Daniel Kubus
Impact in
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- Robot Manipulation and Learning
- Robotic Mechanisms and Dynamics
Papers in
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- Robot Manipulation and Learning 16
- Robotic Mechanisms and Dynamics 5
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- Teleoperation and Haptic Systems 7
- Co-authors
- Friedrich M. Wahl (20 shared papers)Torsten Kröger (8 shared papers)Jochen J. Steil (4 shared papers)A. Scholz (1 shared paper)Jingyuan Cheng (1 shared paper)Klaus Eichhorn (1 shared paper)Ingo Wagner (1 shared paper)Corrado Guarino Lo Bianco (2 shared papers)
- Journals
- Mechanical Systems and Signal Processing (1 paper)Advanced Robotics (1 paper)Frontiers in Neurorobotics (1 paper)International Conference on Robotics and Automation (1 paper)Fraunhofer-Publica (Fraunhofer-Gesellschaft) (1 paper)
In The Last Decade
Daniel Kubus
32 papers receiving 288 citations
Peers
Comparison fields: 5 of 44
- Control and Systems Engineering 207
- Human-Computer Interaction 17
- Mechanical Engineering 111
- Industrial and Manufacturing Engineering 29
- Biomedical Engineering 118
Countries citing papers authored by Daniel Kubus
This map shows the geographic impact of Daniel Kubus'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 Daniel Kubus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Kubus more than expected).
Fields of papers citing papers by Daniel Kubus
This network shows the impact of papers produced by Daniel Kubus. 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 Daniel Kubus. The network helps show where Daniel Kubus may publish in the future.
Co-authors
The 13 scholars most cited alongside Daniel Kubus, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 45 | |
| 2 | 2007 | 39 | |
| 3 | 2008 | 23 | |
| 4 | 2014 | 20 | |
| 5 | 2009 | 14 | |
| 6 | MiRPA: Middleware for robotic and process control applications | 2007 | 13 |
| 7 | 2006 | 12 | |
| 8 | 2018 | 12 | |
| 9 | 2016 | 11 | |
| 10 | 2007 | 11 | |
| 11 | 2018 | 9 | |
| 12 | 2008 | 9 | |
| 13 | 2014 | 9 | |
| 14 | 2010 | 9 | |
| 15 | 2018 | 8 | |
| 16 | 2009 | 6 | |
| 17 | 2016 | 6 | |
| 18 | 2015 | 5 | |
| 19 | 2011 | 5 | |
| 20 | 2015 | 4 |
About Daniel Kubus
Daniel Kubus is a scholar working on Control and Systems Engineering, Mechanical Engineering, Biomedical Engineering, Cognitive Neuroscience and Aerospace Engineering, having authored 32 papers that have together received 296 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (16 papers), Teleoperation and Haptic Systems (7 papers), Soft Robotics and Applications (7 papers), Inertial Sensor and Navigation (5 papers), Robotic Mechanisms and Dynamics (5 papers), Tactile and Sensory Interactions (5 papers), Robotics and Sensor-Based Localization (4 papers) and Sensor Technology and Measurement Systems (4 papers). The work is most often cited by research in Control and Systems Engineering (207 citations), Human-Computer Interaction (17 citations), Mechanical Engineering (111 citations), Industrial and Manufacturing Engineering (29 citations) and Biomedical Engineering (118 citations). Daniel Kubus has collaborated with scholars based in Germany, Italy and Poland. Frequent co-authors include Friedrich M. Wahl, Torsten Kröger, Jochen J. Steil, A. Scholz, Jingyuan Cheng, Klaus Eichhorn, Ingo Wagner, Corrado Guarino Lo Bianco, Friedrich Bootz and Christian Pek. Their work appears in journals such as Mechanical Systems and Signal Processing, Advanced Robotics, Frontiers in Neurorobotics, International Conference on Robotics and Automation and Fraunhofer-Publica (Fraunhofer-Gesellschaft).
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.