Marius Cordts
- Computer Vision and Pattern Recognition top 0.1%
- Artificial Intelligence top 0.5%
- Aerospace Engineering top 1%
- Automotive Engineering top 1%
- Media Technology top 0.5%
- Co-authors
- Uwe FrankeMarkus EnzweilerStefan RothTimo RehfeldSebastian RamosMohamed OmranRodrigo BenensonBernt Schiele
- Topics
- Advanced Neural Network Applications (11 papers)Video Surveillance and Tracking Methods (8 papers)Advanced Image and Video Retrieval Techniques (6 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceImage and Vision ComputingIEEE Robotics and Automation Letters
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Marius Cordts
14 papers receiving 6.9k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Computer Vision and Pattern Recognition 5.7k
- Artificial Intelligence 2.4k
- Aerospace Engineering 773
- Automotive Engineering 750
- Media Technology 660
Countries citing papers authored by Marius Cordts
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 14 | |
| 7 | 3 | |
| 8 | 24 | |
| 9 | 28 | |
| 10 | Pixel-level encoding and depth layering for instance-level semantic segmentation | 5 |
| 11 | 9 | |
| 12 | The Cityscapes Dataset for Semantic Urban Scene Understandingbreakdown → | 6909 |
| 13 | 55 | |
| 14 | The Cityscapes Dataset | 63 |
| 15 | 1 | |
| 16 | 2 |
About Marius Cordts
Marius Cordts is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Automotive Engineering, having authored 16 papers that have together received 7.1k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (11 papers), Video Surveillance and Tracking Methods (8 papers) and Advanced Image and Video Retrieval Techniques (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (5.7k citations), Media Technology (660 citations) and Artificial Intelligence (2.4k citations). Marius Cordts has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Uwe Franke, Markus Enzweiler, Stefan Roth, Timo Rehfeld, Sebastian Ramos, Mohamed Omran, Rodrigo Benenson, Bernt Schiele, Lukas Schneider and David Pfeiffer. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Image and Vision Computing and IEEE Robotics and Automation Letters.
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.