Farbod Farshidian
- Biomedical Engineering top 5%
- Control and Systems Engineering top 2%
- Computer Vision and Pattern Recognition top 2%
- Mechanical Engineering top 10%
- Aerospace Engineering top 10%
- Co-authors
- Marco HutterJonas BuchliRuben GrandiaMichael NeunertFabian JeneltenAlexander WinklerDiego PardoMina Kamel
- Topics
- Robotic Locomotion and Control (23 papers)Robotic Path Planning Algorithms (11 papers)Prosthetics and Rehabilitation Robotics (11 papers)
- Cited by
- Control and Systems EngineeringComputer Vision and Pattern RecognitionBiomedical Engineering
- Journals
- ACM Transactions on GraphicsThe International Journal of Robotics ResearchIEEE Transactions on Robotics
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
Farbod Farshidian
34 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 69
- Biomedical Engineering 695
- Control and Systems Engineering 677
- Computer Vision and Pattern Recognition 422
- Mechanical Engineering 182
- Aerospace Engineering 166
Countries citing papers authored by Farbod Farshidian
This map shows the geographic impact of Farbod Farshidian'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 Farbod Farshidian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Farbod Farshidian more than expected).
Fields of papers citing papers by Farbod Farshidian
This network shows the impact of papers produced by Farbod Farshidian. 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 Farbod Farshidian. The network helps show where Farbod Farshidian may publish in the future.
Co-authorship network of co-authors of Farbod Farshidian
This figure shows the co-authorship network connecting the top 25 collaborators of Farbod Farshidian. A scholar is included among the top collaborators of Farbod Farshidian 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 Farbod Farshidian. Farbod Farshidian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 42 | |
| 4 | 22 | |
| 5 | 21 | |
| 6 | 49 | |
| 7 | 48 | |
| 8 | 40 | |
| 9 | 49 | |
| 10 | 3 | |
| 11 | 8 | |
| 12 | 15 | |
| 13 | 11 | |
| 14 | 27 | |
| 15 | 67 | |
| 16 | 20 | |
| 17 | 33 | |
| 18 | 77 | |
| 19 | 137 | |
| 20 | 10 |
About Farbod Farshidian
Farbod Farshidian is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Biomedical Engineering, having authored 36 papers that have together received 1.2k indexed citations. Recurring topics across this work include Robotic Locomotion and Control (23 papers), Robotic Path Planning Algorithms (11 papers) and Prosthetics and Rehabilitation Robotics (11 papers). The work is most often cited by research in Control and Systems Engineering (677 citations), Computer Vision and Pattern Recognition (422 citations) and Biomedical Engineering (695 citations). Farbod Farshidian has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Marco Hutter, Jonas Buchli, Ruben Grandia, Michael Neunert, Fabian Jenelten, Alexander Winkler, Diego Pardo, Mina Kamel, Roland Siegwart and Fadri Furrer. Their work appears in journals such as ACM Transactions on Graphics, The International Journal of Robotics Research 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.