Matouš Vrba
- Aerospace Engineering top 5%
- Computer Vision and Pattern Recognition top 5%
- Computer Networks and Communications top 10%
- Control and Systems Engineering
- Electrical and Electronic Engineering
- Co-authors
- Martin SaskaDaniel HeřtMatěj PetrlíkTomáš KrajníkViktor WalterVojtěch SpurnýTomáš BáčaPetr Štěpán
- Topics
- Robotics and Sensor-Based Localization (14 papers)Robotic Path Planning Algorithms (11 papers)UAV Applications and Optimization (8 papers)
- Journals
- IEEE Transactions on RoboticsRobotics and Autonomous SystemsIEEE Robotics and Automation Letters
- Partner nations
- CzechiaGreeceUnited Arab Emirates
In The Last Decade
Matouš Vrba
17 papers receiving 361 citations
Peers
Comparison fields: 5 of 37
- Aerospace Engineering 287
- Computer Vision and Pattern Recognition 217
- Computer Networks and Communications 74
- Control and Systems Engineering 54
- Electrical and Electronic Engineering 40
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-authorship network of co-authors of Matouš Vrba
This figure shows the co-authorship network connecting the top 25 collaborators of Matouš Vrba. A scholar is included among the top collaborators of Matouš Vrba 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 Matouš Vrba. Matouš Vrba is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 14 | |
| 6 | 12 | |
| 7 | 24 | |
| 8 | 1 | |
| 9 | 15 | |
| 10 | 19 | |
| 11 | 14 | |
| 12 | 9 | |
| 13 | 22 | |
| 14 | 105 | |
| 15 | 51 | |
| 16 | 37 | |
| 17 | 3 | |
| 18 | 35 | |
| 19 | Xtilization of monofil, a fabric woven from a man-made fibre, for cultivation of cells and tissues in artificial media. | 1 |
About Matouš Vrba
Matouš Vrba is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 19 papers that have together received 368 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (14 papers), Robotic Path Planning Algorithms (11 papers) and UAV Applications and Optimization (8 papers). The work is most often cited by research in Aerospace Engineering (287 citations), Computer Vision and Pattern Recognition (217 citations) and Geology (18 citations). Matouš Vrba has collaborated with scholars based in Czechia, Greece and United Arab Emirates. Frequent co-authors include Martin Saska, Daniel Heřt, Matěj Petrlík, Tomáš Krajník, Viktor Walter, Vojtěch Spurný, Tomáš Báča, Petr Štěpán, Vít Krátký and Pavel Petráček. Their work appears in journals such as IEEE Transactions on Robotics, Robotics and Autonomous Systems and IEEE Robotics and Automation Letters.
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.