Standout Papers

Distributed Representations of Words and Phrases and their Compositionality 2012 2026 2016 2021 6.0k
  1. Distributed Representations of Words and Phrases and their Compositionality (2013)
    Tomáš Mikolov, Ilya Sutskever et al. arXiv (Cornell University)
  2. A guide to deep learning in healthcare (2018)
    Andre Esteva, Bharath Ramsundar et al. Nature Medicine
  3. Key challenges for delivering clinical impact with artificial intelligence (2019)
    Christopher Kelly, Alan Karthikesalingam et al. BMC Medicine
  4. End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography (2019)
    Diego Ardila, Atilla P. Kiraly et al. Nature Medicine
  5. Large Scale Distributed Deep Networks (2012)
    Jay B. Dean, Greg S. Corrado et al. Neural Information Processing Systems
  6. Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning (2018)
    Ryan Poplin, Avinash V. Varadarajan et al. Nature Biomedical Engineering
  7. Matching Behavior and the Representation of Value in the Parietal Cortex (2004)
    Leo P. Sugrue, Greg S. Corrado et al. Science
  8. DeViSE: A Deep Visual-Semantic Embedding Model (2013)
    Andrea Frome, Greg S. Corrado et al. Neural Information Processing Systems
  9. Google’s Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation (2017)
    Melvin Johnson, Mike Schuster et al. Transactions of the Association for Computational Linguistics
  10. Ensuring Fairness in Machine Learning to Advance Health Equity (2018)
    Alvin Rajkomar, Michaela Hardt et al. Annals of Internal Medicine
  11. Grader Variability and the Importance of Reference Standards for Evaluating Machine Learning Models for Diabetic Retinopathy (2018)
    Jonathan Krause, Varun Gulshan et al. Ophthalmology
  12. Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer (2019)
    Kunal Nagpal, Davis Foote et al. npj Digital Medicine
  13. Using a Deep Learning Algorithm and Integrated Gradients Explanation to Assist Grading for Diabetic Retinopathy (2018)
    Rory Sayres, Ankur Taly et al. Ophthalmology
  14. Three Epochs of Artificial Intelligence in Health Care (2024)
    Michael Howell, Greg S. Corrado et al. JAMA

Immediate Impact

19 by Nobel laureates 32 from Science/Nature 143 standout
Sub-graph 1 of 16

Citing Papers

Large language models in medicine
2023 Standout
All-analog photoelectronic chip for high-speed vision tasks
2023 StandoutNature
45 intermediate papers

Works of Greg S. Corrado being referenced

A guide to deep learning in healthcare
2018 Standout
Distributed Representations of Words and Phrases and their Compositionality
2013 Standout
and 16 more

Author Peers

Author Last Decade Papers Cites
Greg S. Corrado 8992 3990 2085 3018 48 17.7k
Sebastian Thrun 10704 2940 1638 12859 164 31.5k
Richard Socher 12893 3120 372 16159 45 30.4k
Jonathan Krause 6713 2758 448 10197 34 18.8k
Andre Esteva 4059 3170 1737 1224 29 10.2k
Karen Simonyan 14069 4188 330 21411 44 44.1k
Aaron Courville 10334 2343 264 10108 70 26.5k
Li-Jia Li 11399 2910 294 18057 32 29.3k
Michael S. Bernstein 8114 2114 257 11883 94 21.7k
Taghi M. Khoshgoftaar 9095 2411 296 3675 303 23.3k
Lawrence Hall 10315 5082 276 3970 169 24.0k

All Works

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2026