Daman Bareiss
Impact in
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- Robotic Path Planning Algorithms
- Aerospace Engineering top 10%
- Robotics and Sensor-Based Localization
Papers in
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- Robotic Path Planning Algorithms 7
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- Robotics and Sensor-Based Localization 5
- Guidance and Control Systems 1
- Biomimetic flight and propulsion mechanisms 1
- Co-authors
- Jur van den Berg (6 shared papers)Jake J. Abbott (2 shared papers)Raymond J. King (1 shared paper)Mark A. Minor (1 shared paper)David J. Dunlop (1 shared paper)Kam K. Leang (3 shared papers)Daniel Stuart (1 shared paper)Joseph R. Bourne (1 shared paper)
- Journals
- Autonomous Robots (1 paper)IEEE/ASME Transactions on Mechatronics (1 paper)The International Journal of Robotics Research (1 paper)National Conference on Artificial Intelligence (1 paper)
- Partner nations
- United States
In The Last Decade
Daman Bareiss
8 papers receiving 381 citations
Peers
Comparison fields: 5 of 50
- Computer Vision and Pattern Recognition 251
- Aerospace Engineering 193
- Control and Systems Engineering 122
- Automotive Engineering 51
- Computer Networks and Communications 95
Countries citing papers authored by Daman Bareiss
This map shows the geographic impact of Daman Bareiss'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 Daman Bareiss with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daman Bareiss more than expected).
Fields of papers citing papers by Daman Bareiss
This network shows the impact of papers produced by Daman Bareiss. 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 Daman Bareiss. The network helps show where Daman Bareiss may publish in the future.
Co-authors
The 8 scholars most cited alongside Daman Bareiss, 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 | 2012 | 134 | |
| 2 | 2015 | 130 | |
| 3 | 2013 | 58 | |
| 4 | 2014 | 39 | |
| 5 | 2017 | 17 | |
| 6 | 2015 | 12 | |
| 7 | Reciprocal Collision Avoidance for Quadrotor Helicopters Using LQR-Obstacles. | 2012 | 4 |
| 8 | 2016 | 2 |
About Daman Bareiss
Daman Bareiss is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Computer Networks and Communications, Control and Systems Engineering and Biomedical Engineering, having authored 8 papers that have together received 396 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (7 papers), Robotics and Sensor-Based Localization (5 papers), Distributed Control Multi-Agent Systems (4 papers), Robotic Locomotion and Control (2 papers), Adaptive Control of Nonlinear Systems (1 paper), Guidance and Control Systems (1 paper), Biomimetic flight and propulsion mechanisms (1 paper) and Sports Dynamics and Biomechanics (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (251 citations), Aerospace Engineering (193 citations), Control and Systems Engineering (122 citations), Automotive Engineering (51 citations) and Computer Networks and Communications (95 citations). Daman Bareiss has collaborated with scholars based in United States. Frequent co-authors include Jur van den Berg, Jake J. Abbott, Raymond J. King, Mark A. Minor, David J. Dunlop, Kam K. Leang, Daniel Stuart and Joseph R. Bourne. Their work appears in journals such as Autonomous Robots, IEEE/ASME Transactions on Mechatronics, The International Journal of Robotics Research and National Conference on Artificial Intelligence.
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.