Eric Heiden
Impact in
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- Robot Manipulation and Learning
- Robotics and Automated Systems
- Aerospace Engineering top 5%
- Robotics and Sensor-Based Localization
Papers in
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- Reinforcement Learning in Robotics 9
- Domain Adaptation and Few-Shot Learning 1
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- Robot Manipulation and Learning 5
- Control Systems and Identification 1
- Co-authors
- Gaurav S. Sukhatme (11 shared papers)David Millard (3 shared papers)Erwin Coumans (2 shared papers)Ali–akbar Agha–mohammadi (4 shared papers)Miles Macklin (4 shared papers)Animesh Garg (4 shared papers)Kai O. Arras (2 shared papers)Fabio Tozeto Ramos (5 shared papers)
- Journals
- IEEE Robotics and Automation Letters (2 papers)Autonomous Robots (1 paper)The International Journal of Robotics Research (1 paper)Lecture notes in computer science (1 paper)Proceedings - IEEE International Conference on Robotics and Automation/Proceedings (6 papers)
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
Eric Heiden
22 papers receiving 521 citations
Peers
Comparison fields: 5 of 36
- Control and Systems Engineering 177
- Aerospace Engineering 173
- Computer Vision and Pattern Recognition 133
- Computer Graphics and Computer-Aided Design 17
- Artificial Intelligence 108
Countries citing papers authored by Eric Heiden
This map shows the geographic impact of Eric Heiden'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 Heiden with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Heiden more than expected).
Fields of papers citing papers by Eric Heiden
This network shows the impact of papers produced by Eric Heiden. 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 Heiden. The network helps show where Eric Heiden may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Heiden, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 142 | |
| 2 | 2021 | 84 | |
| 3 | 2021 | 55 | |
| 4 | 2021 | 47 | |
| 5 | 2022 | 46 | |
| 6 | 2022 | 44 | |
| 7 | 2018 | 25 | |
| 8 | 2023 | 20 | |
| 9 | 2017 | 17 | |
| 10 | 2022 | 11 | |
| 11 | 2020 | 10 | |
| 12 | 2023 | 6 | |
| 13 | 2019 | 5 | |
| 14 | 2022 | 5 | |
| 15 | 2020 | 3 | |
| 16 | Real2Sim Transfer using Differentiable Physics | 2019 | 2 |
| 17 | 2025 | 2 | |
| 18 | 2009 | 1 | |
| 19 | 2017 | 1 | |
| 20 | 2020 | 1 |
About Eric Heiden
Eric Heiden is a scholar working on Artificial Intelligence, Control and Systems Engineering, Computer Vision and Pattern Recognition, Aerospace Engineering and Instrumentation, having authored 22 papers that have together received 529 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (9 papers), Robotics and Sensor-Based Localization (5 papers), Robot Manipulation and Learning (5 papers), Robotic Path Planning Algorithms (4 papers), Soft Robotics and Applications (2 papers), Control Systems and Identification (1 paper), Domain Adaptation and Few-Shot Learning (1 paper) and Motor Control and Adaptation (1 paper). The work is most often cited by research in Control and Systems Engineering (177 citations), Aerospace Engineering (173 citations), Computer Vision and Pattern Recognition (133 citations), Computer Graphics and Computer-Aided Design (17 citations) and Artificial Intelligence (108 citations). Eric Heiden has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Gaurav S. Sukhatme, David Millard, Erwin Coumans, Ali–akbar Agha–mohammadi, Miles Macklin, Animesh Garg, Kai O. Arras, Fabio Tozeto Ramos, Luigi Palmieri and Sven Koenig. Their work appears in journals such as IEEE Robotics and Automation Letters, Autonomous Robots, The International Journal of Robotics Research, Lecture notes in computer science and Proceedings - IEEE International Conference on Robotics and Automation/Proceedings.
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.