Martin Barczyk
Impact in
- Aerospace Engineering top 5%
- Inertial Sensor and Navigation
- Robotics and Sensor-Based Localization
- Control and Systems Engineering top 10%
- Adaptive Control of Nonlinear Systems
Papers in
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- Robotics and Sensor-Based Localization 12
- Inertial Sensor and Navigation 5
- UAV Applications and Optimization 3
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- Robotic Path Planning Algorithms 6
- Co-authors
- Alan F. Lynch (7 shared papers)Younes Al Younes (4 shared papers)François Goulette (3 shared papers)Jean‐Emmanuel Deschaud (2 shared papers)Michael Lipsett (5 shared papers)Silvère Bonnabel (3 shared papers)Pablo Martı́nez (1 shared paper)Hong Zhang (1 shared paper)
In The Last Decade
Martin Barczyk
29 papers receiving 304 citations
Peers
Comparison fields: 5 of 39
- Aerospace Engineering 201
- Control and Systems Engineering 72
- Computer Vision and Pattern Recognition 66
- Geology 16
- Artificial Intelligence 85
Countries citing papers authored by Martin Barczyk
This map shows the geographic impact of Martin Barczyk'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 Martin Barczyk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Barczyk more than expected).
Fields of papers citing papers by Martin Barczyk
This network shows the impact of papers produced by Martin Barczyk. 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 Martin Barczyk. The network helps show where Martin Barczyk may publish in the future.
Co-authors
The 19 scholars most cited alongside Martin Barczyk, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 55 | |
| 2 | 2012 | 43 | |
| 3 | 2015 | 34 | |
| 4 | 2011 | 17 | |
| 5 | 2019 | 15 | |
| 6 | 2021 | 13 | |
| 7 | 2012 | 13 | |
| 8 | 2020 | 11 | |
| 9 | 2017 | 10 | |
| 10 | 2022 | 9 | |
| 11 | 2014 | 8 | |
| 12 | 2021 | 7 | |
| 13 | 2013 | 7 | |
| 14 | 2019 | 7 | |
| 15 | 2010 | 7 | |
| 16 | 2022 | 6 | |
| 17 | 2023 | 6 | |
| 18 | 2008 | 6 | |
| 19 | 2021 | 5 | |
| 20 | 2021 | 5 |
About Martin Barczyk
Martin Barczyk is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence, Control and Systems Engineering and Civil and Structural Engineering, having authored 31 papers that have together received 307 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (12 papers), Robotic Path Planning Algorithms (6 papers), Target Tracking and Data Fusion in Sensor Networks (6 papers), Inertial Sensor and Navigation (5 papers), Adaptive Control of Nonlinear Systems (4 papers), Granular flow and fluidized beds (4 papers), UAV Applications and Optimization (3 papers) and Soil Mechanics and Vehicle Dynamics (3 papers). The work is most often cited by research in Aerospace Engineering (201 citations), Control and Systems Engineering (72 citations), Computer Vision and Pattern Recognition (66 citations), Geology (16 citations) and Artificial Intelligence (85 citations). Martin Barczyk has collaborated with scholars based in Canada, France and Australia. Frequent co-authors include Alan F. Lynch, Younes Al Younes, François Goulette, Jean‐Emmanuel Deschaud, Michael Lipsett, Silvère Bonnabel, Pablo Martı́nez, Hong Zhang, Jennifer L. Beverly and Kim D. Listmann. Their work appears in journals such as Drones, Journal of Terramechanics, Robotics, IEEE Transactions on Control Systems Technology and Mechanical Systems and Signal Processing.
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.