Adam Coates
Impact in
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- Advanced Image and Video Retrieval Techniques
- Advanced Neural Network Applications
- Handwritten Text Recognition Techniques
- Image Retrieval and Classification Techniques
- Artificial Intelligence top 0.5%
- Domain Adaptation and Few-Shot Learning
- Anomaly Detection Techniques and Applications
- Reinforcement Learning in Robotics
Papers in
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- Advanced Image and Video Retrieval Techniques 8
- Robotic Path Planning Algorithms 4
- Advanced Neural Network Applications 4
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- Domain Adaptation and Few-Shot Learning 4
- Reinforcement Learning in Robotics 4
- Speech Recognition and Synthesis 3
- Co-authors
- Andrew Y. Ng (17 shared papers)Honglak Lee (1 shared paper)David J. Wu (3 shared papers)Tao Wang (3 shared papers)Pieter Abbeel (5 shared papers)Quoc V. Le (2 shared papers)Jiquan Ngiam (1 shared paper)Bryan Catanzaro (2 shared papers)
- Journals
- The International Journal of Robotics Research (2 papers)Data in Brief (1 paper)Journal of Vision (1 paper)Communications of the ACM (1 paper)Imaging Neuroscience (1 paper)
- Partner nations
- United StatesAustriaChina
In The Last Decade
Adam Coates
27 papers receiving 4.2k citations
Adam Coates's Hit Papers
Peers
Comparison fields: 5 of 156
- Computer Vision and Pattern Recognition 2.5k
- Artificial Intelligence 2.0k
- Media Technology 509
- Computational Mathematics 28
- Signal Processing 407
Countries citing papers authored by Adam Coates
This map shows the geographic impact of Adam Coates'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 Adam Coates with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adam Coates more than expected).
Fields of papers citing papers by Adam Coates
This network shows the impact of papers produced by Adam Coates. 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 Adam Coates. The network helps show where Adam Coates may publish in the future.
Co-authors
The 25 scholars most cited alongside Adam Coates, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | An analysis of single-layer networks in unsupervised feature learning Hit paper breakdown → | 2011 | 1395 |
| 2 | On optimization methods for deep learning Hit paper breakdown → | 2011 | 573 |
| 3 | End-to-End Text Recognition with Convolutional Neural Networks Hit paper breakdown → | 2012 | 541 |
| 4 | Autonomous Helicopter Aerobatics through Apprenticeship Learning Hit paper breakdown → | 2010 | 375 |
| 5 | Deep learning with COTS HPC systems Hit paper breakdown → | 2013 | 371 |
| 6 | The Importance of Encoding Versus Training with Sparse Coding and Vector Quantization Hit paper breakdown → | 2011 | 315 |
| 7 | 2011 | 236 | |
| 8 | 2008 | 155 | |
| 9 | 2017 | 106 | |
| 10 | 2005 | 86 | |
| 11 | 2009 | 68 | |
| 12 | Deep Voice: Real-time Neural Text-to-Speech | 2017 | 39 |
| 13 | Persistent RNNs: stashing recurrent weights on-chip | 2016 | 36 |
| 14 | 2010 | 34 | |
| 15 | 2009 | 32 | |
| 16 | 2011 | 30 | |
| 17 | Emergence of Object-Selective Features in Unsupervised Feature Learning | 2012 | 25 |
| 18 | 2008 | 13 | |
| 19 | 2007 | 12 | |
| 20 | Lookahead Convolution Layer for Unidirectional Recurrent Neural Networks | 2016 | 5 |
About Adam Coates
Adam Coates is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Aerospace Engineering, Signal Processing and Electrical and Electronic Engineering, having authored 28 papers that have together received 4.5k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (8 papers), Robotics and Sensor-Based Localization (5 papers), Robotic Path Planning Algorithms (4 papers), Advanced Neural Network Applications (4 papers), Domain Adaptation and Few-Shot Learning (4 papers), Reinforcement Learning in Robotics (4 papers), Music and Audio Processing (3 papers) and Speech Recognition and Synthesis (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.5k citations), Artificial Intelligence (2.0k citations), Media Technology (509 citations), Computational Mathematics (28 citations) and Signal Processing (407 citations). Adam Coates has collaborated with scholars based in United States, Austria and China. Frequent co-authors include Andrew Y. Ng, Honglak Lee, David J. Wu, Tao Wang, Pieter Abbeel, Quoc V. Le, Jiquan Ngiam, Bryan Catanzaro, Andrew Ng and Brody Huval. Their work appears in journals such as The International Journal of Robotics Research, Data in Brief, Journal of Vision, Communications of the ACM and Imaging Neuroscience.
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.