Philip Arm
Impact in
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- Robotic Locomotion and Control
- Prosthetics and Rehabilitation Robotics
- Soft Robotics and Applications
- Control and Systems Engineering top 10%
- Robot Manipulation and Learning
- Robotic Mechanisms and Dynamics
Papers in
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- Robotic Locomotion and Control 7
- Soft Robotics and Applications 2
- Prosthetics and Rehabilitation Robotics 2
- Muscle activation and electromyography studies 2
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- Modular Robots and Swarm Intelligence 5
- Co-authors
- Marco Hutter (10 shared papers)Hendrik Kolvenbach (7 shared papers)Valentin Bickel (4 shared papers)Felix Schmitt (1 shared paper)Florian Kehl (1 shared paper)Takahiro Miki (1 shared paper)B.M. Stolz (1 shared paper)Ruyi Zhou (1 shared paper)
- Journals
- IEEE Robotics and Automation Letters (2 papers)Acta Astronautica (1 paper)Nature Communications (1 paper)Frontiers in Cardiovascular Medicine (1 paper)Science Robotics (1 paper)
- Partner nations
- SwitzerlandGermanyUnited States
In The Last Decade
Philip Arm
11 papers receiving 228 citations
Peers
Comparison fields: 5 of 41
- Biomedical Engineering 168
- Control and Systems Engineering 81
- Computer Vision and Pattern Recognition 45
- Mechanical Engineering 74
- Aerospace Engineering 49
Countries citing papers authored by Philip Arm
This map shows the geographic impact of Philip Arm'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 Philip Arm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip Arm more than expected).
Fields of papers citing papers by Philip Arm
This network shows the impact of papers produced by Philip Arm. 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 Philip Arm. The network helps show where Philip Arm may publish in the future.
Co-authors
The 25 scholars most cited alongside Philip Arm, 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 | 2019 | 79 | |
| 2 | 2023 | 51 | |
| 3 | 2024 | 21 | |
| 4 | 2023 | 20 | |
| 5 | 2022 | 19 | |
| 6 | 2024 | 15 | |
| 7 | 2022 | 9 | |
| 8 | 2022 | 7 | |
| 9 | 2024 | 6 | |
| 10 | 2023 | 6 | |
| 11 | 2024 | 1 | |
| 12 | 2025 | 0 | |
| 13 | 2024 | 0 |
About Philip Arm
Philip Arm is a scholar working on Biomedical Engineering, Mechanical Engineering, Aerospace Engineering, Astronomy and Astrophysics and Computer Vision and Pattern Recognition, having authored 13 papers that have together received 234 indexed citations. Recurring topics across this work include Robotic Locomotion and Control (7 papers), Modular Robots and Swarm Intelligence (5 papers), Robotic Path Planning Algorithms (3 papers), Planetary Science and Exploration (3 papers), Robotics and Sensor-Based Localization (2 papers), Soft Robotics and Applications (2 papers), Prosthetics and Rehabilitation Robotics (2 papers) and Muscle activation and electromyography studies (2 papers). The work is most often cited by research in Biomedical Engineering (168 citations), Control and Systems Engineering (81 citations), Computer Vision and Pattern Recognition (45 citations), Mechanical Engineering (74 citations) and Aerospace Engineering (49 citations). Philip Arm has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Marco Hutter, Hendrik Kolvenbach, Valentin Bickel, Felix Schmitt, Florian Kehl, Takahiro Miki, B.M. Stolz, Ruyi Zhou, Mayank Mittal and Joonho Lee. Their work appears in journals such as IEEE Robotics and Automation Letters, Acta Astronautica, Nature Communications, Frontiers in Cardiovascular Medicine and Science 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.