Eric Eaton
Impact in
- Health Informatics top 5%
- Artificial Intelligence top 2%
- Domain Adaptation and Few-Shot Learning
- Reinforcement Learning in Robotics
- Machine Learning and ELM
- Machine Learning and Algorithms
- Data Stream Mining Techniques
Papers in
-
- Domain Adaptation and Few-Shot Learning 21
- Reinforcement Learning in Robotics 11
- Machine Learning and Data Classification 4
- Machine Learning and Algorithms 4
-
- Multimodal Machine Learning Applications 6
- Advanced Neural Network Applications 5
- Co-authors
- Paul Ruvolo (7 shared papers)Mohammad Rostami (7 shared papers)Marie desJardins (7 shared papers)Soheil Kolouri (4 shared papers)Kyungnam Kim (3 shared papers)Haitham Bou Ammar (7 shared papers)Matthew E. Taylor (4 shared papers)Julia Reid (1 shared paper)
- Journals
- AI Magazine (4 papers)Space Weather (2 papers)Current Opinion in Ophthalmology (1 paper)Scientific Reports (1 paper)International Journal of Radiation Oncology*Biology*Physics (1 paper)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Eric Eaton
58 papers receiving 1.2k citations
Eric Eaton's Hit Papers
Peers
Comparison fields: 5 of 129
- Health Informatics 37
- Artificial Intelligence 670
- Computer Vision and Pattern Recognition 279
- Computer Science Applications 68
- Media Technology 80
Countries citing papers authored by Eric Eaton
This map shows the geographic impact of Eric Eaton'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 Eric Eaton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Eaton more than expected).
Fields of papers citing papers by Eric Eaton
This network shows the impact of papers produced by Eric Eaton. 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 Eric Eaton. The network helps show where Eric Eaton may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Eaton, 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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | ELLA: An Efficient Lifelong Learning Algorithm | 2013 | 144 |
| 2 | 2019 | 136 | |
| 3 | 2016 | 75 | |
| 4 | Online Multi-Task Learning for Policy Gradient Methods | 2014 | 74 |
| 5 | 2019 | 64 | |
| 6 | 2019 | 59 | |
| 7 | Computer Science Curricula 2023 Hit paper breakdown → | 2024 | 59 |
| 8 | 2019 | 53 | |
| 9 | 2019 | 50 | |
| 10 | 2011 | 42 | |
| 11 | Using task features for zero-shot knowledge transfer in lifelong learning | 2016 | 41 |
| 12 | 2013 | 39 | |
| 13 | 2018 | 33 | |
| 14 | 2015 | 31 | |
| 15 | Autonomous cross-domain knowledge transfer in lifelong policy gradient reinforcement learning | 2015 | 30 |
| 16 | An automated measure of MDP similarity for transfer in reinforcement learning | 2014 | 29 |
| 17 | 2014 | 28 | |
| 18 | 2009 | 27 | |
| 19 | 2010 | 23 | |
| 20 | 2006 | 19 |
About Eric Eaton
Eric Eaton is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Management Science and Operations Research and Signal Processing, having authored 64 papers that have together received 1.2k indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (21 papers), Reinforcement Learning in Robotics (11 papers), Adaptive Dynamic Programming Control (6 papers), Multimodal Machine Learning Applications (6 papers), Advanced Neural Network Applications (5 papers), Advanced Bandit Algorithms Research (5 papers), Machine Learning and Data Classification (4 papers) and Machine Learning and Algorithms (4 papers). The work is most often cited by research in Health Informatics (37 citations), Artificial Intelligence (670 citations), Computer Vision and Pattern Recognition (279 citations), Computer Science Applications (68 citations) and Media Technology (80 citations). Eric Eaton has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Paul Ruvolo, Mohammad Rostami, Marie desJardins, Soheil Kolouri, Kyungnam Kim, Haitham Bou Ammar, Matthew E. Taylor, Julia Reid, José Marcio Luna and Lyle Ungar. Their work appears in journals such as AI Magazine, Space Weather, Current Opinion in Ophthalmology, Scientific Reports and International Journal of Radiation Oncology*Biology*Physics.
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.