Tim Meinhardt
Impact in
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- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
- Human Pose and Action Recognition
- Advanced Image and Video Retrieval Techniques
- Advanced Vision and Imaging
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- Fire Detection and Safety Systems
Papers in
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- Video Surveillance and Tracking Methods 3
- Human Pose and Action Recognition 1
- Visual Attention and Saliency Detection 1
- Co-authors
- Laura Leal-Taixé (6 shared papers)Christoph Feichtenhofer (1 shared paper)Alexander Kirillov (1 shared paper)Arne F. Jacob (1 shared paper)S. Schuldt (1 shared paper)Y. Shu (2 shared papers)S. H. Suyu (1 shared paper)S. Taubenberger (2 shared papers)
- Journals
- Astronomy and Astrophysics (2 papers)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)arXiv (Cornell University) (1 paper)Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (1 paper)
In The Last Decade
Tim Meinhardt
8 papers receiving 543 citations
Tim Meinhardt's Hit Papers
Peers
Comparison fields: 5 of 65
- Computer Vision and Pattern Recognition 445
- Safety, Risk, Reliability and Quality 67
- Aerospace Engineering 126
- Instrumentation 15
- Artificial Intelligence 103
Countries citing papers authored by Tim Meinhardt
This map shows the geographic impact of Tim Meinhardt'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 Tim Meinhardt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Meinhardt more than expected).
Fields of papers citing papers by Tim Meinhardt
This network shows the impact of papers produced by Tim Meinhardt. 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 Tim Meinhardt. The network helps show where Tim Meinhardt may publish in the future.
Co-authors
The 19 scholars most cited alongside Tim Meinhardt, 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 | TrackFormer: Multi-Object Tracking with Transformers Hit paper breakdown → | 2022 | 524 |
| 2 | 2023 | 12 | |
| 3 | 2015 | 11 | |
| 4 | 2024 | 6 | |
| 5 | 2020 | 4 | |
| 6 | 1981 | 2 | |
| 7 | 2024 | 1 | |
| 8 | 2025 | 1 | |
| 9 | 2025 | 0 |
About Tim Meinhardt
Tim Meinhardt is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Aerospace Engineering, Electrical and Electronic Engineering and Instrumentation, having authored 9 papers that have together received 561 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (3 papers), Advanced Optical Sensing Technologies (2 papers), Automated Road and Building Extraction (1 paper), Galaxies: Formation, Evolution, Phenomena (1 paper), Remote Sensing and LiDAR Applications (1 paper), Calibration and Measurement Techniques (1 paper), Human Pose and Action Recognition (1 paper) and Visual Attention and Saliency Detection (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (445 citations), Safety, Risk, Reliability and Quality (67 citations), Aerospace Engineering (126 citations), Instrumentation (15 citations) and Artificial Intelligence (103 citations). Tim Meinhardt has collaborated with scholars based in Germany, Taiwan and Japan. Frequent co-authors include Laura Leal-Taixé, Christoph Feichtenhofer, Alexander Kirillov, Arne F. Jacob, S. Schuldt, Y. Shu, S. H. Suyu, S. Taubenberger, Dominik Enders and Yushan Zhang. Their work appears in journals such as Astronomy and Astrophysics, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), arXiv (Cornell University) and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.
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.