Konrad Leibrandt
- Biomedical Engineering top 10%
- Surgery
- Control and Systems Engineering top 5%
- Mechanical Engineering
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Guang‐Zhong YangCarlo SeneciGauthier GrasChristos BergelesPiyamate WisanuvejPierre Berthet-RayneJianzhong ShangAra Darzi
- Topics
- Soft Robotics and Applications (22 papers)Surgical Simulation and Training (13 papers)Robot Manipulation and Learning (6 papers)
- Cited by
- Biomedical EngineeringControl and Systems EngineeringComputer Vision and Pattern Recognition
- Partner nations
- United KingdomThailandAustralia
In The Last Decade
Konrad Leibrandt
25 papers receiving 533 citations
Peers
Comparison fields: 5 of 68
- Biomedical Engineering 418
- Surgery 202
- Control and Systems Engineering 176
- Mechanical Engineering 137
- Computer Vision and Pattern Recognition 123
Countries citing papers authored by Konrad Leibrandt
This map shows the geographic impact of Konrad Leibrandt'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 Konrad Leibrandt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Konrad Leibrandt more than expected).
Fields of papers citing papers by Konrad Leibrandt
This network shows the impact of papers produced by Konrad Leibrandt. 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 Konrad Leibrandt. The network helps show where Konrad Leibrandt may publish in the future.
Co-authorship network of co-authors of Konrad Leibrandt
This figure shows the co-authorship network connecting the top 25 collaborators of Konrad Leibrandt. A scholar is included among the top collaborators of Konrad Leibrandt 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 Konrad Leibrandt. Konrad Leibrandt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 20 | |
| 3 | 41 | |
| 4 | 86 | |
| 5 | 25 | |
| 6 | 45 | |
| 7 | 15 | |
| 8 | 13 | |
| 9 | 13 | |
| 10 | 61 | |
| 11 | 11 | |
| 12 | 22 | |
| 13 | 17 | |
| 14 | 5 | |
| 15 | 8 | |
| 16 | 27 | |
| 17 | 20 | |
| 18 | 10 | |
| 19 | 14 | |
| 20 | 10 |
About Konrad Leibrandt
Konrad Leibrandt is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition and Surgery, having authored 25 papers that have together received 542 indexed citations. Recurring topics across this work include Soft Robotics and Applications (22 papers), Surgical Simulation and Training (13 papers) and Robot Manipulation and Learning (6 papers). The work is most often cited by research in Biomedical Engineering (418 citations), Control and Systems Engineering (176 citations) and Computer Vision and Pattern Recognition (123 citations). Konrad Leibrandt has collaborated with scholars based in United Kingdom, Thailand and Australia. Frequent co-authors include Guang‐Zhong Yang, Carlo Seneci, Gauthier Gras, Christos Bergeles, Piyamate Wisanuvej, Pierre Berthet-Rayne, Jianzhong Shang, Ara Darzi, Πέτρος Γιαταγάνας and Jindong Liu. Their work appears in journals such as Annals of Surgery, IEEE Transactions on Cybernetics and IEEE Transactions on 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.