Michael Görner
Impact in
- Human-Computer Interaction top 5%
- Hand Gesture Recognition Systems
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- Robot Manipulation and Learning
Papers in
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- Robot Manipulation and Learning 7
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- Robotic Path Planning Algorithms 3
- Co-authors
- Jianwei Zhang (9 shared papers)Robert Haschke (1 shared paper)Helge Ritter (1 shared paper)Philipp Ruppel (7 shared papers)Norman Hendrich (8 shared papers)Shuang Li (2 shared papers)Hongzhuo Liang (2 shared papers)Frank Steinicke (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)Advances in intelligent systems and computing (1 paper)
In The Last Decade
Michael Görner
12 papers receiving 332 citations
Peers
Comparison fields: 5 of 49
- Human-Computer Interaction 64
- Control and Systems Engineering 177
- Computer Vision and Pattern Recognition 149
- Cognitive Neuroscience 43
- Mechanical Engineering 69
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 | 88 | |
| 2 | 2019 | 66 | |
| 3 | 2018 | 56 | |
| 4 | 2020 | 55 | |
| 5 | 2022 | 19 | |
| 6 | 2022 | 17 | |
| 7 | 2022 | 14 | |
| 8 | 2021 | 12 | |
| 9 | 2018 | 10 | |
| 10 | 2020 | 3 | |
| 11 | 2024 | 1 | |
| 12 | 2021 | 1 | |
| 13 | 2024 | 0 | |
| 14 | 1991 | 0 |
About Michael Görner
Michael Görner is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Aerospace Engineering and Mechanical Engineering, having authored 14 papers that have together received 342 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (7 papers), Robotic Path Planning Algorithms (3 papers), Robotics and Sensor-Based Localization (3 papers), Human-Automation Interaction and Safety (2 papers), Tactile and Sensory Interactions (2 papers), Virtual Reality Applications and Impacts (1 paper), Multisensory perception and integration (1 paper) and Neural and Behavioral Psychology Studies (1 paper). The work is most often cited by research in Human-Computer Interaction (64 citations), Control and Systems Engineering (177 citations), Computer Vision and Pattern Recognition (149 citations), Cognitive Neuroscience (43 citations) and Mechanical Engineering (69 citations). Michael Görner has collaborated with scholars based in Germany, Spain and China. Frequent co-authors include Jianwei Zhang, Robert Haschke, Helge Ritter, Philipp Ruppel, Norman Hendrich, Shuang Li, Hongzhuo Liang, Frank Steinicke, Paul Lubos 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 Advances in intelligent systems and computing.
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.