Marius Cordts

13.3k total citations · 1 hit paper
16 papers, 7.1k citations indexed

About

Marius Cordts is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Aerospace Engineering. According to data from OpenAlex, Marius Cordts has authored 16 papers receiving a total of 7.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 3 papers in Automotive Engineering and 3 papers in Aerospace Engineering. Recurrent topics in Marius Cordts's work include Advanced Neural Network Applications (11 papers), Video Surveillance and Tracking Methods (8 papers) and Advanced Image and Video Retrieval Techniques (6 papers). Marius Cordts is often cited by papers focused on Advanced Neural Network Applications (11 papers), Video Surveillance and Tracking Methods (8 papers) and Advanced Image and Video Retrieval Techniques (6 papers). Marius Cordts collaborates with scholars based in Germany, United States and Switzerland. Marius Cordts's co-authors include Uwe Franke, Markus Enzweiler, Stefan Roth, Timo Rehfeld, Sebastian Ramos, Mohamed Omran, Rodrigo Benenson, Bernt Schiele, Lukas Schneider and David Pfeiffer and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Image and Vision Computing and IEEE Robotics and Automation Letters.

In The Last Decade

Marius Cordts

14 papers receiving 6.9k 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.

The Cityscapes Dataset for Semantic Urban Scene Understanding

2016 6.9k citations Marius Cordts, Mohamed Omran et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marius Cordts Germany	7	5.7k	2.4k	773	750	660	16	7.1k
Timo Rehfeld Germany	6	5.6k 1.0×	2.4k 1.0×	764 1.0×	731 1.0×	656 1.0×	8	7.0k
Mohamed Omran Germany	8	6.3k 1.1×	2.5k 1.1×	787 1.0×	842 1.1×	683 1.0×	10	7.7k
Sebastian Ramos Spain	9	5.9k 1.0×	2.5k 1.0×	775 1.0×	765 1.0×	676 1.0×	12	7.3k
Markus Enzweiler Germany	17	7.1k 1.3×	2.7k 1.1×	975 1.3×	1.2k 1.5×	739 1.1×	34	8.7k
Fisher Yu United States	32	7.8k 1.4×	2.6k 1.1×	1.4k 1.8×	748 1.0×	855 1.3×	70	11.1k
Rodrigo Benenson Germany	24	9.2k 1.6×	3.3k 1.4×	1.1k 1.5×	1.2k 1.5×	990 1.5×	32	11.2k
Jifeng Dai China	26	9.2k 1.6×	2.7k 1.1×	1.3k 1.7×	491 0.7×	1.5k 2.3×	53	12.0k
Jasper Uijlings Italy	23	6.3k 1.1×	2.2k 0.9×	709 0.9×	233 0.3×	822 1.2×	44	7.8k
Song Bai China	42	5.6k 1.0×	2.4k 1.0×	855 1.1×	187 0.2×	691 1.0×	115	8.1k
Tong He China	21	5.8k 1.0×	1.8k 0.8×	1.3k 1.7×	241 0.3×	1.3k 2.0×	69	8.0k

Countries citing papers authored by Marius Cordts

Since Specialization

Citations

This map shows the geographic impact of Marius Cordts'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 Marius Cordts with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marius Cordts more than expected).

Fields of papers citing papers by Marius Cordts

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marius Cordts. 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 Marius Cordts. The network helps show where Marius Cordts may publish in the future.

Co-authorship network of co-authors of Marius Cordts

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

All Works

Sort: Min cites: Since: Top N: Style:

16 of 16 papers shown

1.

Schneider, Lukas, et al.. (2025). ADA-Track++: End-to-End Multi-Camera 3D Multi-Object Tracking With Alternating Detection and Association. IEEE Transactions on Pattern Analysis and Machine Intelligence. 48(1). 482–499.

2.

Cordts, Marius, et al.. (2025). Emperror: A Flexible Generative Perception Error Model for Probing Self-Driving Planners. IEEE Robotics and Automation Letters. 10(6). 5807–5814.

3.

Holtz, David, et al.. (2025). Neural Rendering for Sensor Adaptation in 3D Object Detection. ArXiv.org. 1400–1407. 1 indexed citations

4.

Schneider, Lukas, et al.. (2024). Dualad: Disentangling the Dynamic and Static World for End-to-End Driving. 14728–14737. 1 indexed citations

5.

Schneider, Lukas, et al.. (2024). ADA-Track: End-to-End Multi-Camera 3D Multi-Object Tracking with Alternating Detection and Association. 15184–15194. 4 indexed citations

6.

Li, Peizheng, et al.. (2023). PowerBEV: A Powerful Yet Lightweight Framework for Instance Prediction in Bird’s-Eye View. 1080–1088. 14 indexed citations

7.

Uhrig, Jonas, et al.. (2023). A Novel Benchmark for Refinement of Noisy Localization Labels in Autolabeled Datasets for Object Detection. 3851–3860. 3 indexed citations

8.

Rehder, Eike, et al.. (2023). 3DMOTFormer: Graph Transformer for Online 3D Multi-Object Tracking. 9750–9760. 24 indexed citations

9.

Cordts, Marius, Timo Rehfeld, Lukas Schneider, et al.. (2017). The Stixel World: A medium-level representation of traffic scenes. Image and Vision Computing. 68. 40–52. 28 indexed citations

10.

Uhrig, Jonas, Marius Cordts, Uwe Franke, & Thomas Brox. (2016). Pixel-level encoding and depth layering for instance-level semantic segmentation. 5 indexed citations

11.

Cordts, Marius, Timo Rehfeld, Markus Enzweiler, Uwe Franke, & Stefan Roth. (2016). Tree-Structured Models for Efficient Multi-Cue Scene Labeling. IEEE Transactions on Pattern Analysis and Machine Intelligence. 39(7). 1444–1454. 9 indexed citations

12.

Cordts, Marius, Mohamed Omran, Sebastian Ramos, et al.. (2016). The Cityscapes Dataset for Semantic Urban Scene Understanding. 3213–3223. 6909 indexed citations breakdown →

13.

Schneider, Lukas, Marius Cordts, Timo Rehfeld, et al.. (2016). Semantic Stixels: Depth is not enough. 110–117. 55 indexed citations

14.

Cordts, Marius, Mohamed Omran, Sebastian Ramos, et al.. (2015). The Cityscapes Dataset. MPG.PuRe (Max Planck Society). 63 indexed citations

15.

Smith, Peter, Benjamin H. Freed, Bradley D. Allen, et al.. (2014). Biventricular strain analysis at 1.5T cardiac MR imaging: preliminary results in volunteers using an iterative SENSE reconstruction with L1 regularization. Journal of Cardiovascular Magnetic Resonance. 16. W4–W4. 1 indexed citations

16.

Kalisz, Kevin, Benjamin H. Freed, Xiaoming Bi, et al.. (2013). Quantitative cardiac MR assessment of left ventricular diastology. Journal of Cardiovascular Magnetic Resonance. 15. P27–P27. 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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