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Computer Science
USA
2026

D-Index & Metrics

Computer Science

D-Index
139
Citations
197072
World Ranking
68
National Ranking
40

Andrew Y. Ng 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 Andrew Y. Ng 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: 315 publications — 76th percentile

76% of scientists in this discipline score the same or lower.

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

Andrew Y. Ng 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 Andrew Y. Ng 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: 139 D-Index — 100th percentile

100% 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

  • 2026 - Research.com Computer Science in United States Leader Award
  • 2025 - Research.com Computer Science in United States Leader Award
  • 2023 - Research.com Computer Science in United States Leader Award
  • 2022 - Research.com Computer Science in United States Leader Award
  • 2007 - Fellow of Alfred P. Sloan Foundation
  • 1998 - Fellow of American Physical Society (APS) Citation For original contributions to the understanding of optical probing of shock waves and twotemperature nonequilibrium shock states, and for the use of laserdriven shocks in advancing research on high density matter

Overview

Andrew Y. Ng is affiliated with Stanford University in the United States. Their research primarily spans the fields of Medicine and Computer Science, focusing on the application of artificial intelligence within healthcare. Among their main subfields of study are Artificial Intelligence, Health Informatics, Radiology, Nuclear Medicine and Imaging, as well as aspects of Public Health and Reproductive Medicine.

Their published work addresses several significant topics including AI in cancer detection, artificial intelligence in healthcare and education, radiomics and machine learning in medical imaging, reproductive biology and fertility, ovarian function and disorders, and renal and related cancers.

Frequent coauthors in their research include Ben Glocker, Peter D. Kecskemethy, Nisha Sharma, Cary Oberije, and Éva Ambrózay. Their publications have appeared in notable venues such as Nature Medicine, BMC Cancer, BMJ Health & Care Informatics, Scientific Reports, and the ISRCTN registry.

Selected recent papers authored or coauthored by Andrew Y. Ng include:

  • Prospective implementation of AI-assisted screen reading to improve early detection of breast cancer (2023), Nature Medicine
  • Multi-vendor evaluation of artificial intelligence as an independent reader for double reading in breast cancer screening on 275,900 mammograms (2023), BMC Cancer
  • A proof of concept for a deep learning system that can aid embryologists in predicting blastocyst survival after thaw (2022), Scientific Reports
  • Assessing artificial intelligence in breast screening with stratified results on 306,839 mammograms across geographic regions, age, breast density and ethnicity: A Retrospective Investigation Evaluating Screening (ARIES) study (2025), BMJ Health & Care Informatics
  • A prospective study to assess the impact and benefits of an artificial intelligence system in double reading for breast cancer screening (2023), ISRCTN registry

Recognitions awarded to Andrew Y. Ng include fellowship with the Alfred P. Sloan Foundation in 2007 and fellowship of the American Physical Society in 1998, the latter acknowledging contributions to the understanding of optical probing of shock waves and laser-driven shocks in high-density matter research.

Best Publications

  • Latent dirichlet allocation

    David M. Blei;Andrew Y. Ng;Michael I. Jordan

  • On Spectral Clustering: Analysis and an algorithm

    Andrew Y. Ng;Michael I. Jordan;Yair Weiss

  • Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank

    Richard Socher;Alex Perelygin;Jean Wu;Jason Chuang

  • Reading Digits in Natural Images with Unsupervised Feature Learning

    Yuval Netzer;Tao Wang;Adam Coates;Alessandro Bissacco

  • Learning Word Vectors for Sentiment Analysis

    Andrew L. Maas;Raymond E. Daly;Peter T. Pham;Dan Huang

  • Large Scale Distributed Deep Networks

    Jeffrey Dean;Greg Corrado;Rajat Monga;Kai Chen

  • Distance Metric Learning with Application to Clustering with Side-Information

    Eric P. Xing;Michael I. Jordan;Stuart J Russell;Andrew Y. Ng

  • Apprenticeship learning via inverse reinforcement learning

    Pieter Abbeel;Andrew Y. Ng

  • Efficient sparse coding algorithms

    Honglak Lee;Alexis Battle;Rajat Raina;Andrew Y. Ng

  • Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations

    Honglak Lee;Roger Grosse;Rajesh Ranganath;Andrew Y. Ng

  • On Discriminative vs. Generative Classifiers: A comparison of logistic regression and naive Bayes

    Andrew Y. Ng;Michael I. Jordan

  • An analysis of single-layer networks in unsupervised feature learning

    Adam Coates;Andrew Y. Ng;Honglak Lee

  • Multimodal Deep Learning

    Jiquan Ngiam;Aditya Khosla;Mingyu Kim;Juhan Nam

  • Deep speech 2: end-to-end speech recognition in English and mandarin

    Dario Amodei;Sundaram Ananthanarayanan;Rishita Anubhai;Jingliang Bai

  • Algorithms for Inverse Reinforcement Learning

    Andrew Y. Ng;Stuart J. Russell

  • Building high-level features using large scale unsupervised learning

    Marc'aurelio Ranzato;Rajat Monga;Matthieu Devin;Kai Chen

  • Cardiologist-Level Arrhythmia Detection and Classification in Ambulatory Electrocardiograms Using a Deep Neural Network

    Awni Y. Hannun;Pranav Rajpurkar;Masoumeh Haghpanahi;Geoffrey H. Tison

  • Cheap and Fast -- But is it Good? Evaluating Non-Expert Annotations for Natural Language Tasks

    Rion Snow;Brendan O'Connor;Daniel Jurafsky;Andrew Ng

  • Feature selection, L1 vs. L2 regularization, and rotational invariance

    Andrew Y. Ng

  • CheXpert: A large chest radiograph dataset with uncertainty labels and expert comparison

    Jeremy Irvin;Pranav Rajpurkar;Michael Ko;Yifan Yu

  • Policy Invariance Under Reward Transformations: Theory and Application to Reward Shaping

    Andrew Y. Ng;Daishi Harada;Stuart J. Russell

  • CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning

    Pranav Rajpurkar;Jeremy Irvin;Kaylie Zhu;Brandon Yang

  • Deep Speech 2: End-to-End Speech Recognition in English and Mandarin

    Dario Amodei;Rishita Anubhai;Eric Battenberg;Carl Case

Frequent Co-Authors

Adam Coates
Adam Coates Apple (United States)
Pieter Abbeel
Pieter Abbeel University of California, Berkeley
Ashutosh Saxena
Ashutosh Saxena Cornell University
Pranav Rajpurkar
Pranav Rajpurkar Harvard University
Christopher D. Manning
Christopher D. Manning Stanford University
Quoc V. Le
Quoc V. Le Google (United States)
Honglak Lee
Honglak Lee University of Michigan–Ann Arbor
Daphne Koller
Daphne Koller insitro Inc.
Michael I. Jordan
Michael I. Jordan University of California, Berkeley

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