Jan Faigl
Impact in
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- Robotic Path Planning Algorithms
- Advanced Image and Video Retrieval Techniques
- Aerospace Engineering top 0.5%
- Robotics and Sensor-Based Localization
- UAV Applications and Optimization
Papers in
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- Robotic Path Planning Algorithms 91
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- Robotics and Sensor-Based Localization 59
- Co-authors
- Libor Přeučil (22 shared papers)Tomáš Krajník (16 shared papers)Petr Váňa (34 shared papers)Martin Saska (16 shared papers)Petr Čížek (24 shared papers)Miroslav Kulich (15 shared papers)Vojtěch Vonásek (10 shared papers)Robert Pěnička (10 shared papers)
- Journals
- IEEE Robotics and Automation Letters (9 papers)Autonomous Robots (5 papers)Neurocomputing (3 papers)Journal of Intelligent & Robotic Systems (3 papers)Robotics and Autonomous Systems (3 papers)
- Partner nations
- CzechiaUnited StatesUnited Kingdom
In The Last Decade
Jan Faigl
162 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 110
- Computer Vision and Pattern Recognition 1.6k
- Aerospace Engineering 1.4k
- Industrial and Manufacturing Engineering 378
- Computer Networks and Communications 588
- Control and Systems Engineering 427
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 168 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 221 | |
| 2 | 2014 | 175 | |
| 3 | 2016 | 111 | |
| 4 | 2020 | 98 | |
| 5 | 2013 | 75 | |
| 6 | 2009 | 71 | |
| 7 | 2017 | 69 | |
| 8 | 2017 | 64 | |
| 9 | 2010 | 61 | |
| 10 | 2019 | 60 | |
| 11 | 2012 | 56 | |
| 12 | 2017 | 49 | |
| 13 | 2012 | 48 | |
| 14 | 2018 | 45 | |
| 15 | 2011 | 41 | |
| 16 | 2021 | 38 | |
| 17 | 2010 | 38 | |
| 18 | 2013 | 37 | |
| 19 | 2019 | 36 | |
| 20 | 2018 | 35 |
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 168 papers that have together received 2.8k indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (91 papers), Robotics and Sensor-Based Localization (59 papers), Robotic Locomotion and Control (35 papers), Vehicle Routing Optimization Methods (30 papers), Modular Robots and Swarm Intelligence (21 papers), Robot Manipulation and Learning (15 papers), Metaheuristic Optimization Algorithms Research (13 papers) and Autonomous Vehicle Technology and Safety (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.6k citations), Aerospace Engineering (1.4k citations), Industrial and Manufacturing Engineering (378 citations), Computer Networks and Communications (588 citations) and Control and Systems Engineering (427 citations). Jan Faigl has collaborated with scholars based in Czechia, United States and United Kingdom. Frequent co-authors include Libor Přeučil, Tomáš Krajník, Petr Váňa, Martin Saska, Petr Čížek, Miroslav Kulich, Vojtěch Vonásek, Robert Pěnička, Daniel Fišer and Geoffrey A. Hollinger. Their work appears in journals such as IEEE Robotics and Automation Letters, Autonomous Robots, Neurocomputing, Journal of Intelligent & Robotic Systems 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.