Jeff Dean
Impact in
- Health Informatics top 0.05%
- Artificial Intelligence in Healthcare and Education
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- Multimodal Machine Learning Applications
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
Papers in
-
- Machine Learning and Data Classification 2
- Domain Adaptation and Few-Shot Learning 2
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- Advanced Neural Network Applications 3
- Advanced Image and Video Retrieval Techniques 2
- Co-authors
- Greg S. Corrado (5 shared papers)Katherine Chou (3 shared papers)Andre Esteva (2 shared papers)Volodymyr Kuleshov (1 shared paper)Mark A. DePristo (1 shared paper)Bharath Ramsundar (1 shared paper)Claire Murong Cui (1 shared paper)Sebastian Thrun (1 shared paper)
- Journals
- Nature (2 papers)Nature Medicine (1 paper)Computer (1 paper)BMC Medical Informatics and Decision Making (1 paper)npj Digital Medicine (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Jeff Dean
17 papers receiving 7.1k citations
Jeff Dean's Hit Papers
Peers
Comparison fields: 5 of 207
- Health Informatics 848
- Computer Vision and Pattern Recognition 2.4k
- Artificial Intelligence 3.2k
- Health Information Management 372
- Radiology, Nuclear Medicine and Imaging 1.2k
Countries citing papers authored by Jeff Dean
This map shows the geographic impact of Jeff Dean's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jeff Dean with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeff Dean more than expected).
Fields of papers citing papers by Jeff Dean
This network shows the impact of papers produced by Jeff Dean. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jeff Dean. The network helps show where Jeff Dean may publish in the future.
Co-authors
The 25 scholars most cited alongside Jeff Dean, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | A guide to deep learning in healthcare Hit paper breakdown → | 2018 | 3088 |
| 2 | DeViSE: A Deep Visual-Semantic Embedding Model Hit paper breakdown → | 2013 | 1400 |
| 3 | Deep learning-enabled medical computer vision Hit paper breakdown → | 2021 | 890 |
| 4 | Efficient Neural Architecture Search via Parameters Sharing Hit paper breakdown → | 2018 | 672 |
| 5 | Building high-level features using large scale unsupervised learning Hit paper breakdown → | 2012 | 477 |
| 6 | A graph placement methodology for fast chip design Hit paper breakdown → | 2021 | 386 |
| 7 | The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink Hit paper breakdown → | 2022 | 211 |
| 8 | 2018 | 121 | |
| 9 | A Hierarchical Model for Device Placement | 2018 | 59 |
| 10 | Appendix: Building high-level features using large scale unsupervised learning | 2012 | 30 |
| 11 | 2020 | 28 | |
| 12 | Faster Discovery of Neural Architectures by Searching for Paths in a Large Model | 2018 | 10 |
| 13 | 2024 | 7 | |
| 14 | 2023 | 5 | |
| 15 | 2019 | 3 | |
| 16 | 2015 | 3 | |
| 17 | 1982 | 2 | |
| 18 | 2025 | 0 | |
| 19 | 1983 | 0 |
About Jeff Dean
Jeff Dean is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Hardware and Architecture, History and Health Informatics, having authored 19 papers that have together received 7.4k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (3 papers), Advanced Image and Video Retrieval Techniques (2 papers), Machine Learning and Data Classification (2 papers), Domain Adaptation and Few-Shot Learning (2 papers), COVID-19 diagnosis using AI (2 papers), Photography and Visual Culture (2 papers), VLSI and FPGA Design Techniques (2 papers) and Low-power high-performance VLSI design (2 papers). The work is most often cited by research in Health Informatics (848 citations), Computer Vision and Pattern Recognition (2.4k citations), Artificial Intelligence (3.2k citations), Health Information Management (372 citations) and Radiology, Nuclear Medicine and Imaging (1.2k citations). Jeff Dean has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Greg S. Corrado, Katherine Chou, Andre Esteva, Volodymyr Kuleshov, Mark A. DePristo, Bharath Ramsundar, Claire Murong Cui, Sebastian Thrun, Marc’Aurelio Ranzato and Quoc Viet Le. Their work appears in journals such as Nature, Nature Medicine, Computer, BMC Medical Informatics and Decision Making and npj Digital Medicine.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.