M. Galicki
Impact in
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- Robotic Mechanisms and Dynamics
- Adaptive Control of Nonlinear Systems
- Control and Dynamics of Mobile Robots
- Dynamics and Control of Mechanical Systems
- Robot Manipulation and Learning
- Iterative Learning Control Systems
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- Robotic Path Planning Algorithms
Papers in
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- Robotic Mechanisms and Dynamics 31
- Control and Dynamics of Mobile Robots 26
- Adaptive Control of Nonlinear Systems 18
- Dynamics and Control of Mechanical Systems 15
- Robot Manipulation and Learning 12
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- Robotic Path Planning Algorithms 28
- Co-authors
- Herbert Witte (21 shared papers)Lutz Leistritz (11 shared papers)Krzysztof Kȩdzior (3 shared papers)Anna Kosinska (3 shared papers)M. Eiselt (3 shared papers)Ernst B. Zwick (3 shared papers)E. Kochs (4 shared papers)Dariusz Uciński (1 shared paper)
In The Last Decade
M. Galicki
71 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 72
- Control and Systems Engineering 837
- Computer Vision and Pattern Recognition 310
- Computer Networks and Communications 126
- Cognitive Neuroscience 78
- Artificial Intelligence 124
Countries citing papers authored by M. Galicki
This map shows the geographic impact of M. Galicki'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 M. Galicki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Galicki more than expected).
Fields of papers citing papers by M. Galicki
This network shows the impact of papers produced by M. Galicki. 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 M. Galicki. The network helps show where M. Galicki may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Galicki, 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 77 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 181 | |
| 2 | 2016 | 113 | |
| 3 | 2003 | 50 | |
| 4 | 1998 | 47 | |
| 5 | 1997 | 45 | |
| 6 | 2003 | 36 | |
| 7 | 2000 | 36 | |
| 8 | 1999 | 29 | |
| 9 | 2003 | 27 | |
| 10 | 1992 | 25 | |
| 11 | 2005 | 25 | |
| 12 | 2010 | 22 | |
| 13 | 2013 | 21 | |
| 14 | 2005 | 20 | |
| 15 | 2010 | 18 | |
| 16 | 2016 | 18 | |
| 17 | 2012 | 17 | |
| 18 | 1997 | 16 | |
| 19 | 2016 | 16 | |
| 20 | 2015 | 16 |
About M. Galicki
M. Galicki is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence, Cognitive Neuroscience and Mechanical Engineering, having authored 77 papers that have together received 1.1k indexed citations. Recurring topics across this work include Robotic Mechanisms and Dynamics (31 papers), Robotic Path Planning Algorithms (28 papers), Control and Dynamics of Mobile Robots (26 papers), Adaptive Control of Nonlinear Systems (18 papers), Neural Networks and Applications (17 papers), Dynamics and Control of Mechanical Systems (15 papers), Robot Manipulation and Learning (12 papers) and EEG and Brain-Computer Interfaces (7 papers). The work is most often cited by research in Control and Systems Engineering (837 citations), Computer Vision and Pattern Recognition (310 citations), Computer Networks and Communications (126 citations), Cognitive Neuroscience (78 citations) and Artificial Intelligence (124 citations). M. Galicki has collaborated with scholars based in Poland, Germany and Austria. Frequent co-authors include Herbert Witte, Lutz Leistritz, Krzysztof Kȩdzior, Anna Kosinska, M. Eiselt, Ernst B. Zwick, E. Kochs, Dariusz Uciński, Berko Milleit and Vinay Saraph. Their work appears in journals such as Robotica, Robotics and Autonomous Systems, The International Journal of Robotics Research, Mechanism and Machine Theory and International Journal of Robust and Nonlinear Control.
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.