Matouš Vrba
Impact in
- Aerospace Engineering top 5%
- Robotics and Sensor-Based Localization
- UAV Applications and Optimization
- Infrared Target Detection Methodologies
- Guidance and Control Systems
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- Robotic Path Planning Algorithms
- Video Surveillance and Tracking Methods
Papers in
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- Robotics and Sensor-Based Localization 14
- UAV Applications and Optimization 8
- Guidance and Control Systems 2
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- Robotic Path Planning Algorithms 11
- Co-authors
- Martin Saska (18 shared papers)Daniel Heřt (10 shared papers)Matěj Petrlík (8 shared papers)Tomáš Krajník (1 shared paper)Viktor Walter (4 shared papers)Vojtěch Spurný (7 shared papers)Tomáš Báča (6 shared papers)Petr Štěpán (4 shared papers)
- Journals
- IEEE Robotics and Automation Letters (5 papers)Robotics and Autonomous Systems (2 papers)Journal of Intelligent & Robotic Systems (1 paper)IEEE Transactions on Robotics (1 paper)PubMed (1 paper)
- Partner nations
- CzechiaUnited Arab EmiratesGreece
In The Last Decade
Matouš Vrba
18 papers receiving 390 citations
Peers
Comparison fields: 5 of 39
- Aerospace Engineering 301
- Computer Vision and Pattern Recognition 222
- Geology 21
- Computer Networks and Communications 79
- Instrumentation 10
Countries citing papers authored by Matouš Vrba
This map shows the geographic impact of Matouš Vrba'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 Matouš Vrba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matouš Vrba more than expected).
Fields of papers citing papers by Matouš Vrba
This network shows the impact of papers produced by Matouš Vrba. 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 Matouš Vrba. The network helps show where Matouš Vrba may publish in the future.
Co-authors
The 18 scholars most cited alongside Matouš Vrba, 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 | 2020 | 113 | |
| 2 | 2020 | 57 | |
| 3 | 2020 | 38 | |
| 4 | 2019 | 37 | |
| 5 | 2023 | 26 | |
| 6 | 2021 | 24 | |
| 7 | 2022 | 20 | |
| 8 | 2024 | 17 | |
| 9 | 2022 | 15 | |
| 10 | 2022 | 14 | |
| 11 | 2023 | 12 | |
| 12 | 2021 | 10 | |
| 13 | 2024 | 5 | |
| 14 | 2019 | 3 | |
| 15 | 2025 | 2 | |
| 16 | 2024 | 2 | |
| 17 | 2022 | 1 | |
| 18 | 2024 | 1 | |
| 19 | Xtilization of monofil, a fabric woven from a man-made fibre, for cultivation of cells and tissues in artificial media. | 1971 | 1 |
About Matouš Vrba
Matouš Vrba is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Computer Networks and Communications and Control and Systems Engineering, having authored 19 papers that have together received 398 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (14 papers), Robotic Path Planning Algorithms (11 papers), UAV Applications and Optimization (8 papers), Indoor and Outdoor Localization Technologies (4 papers), Distributed Control Multi-Agent Systems (3 papers), Target Tracking and Data Fusion in Sensor Networks (2 papers), Robotics and Automated Systems (2 papers) and Guidance and Control Systems (2 papers). The work is most often cited by research in Aerospace Engineering (301 citations), Computer Vision and Pattern Recognition (222 citations), Geology (21 citations), Computer Networks and Communications (79 citations) and Instrumentation (10 citations). Matouš Vrba has collaborated with scholars based in Czechia, United Arab Emirates and Greece. Frequent co-authors include Martin Saska, Daniel Heřt, Matěj Petrlík, Tomáš Krajník, Viktor Walter, Vojtěch Spurný, Tomáš Báča, Petr Štěpán, Vít Krátký and Tiago Nascimento. Their work appears in journals such as IEEE Robotics and Automation Letters, Robotics and Autonomous Systems, Journal of Intelligent & Robotic Systems, IEEE Transactions on Robotics and PubMed.
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.