Michaël Meyer
Impact in
- Instrumentation top 10%
- Advanced Optical Sensing Technologies
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- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
Papers in
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- Video Surveillance and Tracking Methods 5
- Advanced Vision and Imaging 4
- Advanced Neural Network Applications 2
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- Target Tracking and Data Fusion in Sensor Networks 3
- Anomaly Detection Techniques and Applications 2
- Co-authors
- Georg Kuschk (5 shared papers)Sven Tomforde (3 shared papers)Michael Hötter (5 shared papers)Hermann Hild (1 shared paper)Rudolf Mester (2 shared papers)Robert Bosch (1 shared paper)
- Journals
- American Literature (1 paper)IEEE Aerospace and Electronic Systems Magazine (1 paper)European Radar Conference (2 papers)Biblioteca Digital da Memória Científica do INPE (National Institute for Space Research) (1 paper)
- Partner nations
- GermanyUnited States
In The Last Decade
Michaël Meyer
14 papers receiving 237 citations
Peers
Comparison fields: 5 of 42
- Instrumentation 35
- Computer Vision and Pattern Recognition 133
- Aerospace Engineering 129
- Automotive Engineering 40
- Environmental Engineering 24
Countries citing papers authored by Michaël Meyer
This map shows the geographic impact of Michaël Meyer'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 Michaël Meyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michaël Meyer more than expected).
Fields of papers citing papers by Michaël Meyer
This network shows the impact of papers produced by Michaël Meyer. 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 Michaël Meyer. The network helps show where Michaël Meyer may publish in the future.
Co-authors
The 6 scholars most cited alongside Michaël Meyer, 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 | Automotive Radar Dataset for Deep Learning Based 3D Object Detection | 2019 | 80 |
| 2 | Deep Learning Based 3D Object Detection for Automotive Radar and Camera | 2019 | 53 |
| 3 | 2021 | 44 | |
| 4 | 1997 | 18 | |
| 5 | 1996 | 11 | |
| 6 | 2002 | 9 | |
| 7 | 2020 | 9 | |
| 8 | 1999 | 8 | |
| 9 | 1996 | 6 | |
| 10 | 1996 | 5 | |
| 11 | 2002 | 4 | |
| 12 | 1981 | 3 | |
| 13 | 2002 | 3 | |
| 14 | 2022 | 1 | |
| 15 | A GIS application for remote environmental surveillance in areas of petroleum exploration | 2007 | 1 |
| 16 | 2002 | 0 |
About Michaël Meyer
Michaël Meyer is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Aerospace Engineering, Signal Processing and Automotive Engineering, having authored 16 papers that have together received 255 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (5 papers), Advanced SAR Imaging Techniques (5 papers), Advanced Vision and Imaging (4 papers), Video Coding and Compression Technologies (3 papers), Target Tracking and Data Fusion in Sensor Networks (3 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (2 papers), Anomaly Detection Techniques and Applications (2 papers) and Advanced Neural Network Applications (2 papers). The work is most often cited by research in Instrumentation (35 citations), Computer Vision and Pattern Recognition (133 citations), Aerospace Engineering (129 citations), Automotive Engineering (40 citations) and Environmental Engineering (24 citations). Michaël Meyer has collaborated with scholars based in Germany and United States. Frequent co-authors include Georg Kuschk, Sven Tomforde, Michael Hötter, Hermann Hild, Rudolf Mester and Robert Bosch. Their work appears in journals such as American Literature, IEEE Aerospace and Electronic Systems Magazine, European Radar Conference and Biblioteca Digital da Memória Científica do INPE (National Institute for Space Research).
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.