, William Fedus, Tsung-Yi Lin, and Jonathon Shlens.

Several notable papers by Barret Zoph include:

  1. PaLM: Scaling Language Modeling with Pathways, 2022, arXiv (Cornell University)
  2. Scaling Instruction-Finetuned Language Models, 2022, arXiv (Cornell University)
  3. Emergent Abilities of Large Language Models, 2022, arXiv (Cornell University)
  4. Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity, 2021, arXiv (Cornell University)
  5. Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models, 2022, arXiv (Cornell University)

Best Publications

  • Learning Transferable Architectures for Scalable Image Recognition

    Barret Zoph;Vijay Vasudevan;Jonathon Shlens;Quoc V. Le

  • Neural Architecture Search with Reinforcement Learning

    Barret Zoph;Quoc V. Le

  • SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition

    Daniel S. Park;William Chan;Yu Zhang;Chung-Cheng Chiu

  • RandAugment: Practical Automated Data Augmentation with a Reduced Search Space

    Ekin Dogus Cubuk;Barret Zoph;Jon Shlens;Quoc Le

  • AutoAugment: Learning Augmentation Strategies From Data

    Ekin D. Cubuk;Barret Zoph;Dandelion Mane;Vijay Vasudevan

  • Scaling Instruction-Finetuned Language Models

    Unknown

  • Progressive Neural Architecture Search

    Chenxi Liu;Barret Zoph;Maxim Neumann;Jonathon Shlens

  • Emergent Abilities of Large Language Models

    Unknown

  • Efficient Neural Architecture Search via Parameters Sharing

    Hieu Pham;Melody Y. Guan;Barret Zoph;Quoc V. Le

  • Searching for Activation Functions

    Prajit Ramachandran;Barret Zoph;Quoc V. Le

  • AutoAugment: Learning Augmentation Policies from Data

    Ekin Dogus Cubuk;Barret Zoph;Dandelion Mane;Vijay Vasudevan

  • Attention Augmented Convolutional Networks

    Irwan Bello;Barret Zoph;Quoc Le;Ashish Vaswani

  • Efficient Neural Architecture Search via Parameter Sharing

    Hieu Pham;Melody Y. Guan;Barret Zoph;Quoc V. Le

  • Transfer Learning for Low-Resource Neural Machine Translation

    Barret Zoph;Deniz Yuret;Jonathan May;Kevin Knight

  • Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation

    Golnaz Ghiasi;Yin Cui;Aravind Srinivas;Rui Qian

  • AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty

    Dan Hendrycks;Norman Mu;Ekin Dogus Cubuk;Barret Zoph

  • Swish: a Self-Gated Activation Function

    Prajit Ramachandran;Barret Zoph;Quoc V. Le

  • Understanding and Simplifying One-Shot Architecture Search

    Gabriel M. Bender;Pieter-jan Kindermans;Barret Zoph;Vijay Vasudevan

  • Learning Data Augmentation Strategies for Object Detection

    Barret Zoph;Ekin D. Cubuk;Golnaz Ghiasi;Tsung-Yi Lin

  • Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity.

    William Fedus;Barret Zoph;Noam Shazeer

  • Rethinking Pre-training and Self-training

    Barret Zoph;Golnaz Ghiasi;Tsung-Yi Lin;Yin Cui

  • Searching for Efficient Multi-Scale Architectures for Dense Image Prediction

    Liang-Chieh Chen;Maxwell D. Collins;Yukun Zhu;George Papandreou

  • Neural optimizer search with reinforcement learning

    Irwan Bello;Barret Zoph;Vijay Vasudevan;Quoc V. Le

Frequent Co-Authors

Ekin D. Cubuk
Ekin D. Cubuk Google (United States)
Jonathon Shlens
Jonathon Shlens Google (United States)
Quoc V. Le
Quoc V. Le Google (United States)
Tsung-Yi Lin
Tsung-Yi Lin Nvidia (United States)
Vijay K. Vasudevan
Vijay K. Vasudevan Google (United States)
Hartwig Adam
Hartwig Adam Google (United States)
Kevin Knight
Kevin Knight University of Southern California
Li Fei-Fei
Li Fei-Fei Stanford University
Jeffrey Dean
Jeffrey Dean Google (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

Exploring alternative pathways in computer science has never been more accessible. For students looking to begin quickly, online associate degree programs can provide a solid foundation in just six months, perfect for those eager to enter the workforce or continue studies.

If you’re considering expanding your skillset beyond tech, many business schools online offer programs tailored for future entrepreneurs and managers, merging business acumen with your computing knowledge.

Affordability is also a key factor. You can find excellent, accredited programs from the least expensive online bachelor's degree options—making it easier to advance your education without incurring heavy debt.

Lastly, for those interested in combining computing with applied technology, the demand for graduates from reputable engineering schools online continues to grow, opening pathways into industries like robotics, aerospace, and design.

Best Scientists Citing Barret Zoph

Trending Scientists

Recently Published Articles