Jan Faigl
Impact in
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- Robotic Path Planning Algorithms
- Aerospace Engineering top 1%
- Robotics and Sensor-Based Localization
- UAV Applications and Optimization
Papers in
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- Robotic Path Planning Algorithms 78
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- Robotics and Sensor-Based Localization 44
- Co-authors
- Libor Přeučil (20 shared papers)Petr Váňa (30 shared papers)Martin Saska (15 shared papers)Miroslav Kulich (15 shared papers)Tomáš Krajník (12 shared papers)Petr Čížek (21 shared papers)Robert Pěnička (10 shared papers)Geoffrey A. Hollinger (2 shared papers)
- Journals
- IEEE Robotics and Automation Letters (9 papers)Autonomous Robots (5 papers)Neurocomputing (3 papers)Robotics and Autonomous Systems (3 papers)Journal of Intelligent & Robotic Systems (3 papers)
- Partner nations
- CzechiaUnited KingdomUnited States
In The Last Decade
Jan Faigl
133 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 102
- Computer Vision and Pattern Recognition 1.2k
- Aerospace Engineering 969
- Industrial and Manufacturing Engineering 314
- Computer Networks and Communications 460
- Computer Graphics and Computer-Aided Design 53
Countries citing papers authored by Jan Faigl
This map shows the geographic impact of Jan Faigl'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 Jan Faigl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Faigl more than expected).
Fields of papers citing papers by Jan Faigl
This network shows the impact of papers produced by Jan Faigl. 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 Jan Faigl. The network helps show where Jan Faigl may publish in the future.
Co-authors
The 25 scholars most cited alongside Jan Faigl, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 137 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 161 | |
| 2 | 2016 | 98 | |
| 3 | 2009 | 68 | |
| 4 | 2017 | 66 | |
| 5 | 2017 | 61 | |
| 6 | 2013 | 61 | |
| 7 | 2019 | 54 | |
| 8 | 2010 | 53 | |
| 9 | 2017 | 46 | |
| 10 | 2012 | 44 | |
| 11 | 2018 | 43 | |
| 12 | 2012 | 43 | |
| 13 | 2021 | 37 | |
| 14 | 2011 | 36 | |
| 15 | 2010 | 35 | |
| 16 | 2013 | 33 | |
| 17 | 2018 | 33 | |
| 18 | 2019 | 32 | |
| 19 | 2015 | 32 | |
| 20 | 2019 | 31 |
About Jan Faigl
Jan Faigl is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Biomedical Engineering, Industrial and Manufacturing Engineering and Control and Systems Engineering, having authored 137 papers that have together received 2.1k indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (78 papers), Robotics and Sensor-Based Localization (44 papers), Robotic Locomotion and Control (29 papers), Vehicle Routing Optimization Methods (27 papers), Modular Robots and Swarm Intelligence (18 papers), Autonomous Vehicle Technology and Safety (11 papers), Metaheuristic Optimization Algorithms Research (10 papers) and Robot Manipulation and Learning (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.2k citations), Aerospace Engineering (969 citations), Industrial and Manufacturing Engineering (314 citations), Computer Networks and Communications (460 citations) and Computer Graphics and Computer-Aided Design (53 citations). Jan Faigl has collaborated with scholars based in Czechia, United Kingdom and United States. Frequent co-authors include Libor Přeučil, Petr Váňa, Martin Saska, Miroslav Kulich, Tomáš Krajník, Petr Čížek, Robert Pěnička, Geoffrey A. Hollinger, Graeme Best and Jan Chudoba. Their work appears in journals such as IEEE Robotics and Automation Letters, Autonomous Robots, Neurocomputing, Robotics and Autonomous Systems and Journal of Intelligent & Robotic 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.