Eric Eaton

2.5k citations
68 papers · 1.5k · 1 hit paper · h-index 21

Impact in

    • Domain Adaptation and Few-Shot Learning
    • Reinforcement Learning in Robotics
    • Machine Learning and Algorithms
    • Machine Learning and ELM
    • Machine Learning and Data Classification
    • Data Stream Mining Techniques

Papers in

Eric Eaton

59 papers receiving 1.4k citations

Eric Eaton's Hit Papers

Computer Science Curricula 2023 2024 · 75 citations
750+1Years since publication255075

Peers

Eric Eaton
Comparison fields: 5 of 129
  • Health Informatics 38
  • Artificial Intelligence 832
  • Computer Vision and Pattern Recognition 335
  • Computer Science Applications 80
  • Media Technology 85
Replace Lisa Torrey with:
Lisa Torrey United States
Jianghui Cai China
Haiman Tian United States
Xuefeng Liu China
Yilin Yan United States
Sercan Ö. Arık United States
Maria Presa Reyes United States
Saad Sadiq United States
Quanshi Zhang China
Saurabh Singh India
Eric Eaton relative to Lisa Torrey United States Lisa Torrey's profile →
Citations per field
00.5×2.8×
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Citations per year

Countries citing papers authored by Eric Eaton

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Eric Eaton Line = papers co-authored together Eric Eaton links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1
ELLA: An Efficient Lifelong Learning Algorithm
2013167
2 2019141
3
Online Multi-Task Learning for Policy Gradient Methods
201497
4 201687
5
Computer Science Curricula 2023
Hit paper breakdown →
202475
6 201971
7 201966
8 201963
9 201955
10 201151
11 201550
12 200849
13
Using task features for zero-shot knowledge transfer in lifelong learning
201643
14 201343
15 201839
16
An automated measure of MDP similarity for transfer in reinforcement learning
201433
17
Autonomous cross-domain knowledge transfer in lifelong policy gradient reinforcement learning
201532
18 201430
19 200930
20 201025

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 68 papers that have together received 1.5k indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (23 papers), Reinforcement Learning in Robotics (11 papers), Multimodal Machine Learning Applications (7 papers), Adaptive Dynamic Programming Control (6 papers), Advanced Neural Network Applications (5 papers), Machine Learning and Algorithms (5 papers), Advanced Bandit Algorithms Research (5 papers) and Advanced Image and Video Retrieval Techniques (4 papers). The work is most often cited by research in Health Informatics (38 citations), Artificial Intelligence (832 citations), Computer Vision and Pattern Recognition (335 citations), Computer Science Applications (80 citations) and Media Technology (85 citations). Eric Eaton has collaborated with scholars based in United States, United Kingdom and Ireland. Frequent co-authors include Paul Ruvolo, Marie desJardins, Mohammad Rostami, Haitham Bou Ammar, Soheil Kolouri, Kyungnam Kim, 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, Energy and Remote Sensing.

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.

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