Philipp Ruppel
Impact in
- Human-Computer Interaction top 5%
- Hand Gesture Recognition Systems
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- Robot Manipulation and Learning
Papers in
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- Hand Gesture Recognition Systems 5
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- Robot Manipulation and Learning 11
- Co-authors
- Jianwei Zhang (18 shared papers)Norman Hendrich (15 shared papers)Hongzhuo Liang (5 shared papers)Shuang Li (4 shared papers)Michael Görner (7 shared papers)Xiaojian Ma (2 shared papers)Fuchun Sun (2 shared papers)Bin Fang (1 shared paper)
- Journals
- Frontiers in Neurorobotics (2 papers)Sensors (1 paper)IEEE Transactions on Cognitive and Developmental Systems (1 paper)HardwareX (1 paper)IEEE Transactions on Cybernetics (1 paper)
- Partner nations
- GermanyChinaUnited States
In The Last Decade
Philipp Ruppel
19 papers receiving 307 citations
Peers
Comparison fields: 5 of 38
- Human-Computer Interaction 73
- Control and Systems Engineering 205
- Computer Vision and Pattern Recognition 76
- Cognitive Neuroscience 59
- Biomedical Engineering 108
Countries citing papers authored by Philipp Ruppel
This map shows the geographic impact of Philipp Ruppel'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 Philipp Ruppel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philipp Ruppel more than expected).
Fields of papers citing papers by Philipp Ruppel
This network shows the impact of papers produced by Philipp Ruppel. 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 Philipp Ruppel. The network helps show where Philipp Ruppel may publish in the future.
Co-authors
The 18 scholars most cited alongside Philipp Ruppel, 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 | 76 | |
| 2 | 2020 | 57 | |
| 3 | 2018 | 33 | |
| 4 | 2022 | 28 | |
| 5 | 2022 | 20 | |
| 6 | 2022 | 19 | |
| 7 | 2020 | 15 | |
| 8 | 2018 | 15 | |
| 9 | 2022 | 14 | |
| 10 | 2020 | 12 | |
| 11 | 2021 | 9 | |
| 12 | 2022 | 6 | |
| 13 | 2022 | 4 | |
| 14 | 2019 | 3 | |
| 15 | 2020 | 3 | |
| 16 | 2021 | 2 | |
| 17 | 2023 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2021 | 1 |
About Philipp Ruppel
Philipp Ruppel is a scholar working on Human-Computer Interaction, Control and Systems Engineering, Cognitive Neuroscience, Computer Vision and Pattern Recognition and Geology, having authored 19 papers that have together received 319 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (11 papers), Hand Gesture Recognition Systems (5 papers), Advanced Sensor and Energy Harvesting Materials (5 papers), Tactile and Sensory Interactions (5 papers), Human Pose and Action Recognition (4 papers), Robotics and Sensor-Based Localization (3 papers), Reinforcement Learning in Robotics (3 papers) and Advanced Vision and Imaging (2 papers). The work is most often cited by research in Human-Computer Interaction (73 citations), Control and Systems Engineering (205 citations), Computer Vision and Pattern Recognition (76 citations), Cognitive Neuroscience (59 citations) and Biomedical Engineering (108 citations). Philipp Ruppel has collaborated with scholars based in Germany, China and United States. Frequent co-authors include Jianwei Zhang, Norman Hendrich, Hongzhuo Liang, Shuang Li, Michael Görner, Xiaojian Ma, Fuchun Sun, Bin Fang, Sebastian Starke and Changshui Zhang. Their work appears in journals such as Frontiers in Neurorobotics, Sensors, IEEE Transactions on Cognitive and Developmental Systems, HardwareX and IEEE Transactions on Cybernetics.
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.