Peter Beňo
Impact in
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- Robotic Path Planning Algorithms
- Aerospace Engineering top 5%
- Robotics and Sensor-Based Localization
- UAV Applications and Optimization
Papers in
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- Robotic Path Planning Algorithms 9
- Video Surveillance and Tracking Methods 4
- Advanced Image and Video Retrieval Techniques 4
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- Robotics and Sensor-Based Localization 7
- Co-authors
- František Duchoň (14 shared papers)Martin Kajan (3 shared papers)Martin Florek (2 shared papers)Andrej Babinec (3 shared papers)Ladislav Jurišica (1 shared paper)Tomáš Fico (1 shared paper)Martin Dekan (9 shared papers)Zuzana Loncová (3 shared papers)
- Journals
- Robotics (1 paper)Computer Methods and Programs in Biomedicine (1 paper)Solid-State Electronics (1 paper)Applied Sciences (1 paper)Machine Vision and Applications (1 paper)
- Partner nations
- SlovakiaUnited StatesGermany
In The Last Decade
Peter Beňo
20 papers receiving 690 citations
Peter Beňo's Hit Papers
Peers
Comparison fields: 5 of 79
- Computer Vision and Pattern Recognition 519
- Aerospace Engineering 310
- Control and Systems Engineering 211
- Automotive Engineering 82
- Industrial and Manufacturing Engineering 65
Countries citing papers authored by Peter Beňo
This map shows the geographic impact of Peter Beňo'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 Peter Beňo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Beňo more than expected).
Fields of papers citing papers by Peter Beňo
This network shows the impact of papers produced by Peter Beňo. 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 Peter Beňo. The network helps show where Peter Beňo may publish in the future.
Co-authors
The 17 scholars most cited alongside Peter Beňo, 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 | Path Planning with Modified a Star Algorithm for a Mobile Robot Hit paper breakdown → | 2014 | 609 |
| 2 | 2017 | 18 | |
| 3 | 2008 | 17 | |
| 4 | 2015 | 13 | |
| 5 | 2020 | 11 | |
| 6 | 2014 | 11 | |
| 7 | 2022 | 6 | |
| 8 | 2014 | 6 | |
| 9 | 2011 | 5 | |
| 10 | 2022 | 5 | |
| 11 | 2016 | 5 | |
| 12 | 2021 | 4 | |
| 13 | 2008 | 4 | |
| 14 | 2016 | 2 | |
| 15 | 2007 | 2 | |
| 16 | 2024 | 1 | |
| 17 | 2017 | 1 | |
| 18 | 2016 | 1 | |
| 19 | 2022 | 1 | |
| 20 | 2006 | 1 |
About Peter Beňo
Peter Beňo is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Electrical and Electronic Engineering, Control and Systems Engineering and Atomic and Molecular Physics, and Optics, having authored 20 papers that have together received 723 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (9 papers), Robotics and Sensor-Based Localization (7 papers), Video Surveillance and Tracking Methods (4 papers), Advanced Image and Video Retrieval Techniques (4 papers), Electrostatic Discharge in Electronics (4 papers), Silicon Carbide Semiconductor Technologies (3 papers), Robotic Mechanisms and Dynamics (2 papers) and Advancements in Semiconductor Devices and Circuit Design (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (519 citations), Aerospace Engineering (310 citations), Control and Systems Engineering (211 citations), Automotive Engineering (82 citations) and Industrial and Manufacturing Engineering (65 citations). Peter Beňo has collaborated with scholars based in Slovakia, United States and Germany. Frequent co-authors include František Duchoň, Martin Kajan, Martin Florek, Andrej Babinec, Ladislav Jurišica, Tomáš Fico, Martin Dekan, Zuzana Loncová, Juraj Marek and D. Donoval. Their work appears in journals such as Robotics, Computer Methods and Programs in Biomedicine, Solid-State Electronics, Applied Sciences and Machine Vision and Applications.
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.