Michael Sherback
Impact in
- Aerospace Engineering top 2%
- Aerospace Engineering and Control Systems
- Aerospace and Aviation Technology
- Robotics and Sensor-Based Localization
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- Adaptive Control of Nonlinear Systems
- Control and Dynamics of Mobile Robots
Papers in
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- Reinforcement Learning in Robotics 2
- AI-based Problem Solving and Planning 2
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- Semiconductor Lasers and Optical Devices 5
- Co-authors
- Raffaello D’Andrea (7 shared papers)Sergei Lupashin (3 shared papers)Angela P. Schoellig (3 shared papers)Markus Hehn (1 shared paper)Mark W. Mueller (1 shared paper)Bardia Pezeshki (5 shared papers)Gideon W. Yoffe (4 shared papers)E.C. Vail (4 shared papers)
- Journals
- Journal of Lightwave Technology (2 papers)IEEE Photonics Technology Letters (2 papers)IEEE Transactions on Biomedical Engineering (1 paper)PLoS Computational Biology (1 paper)Mechatronics (1 paper)
- Partner nations
- SwitzerlandUnited States
In The Last Decade
Michael Sherback
12 papers receiving 728 citations
Peers
Comparison fields: 5 of 38
- Aerospace Engineering 375
- Control and Systems Engineering 326
- Computer Vision and Pattern Recognition 86
- Electrical and Electronic Engineering 137
- Computer Networks and Communications 55
Countries citing papers authored by Michael Sherback
This map shows the geographic impact of Michael Sherback'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 Michael Sherback with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Sherback more than expected).
Fields of papers citing papers by Michael Sherback
This network shows the impact of papers produced by Michael Sherback. 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 Michael Sherback. The network helps show where Michael Sherback may publish in the future.
Co-authors
The 16 scholars most cited alongside Michael Sherback, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 248 | |
| 2 | 2009 | 216 | |
| 3 | 2014 | 169 | |
| 4 | 2002 | 87 | |
| 5 | 2014 | 19 | |
| 6 | 2007 | 14 | |
| 7 | 2010 | 10 | |
| 8 | 2003 | 9 | |
| 9 | 2004 | 5 | |
| 10 | 2004 | 4 | |
| 11 | 2008 | 3 | |
| 12 | 2006 | 2 |
About Michael Sherback
Michael Sherback is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Cognitive Neuroscience, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 12 papers that have together received 786 indexed citations. Recurring topics across this work include Semiconductor Lasers and Optical Devices (5 papers), Aerospace and Aviation Technology (2 papers), Motor Control and Adaptation (2 papers), Reinforcement Learning in Robotics (2 papers), Control and Dynamics of Mobile Robots (2 papers), AI-based Problem Solving and Planning (2 papers), Robotic Path Planning Algorithms (2 papers) and Aerospace Engineering and Control Systems (1 paper). The work is most often cited by research in Aerospace Engineering (375 citations), Control and Systems Engineering (326 citations), Computer Vision and Pattern Recognition (86 citations), Electrical and Electronic Engineering (137 citations) and Computer Networks and Communications (55 citations). Michael Sherback has collaborated with scholars based in Switzerland and United States. Frequent co-authors include Raffaello D’Andrea, Sergei Lupashin, Angela P. Schoellig, Markus Hehn, Mark W. Mueller, Bardia Pezeshki, Gideon W. Yoffe, E.C. Vail, John F. Heanue and Stephen A. Rishton. Their work appears in journals such as Journal of Lightwave Technology, IEEE Photonics Technology Letters, IEEE Transactions on Biomedical Engineering, PLoS Computational Biology and Mechatronics.
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.