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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- Video Surveillance and Tracking Methods 2
- Advanced Vision and Imaging 2
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- Robot Manipulation and Learning 2
- Co-authors
- Gregor Schöner (2 shared papers)Christoph Engels (1 shared paper)Rolf Eckmiller (1 shared paper)Otmar Bock (1 shared paper)José A. Rodríguez-Serrano (1 shared paper)Stéphane Herbin (1 shared paper)Longzhen Li (1 shared paper)J Šochman (1 shared paper)
- Journals
- Robotics and Autonomous Systems (2 papers)Behavioural Brain Research (1 paper)Pattern Recognition Letters (1 paper)
- Partner nations
- GermanyUnited KingdomFrance
In The Last Decade
Michael Dose
7 papers receiving 378 citations
Peers
Comparison fields: 5 of 61
- Computer Vision and Pattern Recognition 185
- Cognitive Neuroscience 134
- Control and Systems Engineering 116
- Artificial Intelligence 116
- Human-Computer Interaction 18
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 18 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 | 234 | |
| 2 | 1992 | 120 | |
| 3 | 2013 | 30 | |
| 4 | 1990 | 17 | |
| 5 | 2013 | 8 | |
| 6 | 1990 | 3 | |
| 7 | Die Ministererlaubnis im GWB als strategisches Instrument: Zur Verhandelbarkeit der gerichtlichen Kontrolle der Ministererlaubnis | 2017 | 2 |
About Michael Dose
Michael Dose is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Cognitive Neuroscience, Artificial Intelligence and Finance, having authored 7 papers that have together received 414 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (2 papers), Robot Manipulation and Learning (2 papers), Advanced Vision and Imaging (2 papers), Evacuation and Crowd Dynamics (1 paper), European Monetary and Fiscal Policies (1 paper), Image Processing Techniques and Applications (1 paper), Logic, Reasoning, and Knowledge (1 paper) and AI-based Problem Solving and Planning (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (185 citations), Cognitive Neuroscience (134 citations), Control and Systems Engineering (116 citations), Artificial Intelligence (116 citations) and Human-Computer Interaction (18 citations). Michael Dose has collaborated with scholars based in Germany, United Kingdom and France. Frequent co-authors include Gregor Schöner, Christoph Engels, Rolf Eckmiller, Otmar Bock, José A. Rodríguez-Serrano, Stéphane Herbin, Longzhen Li, J Šochman, Valerie Leung and Ardhendu Behera. Their work appears in journals such as Robotics and Autonomous Systems, Behavioural Brain Research and Pattern Recognition Letters.
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.