Tim Meinhardt

976 total citations · 1 hit paper
9 papers, 561 citations indexed

About

Tim Meinhardt is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Tim Meinhardt has authored 9 papers receiving a total of 561 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 3 papers in Aerospace Engineering. Recurrent topics in Tim Meinhardt's work include Video Surveillance and Tracking Methods (3 papers), Advanced Optical Sensing Technologies (2 papers) and Infrared Target Detection Methodologies (1 paper). Tim Meinhardt is often cited by papers focused on Video Surveillance and Tracking Methods (3 papers), Advanced Optical Sensing Technologies (2 papers) and Infrared Target Detection Methodologies (1 paper). Tim Meinhardt collaborates with scholars based in Germany, Taiwan and Israel. Tim Meinhardt's co-authors include Laura Leal-Taixé, Christoph Feichtenhofer, Alexander Kirillov, Arne F. Jacob, S. H. Suyu, S. Schuldt, Y. Shu, S. Taubenberger, Dominik Enders and Anupreeta More and has published in prestigious journals such as Astronomy and Astrophysics, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and arXiv (Cornell University).

In The Last Decade

Tim Meinhardt

8 papers receiving 543 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

TrackFormer: Multi-Object Tracking with Transformers

2022 524 citations Tim Meinhardt, Alexander Kirillov et al. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Tim Meinhardt Germany	5	445	126	103	67	48	9	561
Georg Nebehay Austria	5	563 1.3×	163 1.3×	58 0.6×	85 1.3×	52 1.1×	9	628
Ju Hong Yoon South Korea	7	304 0.7×	102 0.8×	149 1.4×	34 0.5×	39 0.8×	14	400
Huijun Di China	13	523 1.2×	85 0.7×	147 1.4×	26 0.4×	32 0.7×	41	630
Chong Sun China	13	449 1.0×	275 2.2×	52 0.5×	109 1.6×	136 2.8×	31	748
Nobuyoshi Enomoto Japan	3	821 1.8×	112 0.9×	194 1.9×	108 1.6×	132 2.8×	5	913
Visesh Chari India	11	457 1.0×	167 1.3×	48 0.5×	12 0.2×	38 0.8×	20	542
Fangqiang Ding China	11	567 1.3×	376 3.0×	85 0.8×	188 2.8×	97 2.0×	20	679
Qinfen Zheng United States	14	408 0.9×	147 1.2×	81 0.8×	15 0.2×	68 1.4×	37	571
Shoudong Han China	9	428 1.0×	79 0.6×	69 0.7×	62 0.9×	25 0.5×	24	491

Countries citing papers authored by Tim Meinhardt

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Tim Meinhardt

This figure shows the co-authorship network connecting the top 25 collaborators of Tim Meinhardt. A scholar is included among the top collaborators of Tim Meinhardt 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 Tim Meinhardt. Tim Meinhardt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

1.

Meinhardt, Tim, et al.. (2025). MCBLT: Multi-Camera Multi-Object 3D Tracking in Long Videos. 5304–5313.

2.

Zhang, Yushan, Aljoša Ošep, Laura Leal-Taixé, & Tim Meinhardt. (2025). Zero-Shot 4D Lidar Panoptic Segmentation. 24506–24517. 1 indexed citations

3.

Schuldt, S., Y. Shu, S. Taubenberger, et al.. (2024). HOLISMOKES. Astronomy and Astrophysics. 692. A72–A72. 6 indexed citations

4.

Maximov, Maxim, et al.. (2024). Data-Driven but Privacy-Conscious: Pedestrian Dataset De-Identification via Full-Body Person Synthesis. abs/1603.00831. 1–10. 1 indexed citations

5.

Schuldt, S., Y. Shu, S. H. Suyu, et al.. (2023). HOLISMOKES. Astronomy and Astrophysics. 671. A147–A147. 12 indexed citations

6.

Meinhardt, Tim, Alexander Kirillov, Laura Leal-Taixé, & Christoph Feichtenhofer. (2022). TrackFormer: Multi-Object Tracking with Transformers. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 8834–8844. 524 indexed citations breakdown →

7.

Meinhardt, Tim & Laura Leal-Taixé. (2020). Make One-Shot Video Object Segmentation Efficient Again. arXiv (Cornell University). 33. 10607–10619. 4 indexed citations

8.

Meinhardt, Tim, et al.. (2015). Compact wideband single-ended and differential microstrip-to-waveguide transitions at W-band. 1–4. 11 indexed citations

9.

Enders, Dominik, et al.. (1981). <title>Hybrid Silicon Focal Plane Development: An Update</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 267. 23–30. 2 indexed citations

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.

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