Michael Dose
Impact in
- Cognitive Neuroscience top 10%
- Motor Control and Adaptation
- Embodied and Extended Cognition
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- Robotic Path Planning Algorithms
Papers in
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- Advanced Vision and Imaging 2
- Robotic Path Planning Algorithms 2
- Video Surveillance and Tracking Methods 2
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- Control and Dynamics of Mobile Robots 3
- Co-authors
- Gregor Schöner (3 shared papers)Christoph Engels (1 shared paper)Otmar Leo Bock (1 shared paper)Michael Brauckmann (2 shared papers)Rolf Eckmiller (1 shared paper)Murray Evans (1 shared paper)Ardhendu Behera (1 shared paper)Stéphane Herbin (1 shared paper)
- Journals
- Robotics and Autonomous Systems (2 papers)Behavioural Brain Research (1 paper)Springer tracts in advanced robotics (1 paper)Pattern Recognition Letters (1 paper)IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS) (1 paper)
- Partner nations
- GermanyFranceUnited Kingdom
In The Last Decade
Michael Dose
10 papers receiving 455 citations
Peers
Comparison fields: 5 of 39
- Cognitive Neuroscience 145
- Computer Vision and Pattern Recognition 126
- Control and Systems Engineering 133
- Artificial Intelligence 143
- Automotive Engineering 29
Countries citing papers authored by Michael Dose
This map shows the geographic impact of Michael Dose'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 Michael Dose with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Dose more than expected).
Fields of papers citing papers by Michael Dose
This network shows the impact of papers produced by Michael Dose. 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 Michael Dose. The network helps show where Michael Dose may publish in the future.
Co-authors
The 19 scholars most cited alongside Michael Dose, 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 | 1995 | 283 | |
| 2 | 1992 | 127 | |
| 3 | 2013 | 36 | |
| 4 | 1990 | 17 | |
| 5 | 2013 | 10 | |
| 6 | 2012 | 9 | |
| 7 | 1990 | 4 | |
| 8 | 1990 | 3 | |
| 9 | 1992 | 1 | |
| 10 | Die Ministererlaubnis im GWB als strategisches Instrument: Zur Verhandelbarkeit der gerichtlichen Kontrolle der Ministererlaubnis | 2017 | 1 |
| 11 | 2019 | 0 |
About Michael Dose
Michael Dose is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Artificial Intelligence, Strategy and Management and Cognitive Neuroscience, having authored 11 papers that have together received 491 indexed citations. Recurring topics across this work include Control and Dynamics of Mobile Robots (3 papers), Advanced Vision and Imaging (2 papers), Robotic Path Planning Algorithms (2 papers), AI-based Problem Solving and Planning (2 papers), Video Surveillance and Tracking Methods (2 papers), Psychiatry, Mental Health, Neuroscience (1 paper), Corporate Governance and Law (1 paper) and Motor Control and Adaptation (1 paper). The work is most often cited by research in Cognitive Neuroscience (145 citations), Computer Vision and Pattern Recognition (126 citations), Control and Systems Engineering (133 citations), Artificial Intelligence (143 citations) and Automotive Engineering (29 citations). Michael Dose has collaborated with scholars based in Germany, France and United Kingdom. Frequent co-authors include Gregor Schöner, Christoph Engels, Otmar Leo Bock, Michael Brauckmann, Rolf Eckmiller, Murray Evans, Ardhendu Behera, Stéphane Herbin, David Hogg and Longzhen Li. Their work appears in journals such as Robotics and Autonomous Systems, Behavioural Brain Research, Springer tracts in advanced robotics, Pattern Recognition Letters and IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS).
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.