Robert Pěnička
Impact in
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- Robotic Path Planning Algorithms
- Aerospace Engineering top 2%
- Robotics and Sensor-Based Localization
- UAV Applications and Optimization
- Guidance and Control Systems
Papers in
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- Robotic Path Planning Algorithms 36
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- Computational Geometry and Mesh Generation 4
- Co-authors
- Martin SaskaJan FaiglDavide ScaramuzzaPetr VáňaVojtěch SpurnýVojtěch VonásekGiuseppe LoiannoJustin Thomas
- Journals
- IEEE Robotics and Automation Letters (12 papers)Journal of Field Robotics (3 papers)Journal of Intelligent & Robotic Systems (2 papers)IEEE Transactions on Robotics (2 papers)Robotics and Autonomous Systems (1 paper)
- Partner nations
- CzechiaUnited StatesSwitzerland
In The Last Decade
Robert Pěnička
36 papers receiving 892 citations
Peers
Comparison fields: 5 of 63
- Computer Vision and Pattern Recognition 570
- Aerospace Engineering 468
- Industrial and Manufacturing Engineering 137
- Control and Systems Engineering 257
- Computer Networks and Communications 171
Countries citing papers authored by Robert Pěnička
This map shows the geographic impact of Robert Pěnička'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 Robert Pěnička with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Pěnička more than expected).
Fields of papers citing papers by Robert Pěnička
This network shows the impact of papers produced by Robert Pěnička. 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 Robert Pěnička. The network helps show where Robert Pěnička may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Robert Pěnička, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 37 | |
| 5 | 2024 | 8 | |
| 6 | 2024 | 15 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 7 | |
| 10 | 2023 | 8 | |
| 11 | 2023 | 6 | |
| 12 | 2023 | 11 | |
| 13 | 2023 | 24 | |
| 14 | 2020 | 5 | |
| 15 | 2019 | 114 | |
| 16 | 2019 | 31 | |
| 17 | 2018 | 77 | |
| 18 | 2018 | 69 | |
| 19 | 2018 | 23 | |
| 20 | 2017 | 61 |
About Robert Pěnička
Robert Pěnička is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Aerospace Engineering, Industrial and Manufacturing Engineering and Automotive Engineering, having authored 41 papers that have together received 913 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (36 papers), Robotics and Sensor-Based Localization (22 papers), Vehicle Routing Optimization Methods (9 papers), UAV Applications and Optimization (8 papers), Modular Robots and Swarm Intelligence (4 papers), Computational Geometry and Mesh Generation (4 papers), Adaptive Control of Nonlinear Systems (3 papers) and Transportation and Mobility Innovations (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (570 citations), Aerospace Engineering (468 citations), Industrial and Manufacturing Engineering (137 citations), Control and Systems Engineering (257 citations) and Computer Networks and Communications (171 citations). Robert Pěnička has collaborated with scholars based in Czechia, United States and Switzerland. Frequent co-authors include Martin Saska, Jan Faigl, Davide Scaramuzza, Petr Váňa, Vojtěch Spurný, Vojtěch Vonásek, Giuseppe Loianno, Justin Thomas, Vijay Kumar and Yunlong Song. Their work appears in journals such as IEEE Robotics and Automation Letters, Journal of Field Robotics, Journal of Intelligent & Robotic Systems, IEEE Transactions on Robotics and Robotics and Autonomous 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.