World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
56
Citations
29779
World Ranking
3937
National Ranking
1869

James Zou 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 James Zou 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 179 publications — 38th percentile

38% of scientists in this discipline score the same or lower.

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

James Zou 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 James Zou sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 56 D-Index — 72nd percentile

72% of scientists in this discipline score the same or lower.

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

Overview

James Zou is affiliated with Stanford University in the United States. Their research predominantly intersects the fields of Computer Science and Medicine, with a focus on several subfields including Artificial Intelligence, Molecular Biology, Computer Vision and Pattern Recognition, Health Informatics, and Cardiology and Cardiovascular Medicine.

The main topics of their work cover domains such as Artificial Intelligence in Healthcare and Education, Topic Modeling, Single-cell and Spatial Transcriptomics, Cell Image Analysis Techniques, Explainable Artificial Intelligence (XAI), Machine Learning and Data Classification, and Natural Language Processing Techniques.

Among their recent publications are:

  • Video-based AI for beat-to-beat assessment of cardiac function, 2020, Nature
  • Integrating spatial gene expression and breast tumour morphology via deep learning, 2020, Nature Biomedical Engineering
  • From patterns to patients: Advances in clinical machine learning for cancer diagnosis, prognosis, and treatment, 2023, Cell
  • A visual-language foundation model for pathology image analysis using medical Twitter, 2023, Nature Medicine
  • Deep learning interpretation of echocardiograms, 2020, npj Digital Medicine

Frequent co-authors contributing to their research include:

  • David Ouyang
  • Bryan He
  • Eric Q. Wu
  • Zhenqin Wu
  • Kyle Swanson

The venues in which James Zou's work has been regularly published encompass:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Nature Communications
  • Nature

Best Publications

  • Analysis of protein-coding genetic variation in 60,706 humans

    Monkol Lek;Konrad J. Karczewski;Konrad J. Karczewski;Eric V. Minikel;Eric V. Minikel;Kaitlin E. Samocha

  • Man is to computer programmer as woman is to homemaker? debiasing word embeddings

    Tolga Bolukbasi;Kai-Wei Chang;James Zou;Venkatesh Saligrama

  • A single-cell transcriptomic atlas characterizes ageing tissues in the mouse

    Nicole Almanzar;Jane Antony;Ankit S. Baghel

  • Word embeddings quantify 100 years of gender and ethnic stereotypes.

    Nikhil Garg;Londa Schiebinger;Dan Jurafsky;James Zou

  • Video-based AI for beat-to-beat assessment of cardiac function.

    David Ouyang;Bryan He;Amirata Ghorbani;Neal Yuan

  • A primer on deep learning in genomics.

    James Zou;Mikael Huss;Abubakar Abid;Pejman Mohammadi

  • AI can be sexist and racist — it’s time to make it fair

    James Zou;Londa Schiebinger

  • Interpretation of Neural Networks is Fragile

    Amirata Ghorbani;Abubakar Abid;James Y. Zou

  • Locus-specific editing of histone modifications at endogenous enhancers using programmable TALE-LSD1 fusions

    Eric M Mendenhall;Kaylyn E Williamson;Deepak Reyon;James Y Zou

  • Deep learning interpretation of echocardiograms.

    Amirata Ghorbani;David Ouyang;Abubakar Abid;Bryan He

  • Integrating spatial gene expression and breast tumour morphology via deep learning

    Bryan He;Ludvig Bergenstråhle;Linnea Stenbeck;Abubakar Abid

  • How medical AI devices are evaluated: limitations and recommendations from an analysis of FDA approvals

    Eric Wu;Kevin Wu;Roxana Daneshjou;David Ouyang

  • Persistent Anti-Muslim Bias in Large Language Models

    Abubakar Abid;Maheen Farooqi;James Zou

  • Towards Automatic Concept-based Explanations

    Amirata Ghorbani;James Wexler;James Y. Zou;Been Kim

  • Data Shapley: Equitable Valuation of Data for Machine Learning

    Amirata Ghorbani;James Y. Zou

  • Sparse PCA corrects for cell type heterogeneity in epigenome-wide association studies.

    Elior Rahmani;Noah Zaitlen;Yael Baran;Celeste Eng

  • Lack of Transparency and Potential Bias in Artificial Intelligence Data Sets and Algorithms: A Scoping Review.

    Roxana Daneshjou;Mary P Smith;Mary D Sun;Veronica Rotemberg

  • MOPO: Model-based Offline Policy Optimization

    Tianhe Yu;Garrett Thomas;Lantao Yu;Stefano Ermon

  • Epigenome-wide association studies without the need for cell-type composition

    James Zou;Christoph Lippert;David Heckerman;Martin Aryee

  • Multiaccuracy: Black-Box Post-Processing for Fairness in Classification

    Michael P. Kim;Amirata Ghorbani;James Zou

  • Approximate Data Deletion from Machine Learning Models: Algorithms and Evaluations.

    Zachary Izzo;Mary Anne Smart;Kamalika Chaudhuri;James Y. Zou

Frequent Co-Authors

David C. Parkes
David C. Parkes Harvard University
Carlos Bustamante
Carlos Bustamante Stanford University
Daniel G. MacArthur
Daniel G. MacArthur Garvan Institute of Medical Research
Adam Tauman Kalai
Adam Tauman Kalai Microsoft (United States)
Howard Y. Chang
Howard Y. Chang Amgen (United States)
David Tse
David Tse Stanford University
Gregory Valiant
Gregory Valiant Stanford University
Manuel A. Rivas
Manuel A. Rivas Stanford University
Monkol Lek
Monkol Lek Yale University
Konrad J. Karczewski
Konrad J. Karczewski Harvard 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

Exploring online degrees opens up a wide range of career possibilities beyond traditional computer science. For those interested in sustainability, understanding what can you do with an environmental science degree provides insight into roles such as environmental consultant, conservation officer, or data analyst for green initiatives. These careers often intersect with tech, utilising data and software skills learned in computer science programs.

Fast-track options are also available for prospective students seeking a shorter timeframe. For example, earning a 1 year computer science degree online is a great alternative for accelerating entry into the workforce or pivoting careers.

Interdisciplinary fields such as engineering offer additional opportunities. If you are curious about tackling environmental challenges with technical solutions, consider studying for an environmental engineer degree online. For those who prefer a focus on innovation and product design, an online degree in mechanical engineering can lead to careers in robotics, manufacturing, or automation—sectors with growing demand for computer science expertise.

Best Scientists Citing James Zou

Trending Scientists

Recently Published Articles