Shai Revzen
- Biomedical Engineering top 10%
- Aerospace Engineering top 10%
- Mechanical Engineering
- Ecology, Evolution, Behavior and Systematics top 10%
- Control and Systems Engineering top 10%
- Co-authors
- Robert J. FullJohn GuckenheimerDaniel I. GoldmanArdian JusufiAndrew J. SpenceDaniel E. KoditschekMark YimJustin Seipel
- Topics
- Robotic Locomotion and Control (23 papers)Modular Robots and Swarm Intelligence (10 papers)Biomimetic flight and propulsion mechanisms (6 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Shai Revzen
33 papers receiving 672 citations
Peers
Comparison fields: 5 of 74
- Biomedical Engineering 384
- Aerospace Engineering 168
- Mechanical Engineering 137
- Ecology, Evolution, Behavior and Systematics 128
- Control and Systems Engineering 113
Countries citing papers authored by Shai Revzen
This map shows the geographic impact of Shai Revzen'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 Shai Revzen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shai Revzen more than expected).
Fields of papers citing papers by Shai Revzen
This network shows the impact of papers produced by Shai Revzen. 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 Shai Revzen. The network helps show where Shai Revzen may publish in the future.
Co-authorship network of co-authors of Shai Revzen
This figure shows the co-authorship network connecting the top 25 collaborators of Shai Revzen. A scholar is included among the top collaborators of Shai Revzen 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 Shai Revzen. Shai Revzen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 32 | |
| 6 | 11 | |
| 7 | 7 | |
| 8 | 17 | |
| 9 | 1 | |
| 10 | 29 | |
| 11 | 6 | |
| 12 | 3 | |
| 13 | 26 | |
| 14 | 29 | |
| 15 | HOW IS DOG GAIT AFFECTED BY NATURAL ROUGH TERRAIN | 1 |
| 16 | 17 | |
| 17 | 21 | |
| 18 | 63 | |
| 19 | 60 | |
| 20 | 18 |
About Shai Revzen
Shai Revzen is a scholar working on Biomedical Engineering, Control and Systems Engineering and Ecology, Evolution, Behavior and Systematics, having authored 36 papers that have together received 695 indexed citations. Recurring topics across this work include Robotic Locomotion and Control (23 papers), Modular Robots and Swarm Intelligence (10 papers) and Biomimetic flight and propulsion mechanisms (6 papers). The work is most often cited by research in Biomedical Engineering (384 citations), Aerospace Engineering (168 citations) and Ecology, Evolution, Behavior and Systematics (128 citations). Shai Revzen has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Robert J. Full, John Guckenheimer, Daniel I. Goldman, Ardian Jusufi, Andrew J. Spence, Daniel E. Koditschek, Mark Yim, Justin Seipel, Steven L. Brunton and Samuel A. Burden. Their work appears in journals such as Proceedings of the National Academy of Sciences, Ecology and Automatica.
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.