Markus Bernard
Impact in
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- Adaptive Control of Nonlinear Systems
- Control and Dynamics of Mobile Robots
- Dynamics and Control of Mechanical Systems
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- Robotic Path Planning Algorithms
Papers in
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- Inertial Sensor and Navigation 3
- UAV Applications and Optimization 2
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- Adaptive Control of Nonlinear Systems 4
- Dynamics and Control of Mechanical Systems 2
- Control Systems and Identification 2
- Co-authors
- Konstantin KondakAnı́bal OlleroIván MazaGünter HommelG. HommelLodewijk van HoeselPedro José MarrónFederico Corraro
In The Last Decade
Markus Bernard
12 papers receiving 793 citations
Hit Papers
Peers
Comparison fields: 5 of 50
- Control and Systems Engineering 436
- Computer Vision and Pattern Recognition 353
- Aerospace Engineering 401
- Computer Networks and Communications 310
- Ocean Engineering 63
Countries citing papers authored by Markus Bernard
This map shows the geographic impact of Markus Bernard'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 Markus Bernard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Bernard more than expected).
Fields of papers citing papers by Markus Bernard
This network shows the impact of papers produced by Markus Bernard. 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 Markus Bernard. The network helps show where Markus Bernard may publish in the future.
Co-authorship network
The 15 scholars most cited alongside Markus Bernard, 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 | Autonomous transportation and deployment with aerial robots for search and rescue missions Hit paper breakdown → | 2011 | 287 |
| 2 | 2010 | 25 | |
| 3 | 2010 | 9 | |
| 4 | 2009 | 223 | |
| 5 | 2009 | 11 | |
| 6 | 2009 | 152 | |
| 7 | 2009 | 3 | |
| 8 | 2008 | 11 | |
| 9 | 2008 | 8 | |
| 10 | 2007 | 47 | |
| 11 | 2007 | 46 | |
| 12 | A NEW MEANS OF STUDYING RAILWAY AERODYNAMIC PROBLEMS. THE LONG WIND TUNNEL AT THE SAINT-CYR L'ECOLE AEROTECHNICAL INSTITUTE | 1973 | 1 |
About Markus Bernard
Markus Bernard is a scholar working on Aerospace Engineering, Control and Systems Engineering, Automotive Engineering, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 12 papers that have together received 823 indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (4 papers), Inertial Sensor and Navigation (3 papers), Robotic Path Planning Algorithms (3 papers), Dynamics and Control of Mechanical Systems (2 papers), UAV Applications and Optimization (2 papers), Target Tracking and Data Fusion in Sensor Networks (2 papers), Control Systems and Identification (2 papers) and Distributed Control Multi-Agent Systems (2 papers). The work is most often cited by research in Control and Systems Engineering (436 citations), Computer Vision and Pattern Recognition (353 citations), Aerospace Engineering (401 citations), Computer Networks and Communications (310 citations) and Ocean Engineering (63 citations). Markus Bernard has collaborated with scholars based in Germany, Spain and Italy. Frequent co-authors include Konstantin Kondak, Anı́bal Ollero, Iván Maza, Günter Hommel, G. Hommel, Lodewijk van Hoesel, Pedro José Marrón, Federico Corraro, G. De Matteis and Jialu Du. Their work appears in journals such as Journal of Field Robotics, Journal of Aircraft, Journal of Intelligent & Robotic Systems, The Aeronautical Journal and International Journal of Advanced 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.