Michael Shomin
Impact in
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- Adaptive Control of Nonlinear Systems
- Control and Dynamics of Mobile Robots
- Robot Manipulation and Learning
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- Robotic Path Planning Algorithms
Papers in
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- Control and Dynamics of Mobile Robots 5
- Robot Manipulation and Learning 5
- Robotic Mechanisms and Dynamics 2
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- Robotic Path Planning Algorithms 7
- Co-authors
- Quentin LindseyDaniel MellingerVijay KumarV. KumarDavid K. MellingerRalph HollisNathan MichaelJodi Forlizzi
- Journals
- Research Showcase @ Carnegie Mellon University (Carnegie Mellon University) (1 paper)2011 IEEE/RSJ International Conference on Intelligent Robots and Systems (2 papers)
- Partner nations
- United StatesSwitzerlandAustria
In The Last Decade
Michael Shomin
13 papers receiving 698 citations
Hit Papers
Peers
Comparison fields: 5 of 42
- Control and Systems Engineering 487
- Computer Vision and Pattern Recognition 414
- Aerospace Engineering 314
- Computer Networks and Communications 106
- Biomedical Engineering 165
Countries citing papers authored by Michael Shomin
This map shows the geographic impact of Michael Shomin'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 Shomin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Shomin more than expected).
Fields of papers citing papers by Michael Shomin
This network shows the impact of papers produced by Michael Shomin. 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 Shomin. The network helps show where Michael Shomin may publish in the future.
Co-authors
The 12 scholars most cited alongside Michael Shomin, 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 | 2016 | 12 | |
| 2 | 2016 | 3 | |
| 3 | 2015 | 23 | |
| 4 | 2015 | 12 | |
| 5 | 2014 | 20 | |
| 6 | 2014 | 5 | |
| 7 | 2013 | 19 | |
| 8 | Design, modeling, estimation and control for aerial grasping and manipulation Hit paper breakdown → | 2011 | 306 |
| 9 | 2011 | 35 | |
| 10 | 2011 | 188 | |
| 11 | 2011 | 1 | |
| 12 | 2010 | 4 | |
| 13 | Control of Quadrotors for Robust Perching and Landing | 2010 | 95 |
About Michael Shomin
Michael Shomin is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Computer Science Applications, Aerospace Engineering and Biomedical Engineering, having authored 13 papers that have together received 723 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (7 papers), Control and Dynamics of Mobile Robots (5 papers), Robot Manipulation and Learning (5 papers), Robotic Locomotion and Control (4 papers), Robotic Mechanisms and Dynamics (2 papers), Robotics and Sensor-Based Localization (2 papers), Modular Robots and Swarm Intelligence (1 paper) and Motor Control and Adaptation (1 paper). The work is most often cited by research in Control and Systems Engineering (487 citations), Computer Vision and Pattern Recognition (414 citations), Aerospace Engineering (314 citations), Computer Networks and Communications (106 citations) and Biomedical Engineering (165 citations). Michael Shomin has collaborated with scholars based in United States, Switzerland and Austria. Frequent co-authors include Quentin Lindsey, Daniel Mellinger, Vijay Kumar, V. Kumar, David K. Mellinger, Vijay Kumar, Ralph Hollis, Nathan Michael, Jodi Forlizzi and George Kantor. Their work appears in journals such as Research Showcase @ Carnegie Mellon University (Carnegie Mellon University) and 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.
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.