Eric Heiden
Impact in
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- Robotic Path Planning Algorithms
- Geology top 10%
- 3D Surveying and Cultural Heritage
Papers in
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- Robot Manipulation and Learning 6
- Robotic Mechanisms and Dynamics 2
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- Robotic Path Planning Algorithms 4
- Human Pose and Action Recognition 2
- Co-authors
- Gaurav S. Sukhatme (9 shared papers)Ali–akbar Agha–mohammadi (4 shared papers)Sven Koenig (2 shared papers)Kai O. Arras (2 shared papers)Luigi Palmieri (2 shared papers)Yun Chang (1 shared paper)Sally L. Wood (1 shared paper)Kamak Ebadi (1 shared paper)
- Journals
- IEEE Robotics and Automation Letters (2 papers)The International Journal of Robotics Research (1 paper)Autonomous Robots (1 paper)Lecture notes in computer science (1 paper)Springer proceedings in advanced robotics (2 papers)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Eric Heiden
19 papers receiving 296 citations
Peers
Comparison fields: 5 of 41
- Computer Vision and Pattern Recognition 156
- Geology 38
- Aerospace Engineering 147
- Control and Systems Engineering 105
- Human-Computer Interaction 17
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
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 131 | |
| 2 | 2021 | 41 | |
| 3 | 2022 | 39 | |
| 4 | 2018 | 24 | |
| 5 | 2023 | 17 | |
| 6 | 2017 | 13 | |
| 7 | 2022 | 12 | |
| 8 | 2023 | 5 | |
| 9 | 2022 | 5 | |
| 10 | 2017 | 4 | |
| 11 | 2019 | 3 | |
| 12 | 2020 | 2 | |
| 13 | 2020 | 1 | |
| 14 | 2025 | 1 | |
| 15 | 2009 | 1 | |
| 16 | Real2Sim Transfer using Differentiable Physics | 2019 | 1 |
| 17 | 2025 | 1 | |
| 18 | 2017 | 1 | |
| 19 | 2020 | 1 |
About Eric Heiden
Eric Heiden is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Aerospace Engineering, Artificial Intelligence and Biomedical Engineering, having authored 19 papers that have together received 303 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (6 papers), Robotics and Sensor-Based Localization (6 papers), Robotic Path Planning Algorithms (4 papers), Autonomous Vehicle Technology and Safety (3 papers), Human Pose and Action Recognition (2 papers), Soft Robotics and Applications (2 papers), Robotic Mechanisms and Dynamics (2 papers) and Indoor and Outdoor Localization Technologies (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (156 citations), Geology (38 citations), Aerospace Engineering (147 citations), Control and Systems Engineering (105 citations) and Human-Computer Interaction (17 citations). Eric Heiden has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Gaurav S. Sukhatme, Ali–akbar Agha–mohammadi, Sven Koenig, Kai O. Arras, Luigi Palmieri, Yun Chang, Sally L. Wood, Kamak Ebadi, Matteo Palieri and Nobuhiro Funabiki. Their work appears in journals such as IEEE Robotics and Automation Letters, The International Journal of Robotics Research, Autonomous Robots, Lecture notes in computer science and Springer proceedings in advanced 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.