David Isele
Impact in
- Automotive Engineering top 10%
- Autonomous Vehicle Technology and Safety
- Artificial Intelligence top 5%
- Domain Adaptation and Few-Shot Learning
- Reinforcement Learning in Robotics
- Machine Learning and ELM
- Anomaly Detection Techniques and Applications
Papers in
-
- Reinforcement Learning in Robotics 12
- Domain Adaptation and Few-Shot Learning 3
- Anomaly Detection Techniques and Applications 2
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- Autonomous Vehicle Technology and Safety 13
- Transportation and Mobility Innovations 5
- Co-authors
- Akansel Cosgun (2 shared papers)Kikuo Fujimura (9 shared papers)Eric Eaton (3 shared papers)Sangjae Bae (20 shared papers)Mohammad Rostami (2 shared papers)Mykel J. Kochenderfer (4 shared papers)Jiachen Li (3 shared papers)Keuntaek Lee (2 shared papers)
- Journals
- IEEE Robotics and Automation Letters (4 papers)The International Journal of Robotics Research (1 paper)Computers in Biology and Medicine (1 paper)Journal of Artificial Intelligence Research (1 paper)IEEE Transactions on Robotics (1 paper)
- Partner nations
- United StatesJapanSouth Korea
In The Last Decade
David Isele
33 papers receiving 498 citations
Peers
Comparison fields: 5 of 68
- Automotive Engineering 119
- Artificial Intelligence 316
- Computer Vision and Pattern Recognition 177
- Control and Systems Engineering 94
- Management Science and Operations Research 27
Countries citing papers authored by David Isele
This map shows the geographic impact of David Isele'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 David Isele with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Isele more than expected).
Fields of papers citing papers by David Isele
This network shows the impact of papers produced by David Isele. 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 David Isele. The network helps show where David Isele may publish in the future.
Co-authors
The 25 scholars most cited alongside David Isele, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 215 | |
| 2 | 2021 | 47 | |
| 3 | Using task features for zero-shot knowledge transfer in lifelong learning | 2016 | 43 |
| 4 | 2022 | 22 | |
| 5 | 2022 | 22 | |
| 6 | 2021 | 22 | |
| 7 | 2019 | 14 | |
| 8 | 2020 | 13 | |
| 9 | 2023 | 12 | |
| 10 | CM3: Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning | 2020 | 10 |
| 11 | 2019 | 10 | |
| 12 | 2016 | 8 | |
| 13 | 2024 | 7 | |
| 14 | 2017 | 7 | |
| 15 | 2023 | 7 | |
| 16 | 2022 | 7 | |
| 17 | To Go or Not to Go: A Case for Q-Learning at Unsignalized Intersections | 2017 | 6 |
| 18 | 2022 | 5 | |
| 19 | 2024 | 5 | |
| 20 | 2023 | 5 |
About David Isele
David Isele is a scholar working on Artificial Intelligence, Automotive Engineering, Computer Vision and Pattern Recognition, Control and Systems Engineering and Information Systems, having authored 41 papers that have together received 516 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (13 papers), Reinforcement Learning in Robotics (12 papers), Robotic Path Planning Algorithms (11 papers), Traffic control and management (8 papers), Transportation and Mobility Innovations (5 papers), Domain Adaptation and Few-Shot Learning (3 papers), Advanced Control Systems Optimization (3 papers) and Anomaly Detection Techniques and Applications (2 papers). The work is most often cited by research in Automotive Engineering (119 citations), Artificial Intelligence (316 citations), Computer Vision and Pattern Recognition (177 citations), Control and Systems Engineering (94 citations) and Management Science and Operations Research (27 citations). David Isele has collaborated with scholars based in United States, Japan and South Korea. Frequent co-authors include Akansel Cosgun, Kikuo Fujimura, Eric Eaton, Sangjae Bae, Mohammad Rostami, Mykel J. Kochenderfer, Jiachen Li, Keuntaek Lee, Liting Sun and Ran Tian. Their work appears in journals such as IEEE Robotics and Automation Letters, The International Journal of Robotics Research, Computers in Biology and Medicine, Journal of Artificial Intelligence Research and IEEE Transactions on Robotics.
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.