Sehoon Ha
Impact in
-
- Robotic Path Planning Algorithms
- Human Pose and Action Recognition
Papers in
-
- Robot Manipulation and Learning 19
- Human Motion and Animation 11
-
- Human Pose and Action Recognition 16
- Robotic Path Planning Algorithms 6
- Multimodal Machine Learning Applications 6
- Co-authors
- Sergey Levine (4 shared papers)Katsu Yamane (8 shared papers)Jie Tan (2 shared papers)George Tucker (1 shared paper)Tuomas Haarnoja (1 shared paper)Joohyung Kim (5 shared papers)Jie Tan (9 shared papers)Aurick Zhou (1 shared paper)
- Journals
- IEEE Robotics and Automation Letters (8 papers)Computer Graphics Forum (2 papers)ACM Transactions on Graphics (2 papers)Science Robotics (2 papers)The International Journal of Robotics Research (2 papers)
- Partner nations
- United StatesSouth KoreaCanada
In The Last Decade
Sehoon Ha
61 papers receiving 1.7k citations
Sehoon Ha's Hit Papers
Peers
Comparison fields: 5 of 111
- Computer Vision and Pattern Recognition 645
- Computer Graphics and Computer-Aided Design 102
- Control and Systems Engineering 572
- Human-Computer Interaction 79
- Biomedical Engineering 568
Countries citing papers authored by Sehoon Ha
This map shows the geographic impact of Sehoon Ha'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 Sehoon Ha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sehoon Ha more than expected).
Fields of papers citing papers by Sehoon Ha
This network shows the impact of papers produced by Sehoon Ha. 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 Sehoon Ha. The network helps show where Sehoon Ha may publish in the future.
Co-authors
The 25 scholars most cited alongside Sehoon Ha, 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 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Iterative Training of Dynamic Skills Inspired by Human Coaching Techniques Hit paper breakdown → | 2014 | 487 |
| 2 | 2019 | 288 | |
| 3 | 2022 | 73 | |
| 4 | 2020 | 65 | |
| 5 | 2018 | 63 | |
| 6 | 2024 | 62 | |
| 7 | 2018 | 53 | |
| 8 | 2017 | 52 | |
| 9 | 2012 | 36 | |
| 10 | 2016 | 35 | |
| 11 | 2011 | 34 | |
| 12 | 2015 | 34 | |
| 13 | 2024 | 34 | |
| 14 | 2023 | 33 | |
| 15 | 2022 | 29 | |
| 16 | 2022 | 28 | |
| 17 | 2018 | 27 | |
| 18 | 2023 | 27 | |
| 19 | 2023 | 23 | |
| 20 | 2025 | 22 |
About Sehoon Ha
Sehoon Ha is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Biomedical Engineering, Artificial Intelligence and Human-Computer Interaction, having authored 70 papers that have together received 1.8k indexed citations. Recurring topics across this work include Robotic Locomotion and Control (30 papers), Robot Manipulation and Learning (19 papers), Reinforcement Learning in Robotics (18 papers), Human Pose and Action Recognition (16 papers), Human Motion and Animation (11 papers), Prosthetics and Rehabilitation Robotics (10 papers), Robotic Path Planning Algorithms (6 papers) and Multimodal Machine Learning Applications (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (645 citations), Computer Graphics and Computer-Aided Design (102 citations), Control and Systems Engineering (572 citations), Human-Computer Interaction (79 citations) and Biomedical Engineering (568 citations). Sehoon Ha has collaborated with scholars based in United States, South Korea and Canada. Frequent co-authors include Sergey Levine, Katsu Yamane, Jie Tan, George Tucker, Tuomas Haarnoja, Joohyung Kim, Jie Tan, Aurick Zhou, Stelian Coros and Alexander N. Alspach. Their work appears in journals such as IEEE Robotics and Automation Letters, Computer Graphics Forum, ACM Transactions on Graphics, Science Robotics and The International Journal of Robotics Research.
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.