Mirko Meuter
- Computer Vision and Pattern Recognition top 5%
- Automotive Engineering top 5%
- Artificial Intelligence
- Environmental Engineering
- Aerospace Engineering
- Topics
- Advanced Vision and Imaging (12 papers)Video Surveillance and Tracking Methods (10 papers)Autonomous Vehicle Technology and Safety (9 papers)
- Journals
- IEEE Transactions on Intelligent Transportation SystemsInternational Conference on Information Fusion2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)
- Partner nations
- GermanyUnited States
In The Last Decade
Mirko Meuter
25 papers receiving 333 citations
Peers
Comparison fields: 5 of 34
- Computer Vision and Pattern Recognition 248
- Automotive Engineering 194
- Artificial Intelligence 59
- Environmental Engineering 55
- Aerospace Engineering 53
Countries citing papers authored by Mirko Meuter
This map shows the geographic impact of Mirko Meuter'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 Mirko Meuter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mirko Meuter more than expected).
Fields of papers citing papers by Mirko Meuter
This network shows the impact of papers produced by Mirko Meuter. 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 Mirko Meuter. The network helps show where Mirko Meuter may publish in the future.
Co-authorship network of co-authors of Mirko Meuter
This figure shows the co-authorship network connecting the top 25 collaborators of Mirko Meuter. A scholar is included among the top collaborators of Mirko Meuter based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mirko Meuter. Mirko Meuter is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 2 | |
| 3 | 6 | |
| 4 | 5 | |
| 5 | 2 | |
| 6 | 9 | |
| 7 | A novel multi-hypothesis tracking framework for lane recognition | 2 |
| 8 | Road Boundary Detection and Tracking using monochrome camera images | 7 |
| 9 | 72 | |
| 10 | 10 | |
| 11 | 45 | |
| 12 | 2 | |
| 13 | 8 | |
| 14 | 1 | |
| 15 | 34 | |
| 16 | 33 | |
| 17 | 12 | |
| 18 | 31 | |
| 19 | 21 | |
| 20 | 5 |
About Mirko Meuter
Mirko Meuter is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Aerospace Engineering, having authored 26 papers that have together received 350 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (12 papers), Video Surveillance and Tracking Methods (10 papers) and Autonomous Vehicle Technology and Safety (9 papers). The work is most often cited by research in Automotive Engineering (194 citations), Computer Vision and Pattern Recognition (248 citations) and Media Technology (51 citations). Mirko Meuter has collaborated with scholars based in Germany and United States. Frequent co-authors include Stefan Müller-Schneiders, Anton Kummert, Josef Pauli, Kun Zhao, Christian Wöhler and Anselm Haselhoff. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, International Conference on Information Fusion and 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC).
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.