Janis Edelmann
Impact in
- Condensed Matter Physics top 5%
- Micro and Nano Robotics
- Biomedical Engineering top 10%
- Soft Robotics and Applications
- Characterization and Applications of Magnetic Nanoparticles
- Non-Invasive Vital Sign Monitoring
- Advanced Sensor and Energy Harvesting Materials
Papers in
-
- Soft Robotics and Applications 2
- Characterization and Applications of Magnetic Nanoparticles 2
- Muscle activation and electromyography studies 1
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- Micro and Nano Robotics 2
- Co-authors
- Andrew J. Petruska (3 shared papers)Bradley J. Nelson (3 shared papers)Marie-Christine Fluet (2 shared papers)Olivier Lambercy (2 shared papers)Robert Riener (2 shared papers)Roger Gassert (2 shared papers)Laura Marchal–Crespo (2 shared papers)Martin Wolf (2 shared papers)
- Journals
- Journal of NeuroEngineering and Rehabilitation (1 paper)Physiological Measurement (1 paper)IEEE Transactions on Magnetics (1 paper)The International Journal of Robotics Research (1 paper)
- Partner nations
- SwitzerlandUnited States
In The Last Decade
Janis Edelmann
5 papers receiving 354 citations
Peers
Comparison fields: 5 of 48
- Condensed Matter Physics 178
- Biomedical Engineering 279
- Cognitive Neuroscience 63
- Gastroenterology 12
- Mechanical Engineering 92
Countries citing papers authored by Janis Edelmann
This map shows the geographic impact of Janis Edelmann'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 Janis Edelmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Janis Edelmann more than expected).
Fields of papers citing papers by Janis Edelmann
This network shows the impact of papers produced by Janis Edelmann. 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 Janis Edelmann. The network helps show where Janis Edelmann may publish in the future.
Co-authors
The 9 scholars most cited alongside Janis Edelmann, 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 | 2017 | 163 | |
| 2 | 2013 | 68 | |
| 3 | 2017 | 60 | |
| 4 | 2017 | 50 | |
| 5 | 2012 | 14 |
About Janis Edelmann
Janis Edelmann is a scholar working on Biomedical Engineering, Condensed Matter Physics, Cognitive Neuroscience, Cardiology and Cardiovascular Medicine and Computer Vision and Pattern Recognition, having authored 5 papers that have together received 355 indexed citations. Recurring topics across this work include Soft Robotics and Applications (2 papers), EEG and Brain-Computer Interfaces (2 papers), Characterization and Applications of Magnetic Nanoparticles (2 papers), Micro and Nano Robotics (2 papers), Robotics and Sensor-Based Localization (1 paper), Muscle activation and electromyography studies (1 paper), Modular Robots and Swarm Intelligence (1 paper) and Augmented Reality Applications (1 paper). The work is most often cited by research in Condensed Matter Physics (178 citations), Biomedical Engineering (279 citations), Cognitive Neuroscience (63 citations), Gastroenterology (12 citations) and Mechanical Engineering (92 citations). Janis Edelmann has collaborated with scholars based in Switzerland and United States. Frequent co-authors include Andrew J. Petruska, Bradley J. Nelson, Marie-Christine Fluet, Olivier Lambercy, Robert Riener, Roger Gassert, Laura Marchal–Crespo, Martin Wolf and Raphael Zimmermann. Their work appears in journals such as Journal of NeuroEngineering and Rehabilitation, Physiological Measurement, IEEE Transactions on Magnetics 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.