Michael Dose
Impact in
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- Robotic Path Planning Algorithms
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
Papers in
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- Advanced Vision and Imaging 3
- Robotic Path Planning Algorithms 2
- Video Surveillance and Tracking Methods 2
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- Robot Manipulation and Learning 3
- Co-authors
- Gregor Schöner (3 shared papers)Christoph Engels (1 shared paper)Otmar Bock (1 shared paper)Rolf Eckmiller (1 shared paper)Murray Evans (1 shared paper)J Šochman (1 shared paper)David Hogg (1 shared paper)Ardhendu Behera (1 shared paper)
- Journals
- Robotics and Autonomous Systems (2 papers)Springer tracts in advanced robotics (1 paper)Pattern Recognition Letters (1 paper)Behavioural Brain Research (1 paper)Informatik aktuell (1 paper)
- Partner nations
- GermanyFranceUnited Kingdom
In The Last Decade
Michael Dose
10 papers receiving 456 citations
Peers
Comparison fields: 5 of 64
- Computer Vision and Pattern Recognition 222
- Cognitive Neuroscience 164
- Control and Systems Engineering 131
- Artificial Intelligence 138
- Human-Computer Interaction 22
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 20 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 | 287 | |
| 2 | 1992 | 133 | |
| 3 | 2013 | 34 | |
| 4 | 1990 | 17 | |
| 5 | 2012 | 9 | |
| 6 | 2013 | 9 | |
| 7 | 1990 | 4 | |
| 8 | 1990 | 3 | |
| 9 | Die Ministererlaubnis im GWB als strategisches Instrument: Zur Verhandelbarkeit der gerichtlichen Kontrolle der Ministererlaubnis | 2017 | 2 |
| 10 | 1992 | 1 | |
| 11 | 2019 | 1 | |
| 12 | 2019 | 1 |
About Michael Dose
Michael Dose is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Law, Strategy and Management and Cognitive Neuroscience, having authored 12 papers that have together received 501 indexed citations. Recurring topics across this work include Law and Political Science (3 papers), Advanced Vision and Imaging (3 papers), Robot Manipulation and Learning (3 papers), Robotic Path Planning Algorithms (2 papers), Video Surveillance and Tracking Methods (2 papers), Corporate Governance and Law (2 papers), CCD and CMOS Imaging Sensors (2 papers) and Taxation and Legal Issues (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (222 citations), Cognitive Neuroscience (164 citations), Control and Systems Engineering (131 citations), Artificial Intelligence (138 citations) and Human-Computer Interaction (22 citations). Michael Dose has collaborated with scholars based in Germany, France and United Kingdom. Frequent co-authors include Gregor Schöner, Christoph Engels, Otmar Bock, Rolf Eckmiller, Murray Evans, J Šochman, David Hogg, Ardhendu Behera, Stéphane Herbin and James Ferryman. Their work appears in journals such as Robotics and Autonomous Systems, Springer tracts in advanced robotics, Pattern Recognition Letters, Behavioural Brain Research and Informatik aktuell.
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.