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 5
- Robotic Mechanisms and Dynamics 2
- Software 1
- Co-authors
- Gaurav S. Sukhatme (8 shared papers)Ali‐akbar Agha‐mohammadi (2 shared papers)Luigi Palmieri (2 shared papers)Kai O. Arras (2 shared papers)Sven Koenig (2 shared papers)Abhishek Thakur (1 shared paper)Sally L. Wood (1 shared paper)Benjamin Morrell (1 shared paper)
- Journals
- IEEE Robotics and Automation Letters (2 papers)The International Journal of Robotics Research (1 paper)Autonomous Robots (1 paper)2022 International Conference on Robotics and Automation (ICRA) (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Eric Heiden
15 papers receiving 230 citations
Peers
Comparison fields: 5 of 40
- Computer Vision and Pattern Recognition 131
- Geology 35
- Aerospace Engineering 130
- Control and Systems Engineering 66
- Automotive Engineering 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 | 120 | |
| 2 | 2021 | 37 | |
| 3 | 2018 | 23 | |
| 4 | 2023 | 14 | |
| 5 | 2022 | 12 | |
| 6 | 2017 | 11 | |
| 7 | 2022 | 5 | |
| 8 | 2023 | 4 | |
| 9 | 2017 | 3 | |
| 10 | 2020 | 2 | |
| 11 | 2017 | 1 | |
| 12 | 2009 | 1 | |
| 13 | 2025 | 1 | |
| 14 | Real2Sim Transfer using Differentiable Physics | 2019 | 1 |
| 15 | 2020 | 1 | |
| 16 | 2025 | 0 |
About Eric Heiden
Eric Heiden is a scholar working on Control and Systems Engineering, Software, Physical Therapy, Sports Therapy and Rehabilitation, Computer Vision and Pattern Recognition and Geology, having authored 16 papers that have together received 236 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (5 papers), Robotics and Sensor-Based Localization (4 papers), Robotic Path Planning Algorithms (3 papers), Soft Robotics and Applications (2 papers), Robotic Mechanisms and Dynamics (2 papers), Gaussian Processes and Bayesian Inference (2 papers), Model Reduction and Neural Networks (2 papers) and Autonomous Vehicle Technology and Safety (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (131 citations), Geology (35 citations), Aerospace Engineering (130 citations), Control and Systems Engineering (66 citations) and Automotive Engineering (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, Luigi Palmieri, Kai O. Arras, Sven Koenig, Abhishek Thakur, Sally L. Wood, Benjamin Morrell, Kamak Ebadi and Yun Chang. Their work appears in journals such as IEEE Robotics and Automation Letters, The International Journal of Robotics Research, Autonomous Robots, 2022 International Conference on Robotics and Automation (ICRA) and arXiv (Cornell University).
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.