Michael Görner
Impact in
- Human-Computer Interaction top 10%
- Hand Gesture Recognition Systems
- Control and Systems Engineering top 10%
- Robot Manipulation and Learning
- Robotic Mechanisms and Dynamics
Papers in
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- Robot Manipulation and Learning 5
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- Robotic Path Planning Algorithms 3
- Co-authors
- Jianwei Zhang (7 shared papers)Robert Haschke (1 shared paper)Helge Ritter (1 shared paper)Philipp Ruppel (5 shared papers)Norman Hendrich (5 shared papers)Hongzhuo Liang (2 shared papers)Shuang Li (2 shared papers)Paul Lubos (1 shared paper)
- Journals
- Frontiers in Neurorobotics (2 papers)IEEE Transactions on Cognitive and Developmental Systems (1 paper)IEEE Robotics & Automation Magazine (1 paper)Frontiers in Robotics and AI (1 paper)Informationen Deutsch als Fremdsprache (1 paper)
- Partner nations
- GermanySpainUnited Kingdom
In The Last Decade
Michael Görner
9 papers receiving 288 citations
Peers
Comparison fields: 5 of 48
- Human-Computer Interaction 54
- Control and Systems Engineering 155
- Computer Vision and Pattern Recognition 134
- Mechanical Engineering 66
- Artificial Intelligence 56
Countries citing papers authored by Michael Görner
This map shows the geographic impact of Michael Görner'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 Görner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Görner more than expected).
Fields of papers citing papers by Michael Görner
This network shows the impact of papers produced by Michael Görner. 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 Görner. The network helps show where Michael Görner may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Görner, 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 | 2019 | 81 | |
| 2 | 2019 | 62 | |
| 3 | 2020 | 50 | |
| 4 | 2018 | 49 | |
| 5 | 2022 | 18 | |
| 6 | 2022 | 14 | |
| 7 | 2022 | 11 | |
| 8 | 2021 | 10 | |
| 9 | 2020 | 3 | |
| 10 | 2024 | 0 | |
| 11 | 1991 | 0 |
About Michael Görner
Michael Görner is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Mechanical Engineering and Social Psychology, having authored 11 papers that have together received 298 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (5 papers), Robotic Path Planning Algorithms (3 papers), Robotics and Sensor-Based Localization (2 papers), Human-Automation Interaction and Safety (2 papers), Tactile and Sensory Interactions (2 papers), Hand Gesture Recognition Systems (1 paper), Multisensory perception and integration (1 paper) and EEG and Brain-Computer Interfaces (1 paper). The work is most often cited by research in Human-Computer Interaction (54 citations), Control and Systems Engineering (155 citations), Computer Vision and Pattern Recognition (134 citations), Mechanical Engineering (66 citations) and Artificial Intelligence (56 citations). Michael Görner has collaborated with scholars based in Germany, Spain and United Kingdom. Frequent co-authors include Jianwei Zhang, Robert Haschke, Helge Ritter, Philipp Ruppel, Norman Hendrich, Hongzhuo Liang, Shuang Li, Paul Lubos, Fuchun Sun and Bin Fang. Their work appears in journals such as Frontiers in Neurorobotics, IEEE Transactions on Cognitive and Developmental Systems, IEEE Robotics & Automation Magazine, Frontiers in Robotics and AI and Informationen Deutsch als Fremdsprache.
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.