Zvi Shiller
- Computer Vision and Pattern Recognition top 0.2%
- Control and Systems Engineering top 0.5%
- Aerospace Engineering top 1%
- Automotive Engineering top 1%
- Ocean Engineering top 1%
- Co-authors
- Paolo FioriniSteven DubowskyF. LargeS. SekhavatChristian LaugierYoshihiko NakamuraMark A. NorrisMikko Tarkiainen
- Topics
- Robotic Path Planning Algorithms (47 papers)Robotic Mechanisms and Dynamics (30 papers)Control and Dynamics of Mobile Robots (23 papers)
- Cited by
- Computer Vision and Pattern RecognitionControl and Systems EngineeringAerospace Engineering
- Journals
- IEEE AccessThe International Journal of Robotics ResearchIEEE Transactions on Robotics and Automation
- Partner nations
- United StatesIsraelFrance
In The Last Decade
Zvi Shiller
72 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 75
- Computer Vision and Pattern Recognition 2.6k
- Control and Systems Engineering 1.9k
- Aerospace Engineering 1.1k
- Automotive Engineering 535
- Ocean Engineering 495
Countries citing papers authored by Zvi Shiller
This map shows the geographic impact of Zvi Shiller'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 Zvi Shiller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zvi Shiller more than expected).
Fields of papers citing papers by Zvi Shiller
This network shows the impact of papers produced by Zvi Shiller. 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 Zvi Shiller. The network helps show where Zvi Shiller may publish in the future.
Co-authorship network of co-authors of Zvi Shiller
This figure shows the co-authorship network connecting the top 25 collaborators of Zvi Shiller. A scholar is included among the top collaborators of Zvi Shiller 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 Zvi Shiller. Zvi Shiller is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 7 | |
| 3 | 13 | |
| 4 | 17 | |
| 5 | 6 | |
| 6 | 12 | |
| 7 | 2 | |
| 8 | 20 | |
| 9 | 0 | |
| 10 | 16 | |
| 11 | 44 | |
| 12 | 31 | |
| 13 | 8 | |
| 14 | A Comparison of Two Path Planners for Planetary Rovers | 2 |
| 15 | 97 | |
| 16 | Optimal Emergency Maneuvers Of Automated Vehicles | 5 |
| 17 | Optimization Tools For Automated Vehicle Systems | 2 |
| 18 | 18 | |
| 19 | 3 | |
| 20 | 0 |
About Zvi Shiller
Zvi Shiller is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Automotive Engineering, having authored 75 papers that have together received 3.6k indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (47 papers), Robotic Mechanisms and Dynamics (30 papers) and Control and Dynamics of Mobile Robots (23 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.6k citations), Control and Systems Engineering (1.9k citations) and Aerospace Engineering (1.1k citations). Zvi Shiller has collaborated with scholars based in United States, Israel and France. Frequent co-authors include Paolo Fiorini, Steven Dubowsky, F. Large, S. Sekhavat, Christian Laugier, Yoshihiko Nakamura, Mark A. Norris, Mikko Tarkiainen, C. Laugier and Katsu Yamane. Their work appears in journals such as IEEE Access, The International Journal of Robotics Research and IEEE Transactions on Robotics and Automation.
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.