World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
88
Citations
230681
World Ranking
651
National Ranking
344

Research.com Recognitions

  • 2021 - IEEE John von Neumann Medal “For contributions to the science and engineering of large-scale distributed computer systems and artificial intelligence systems.”
  • 2016 - Fellow of the American Academy of Arts and Sciences
  • 2013 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2012 - ACM Prize in Computing For their leadership in the science and engineering of Internet-scale distributed systems.
  • 2009 - ACM Fellow For contributions to the science and engineering of large-scale distributed computer systems.
  • 2009 - Member of the National Academy of Engineering For contributions to the science and engineering of large-scale distributed computer systems.

Overview

Jeffrey Dean is affiliated with Google in the United States and has a research focus primarily in the field of Medicine, with a significant number of publications related to Emergency Medicine, Public Health, Environmental and Occupational Health, Biomedical Engineering, General Health Professions, and Pulmonary and Respiratory Medicine.

Their work covers a range of main topics, including:

  • Cardiac Arrest and Resuscitation
  • Ethics in Clinical Research
  • Mechanical Circulatory Support Devices
  • Health and Medical Research Impacts
  • Meta-analysis and systematic reviews
  • Sepsis Diagnosis and Treatment
  • Autoimmune and Inflammatory Disorders Research

Frequent publication venues for Jeffrey Dean include:

  • Journal of Clinical and Translational Science
  • Resuscitation
  • Pediatric Rheumatology
  • Critical Care
  • Pediatric Critical Care Medicine

They have collaborated extensively with the following co-authors:

  • Robert A. Berg
  • Kathleen L. Meert
  • Andrew R. Yates
  • Joseph A. Carcillo
  • Murray M. Pollack

Recent research papers by Jeffrey Dean include:

  • The physiologic response to epinephrine and pediatric cardiopulmonary resuscitation outcomes, 2023, published in Critical Care
  • Decentralized clinical trials in the trial innovation network: Value, strategies, and lessons learned, 2023, published in Journal of Clinical and Translational Science
  • Associations Between End-Tidal Carbon Dioxide During Pediatric Cardiopulmonary Resuscitation, Cardiopulmonary Resuscitation Quality, and Survival, 2023, published in Circulation
  • Sodium Bicarbonate Use During Pediatric Cardiopulmonary Resuscitation: A Secondary Analysis of the ICU-RESUScitation Project Trial*, 2022, published in Pediatric Critical Care Medicine
  • Identification of post-cardiac arrest blood pressure thresholds associated with outcomes in children: an ICU-Resuscitation study, 2023, published in Critical Care

Jeffrey Dean's research contributions have been recognized through several awards and honors, including:

  • IEEE John von Neumann Medal, 2021, for contributions to the science and engineering of large-scale distributed computer systems and artificial intelligence systems
  • Fellow of the American Academy of Arts and Sciences, 2016
  • Fellow of the American Association for the Advancement of Science (AAAS), 2013
  • ACM Prize in Computing, 2012, for leadership in the science and engineering of Internet-scale distributed systems
  • ACM Fellow, 2009, for contributions to large-scale distributed computer systems
  • Member of the National Academy of Engineering, 2009, for contributions to the science and engineering of large-scale distributed computer systems

Best Publications

  • Distributed Representations of Words and Phrases and their Compositionality

    Tomas Mikolov;Ilya Sutskever;Kai Chen;Greg S Corrado

  • TensorFlow: a system for large-scale machine learning

    Martín Abadi;Paul Barham;Jianmin Chen;Zhifeng Chen

  • Efficient Estimation of Word Representations in Vector Space

    Tomas Mikolov;Kai Chen;Greg S. Corrado;Jeffrey Dean

  • MapReduce: simplified data processing on large clusters

    Jeffrey Dean;Sanjay Ghemawat

  • Distilling the Knowledge in a Neural Network

    Geoffrey E. Hinton;Oriol Vinyals;Jeffrey Dean

  • TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems

    Martín Abadi;Ashish Agarwal;Paul Barham;Eugene Brevdo

  • Bigtable: A Distributed Storage System for Structured Data

    Fay Chang;Jeffrey Dean;Sanjay Ghemawat;Wilson C. Hsieh

  • Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

    Yonghui Wu;Mike Schuster;Zhifeng Chen;Quoc V. Le

  • MapReduce: simplified data processing on large clusters

    Jeffrey Dean;Sanjay Ghemawat

  • In-Datacenter Performance Analysis of a Tensor Processing Unit

    Norman P. Jouppi;Cliff Young;Nishant Patil;David Patterson

  • A guide to deep learning in healthcare.

    Andre Esteva;Alexandre Robicquet;Bharath Ramsundar;Volodymyr Kuleshov

  • Large Scale Distributed Deep Networks

    Jeffrey Dean;Greg Corrado;Rajat Monga;Kai Chen

  • Machine Learning in Medicine.

    Alvin Rajkomar;Jeffrey Dean;Isaac Kohane

  • Building high-level features using large scale unsupervised learning

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

  • DeViSE: A Deep Visual-Semantic Embedding Model

    Andrea Frome;Greg S Corrado;Jon Shlens;Samy Bengio

  • Spanner: Google’s Globally Distributed Database

    James C. Corbett;Jeffrey Dean;Michael Epstein;Andrew Fikes

  • Scalable and accurate deep learning with electronic health records

    Alvin Rajkomar;Alvin Rajkomar;Eyal Oren;Kai Chen;Andrew M. Dai

  • Scalable and accurate deep learning for electronic health records

    Alvin Rajkomar;Eyal Oren;Kai Chen;Andrew M. Dai

  • The tail at scale

    Jeffrey Dean;Luiz André Barroso

  • Efficient Neural Architecture Search via Parameters Sharing

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

  • Google's Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation

    Melvin Johnson;Mike Schuster;Quoc V. Le;Maxim Krikun

  • In-Datacenter Performance Analysis of a Tensor Processing Unit

    Norman P. Jouppi;Cliff Young;Nishant Patil;David Patterson

  • Efficient Neural Architecture Search via Parameter Sharing

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

Frequent Co-Authors

Carl A. Waldspurger
Carl A. Waldspurger DELL (United States)
William E. Weihl
William E. Weihl ClimateVoice
Sanjay Ghemawat
Sanjay Ghemawat Google (United States)
James W. Hicks
James W. Hicks University of Southern California
Greg Corrado
Greg Corrado Google (United States)
Quoc V. Le
Quoc V. Le Google (United States)
Monika Henzinger
Monika Henzinger Institute of Science and Technology Austria
Craig Chambers
Craig Chambers Google (United States)
Wilson C. Hsieh
Wilson C. Hsieh Google (United States)
Tomas Mikolov
Tomas Mikolov Czech Technical University in Prague

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