Ulrich Seibold
- Biomedical Engineering top 5%
- Surgery top 10%
- Mechanical Engineering top 10%
- Control and Systems Engineering top 5%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- G. HirzingerBernhard KüblerTobias OrtmaierUlrich HagnMathias NicklGeorg PassigRobert HaslingerAndreas Tobergte
- Topics
- Soft Robotics and Applications (16 papers)Surgical Simulation and Training (11 papers)Anatomy and Medical Technology (8 papers)
In The Last Decade
Ulrich Seibold
22 papers receiving 785 citations
Peers
Comparison fields: 5 of 65
- Biomedical Engineering 663
- Surgery 398
- Mechanical Engineering 273
- Control and Systems Engineering 190
- Computer Vision and Pattern Recognition 145
Countries citing papers authored by Ulrich Seibold
This map shows the geographic impact of Ulrich Seibold'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 Ulrich Seibold with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ulrich Seibold more than expected).
Fields of papers citing papers by Ulrich Seibold
This network shows the impact of papers produced by Ulrich Seibold. 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 Ulrich Seibold. The network helps show where Ulrich Seibold may publish in the future.
Co-authorship network of co-authors of Ulrich Seibold
This figure shows the co-authorship network connecting the top 25 collaborators of Ulrich Seibold. A scholar is included among the top collaborators of Ulrich Seibold based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ulrich Seibold. Ulrich Seibold is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 53 | |
| 3 | An advanced force feedback tool design for minimally invasive robotic surgery | 7 |
| 4 | 50 | |
| 5 | 199 | |
| 6 | Endoscopic 3 DoF-Instrument with 7 DoF Force/Torque Feedback | 1 |
| 7 | 52 | |
| 8 | Fiberoptic 6-DOF Force-Torque-Sensing for Haptic Feedback in Minimally Invasive Robotic Surgery | 4 |
| 9 | 47 | |
| 10 | DLR MiroSurge -- towards versatility in surgical robotics | 7 |
| 11 | Advances in Telerobotics, chapter Robot Assisted Force Feedback Surgery | 2 |
| 12 | 3 | |
| 13 | 185 | |
| 14 | 64 | |
| 15 | 111 | |
| 16 | 4 | |
| 17 | Entwicklung einer integrierten Antriebseinheit für ein minimal invasives Zangeninstrument in der robotergestützten Chirurgie | 3 |
| 18 | A 6-Axis Forche/Torque Sensor Design for Haptic Feedback in Minimally Invasive Robotic Surgery | 1 |
| 19 | The DLR Minimally Invasive Robotics Surgery Scenario | 10 |
| 20 | Autonomy and Haptic Feedback in Minimally Invasive Robotic Surgery | 7 |
About Ulrich Seibold
Ulrich Seibold is a scholar working on Applied Microbiology and Biotechnology, Biomedical Engineering and Surgery, having authored 22 papers that have together received 834 indexed citations. Recurring topics across this work include Soft Robotics and Applications (16 papers), Surgical Simulation and Training (11 papers) and Anatomy and Medical Technology (8 papers). The work is most often cited by research in Biomedical Engineering (663 citations), Surgery (398 citations) and Control and Systems Engineering (190 citations). Ulrich Seibold has collaborated with scholars based in Germany and Austria. Frequent co-authors include G. Hirzinger, Bernhard Kübler, Tobias Ortmaier, Ulrich Hagn, Mathias Nickl, Georg Passig, Robert Haslinger, Andreas Tobergte, G. Hirzinger and R. Konietschke. Their work appears in journals such as Journal of Biomechanics, Microbiology Spectrum and IEEE Robotics & Automation Magazine.
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.