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Researcher · Mercedes-Benz (Germany) · Germany

Marius Cordts

Marius Cordts publishes mostly in Computer Vision and Pattern Recognition, Automotive Engineering and Radiology, Nuclear Medicine and Imaging, on topics such as Advanced Neural Network Applications, Video Surveillance and Tracking Methods and Advanced Image and Video Retrieval Techniques.

ORCID 0000-0001-8729-9233 OpenAlex
World rank
#1,264,254
of 7,710,434 ranked researchers
Rank in Germany
#62,298
of 364,343
Works
44
Citations
14k
Citations per work
318.3
h-index
14
i10-index 15Top 27% in Computer Vision and Pattern Recognition
Marius Cordts

What does Marius Cordts research?

Marius Cordts's work is mostly in Computer Science (56%), Engineering (15%), Medicine (12%).

Physical Sciences: 31 works · 71.4% of their workComputer Science: 25 works · 55.9% of their workComputer Vision and Pattern Recognition: 23 works · 51.2% of their workArtificial Intelligence: 2 works · 4.7% of their workEngineering: 7 works · 15.5% of their workAutomotive Engineering: 4 works · 9.3% of their workAerospace Engineering: 3 works · 6.2% of their workEverything else: 7 works · 16.9% of their workHealth Sciences: 5 works · 11.7% of their workMedicine: 5 works · 11.7% of their workRadiology, Nuclear Medicine and Imaging: 3 works · 7.8% of their workCardiology and Cardiovascular Medicine: 2 works · 3.9% of their workTHEIR WORKMarius Cordts44works
Physical Sciences71%Health Sciences12%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Computer Science2555.9%
    2. Engineering715.5%
  2. Everything else716.9%
    1. Medicine511.7%
  1. 1Computer Vision and Pattern Recognition51% of their works
  2. 2Automotive Engineering9% of their works
  3. 3Radiology, Nuclear Medicine and Imaging8% of their works
  4. 4Aerospace Engineering6% of their works
  5. 5Artificial Intelligence5% of their works
  6. 6Cardiology and Cardiovascular Medicine4% of their works

Research topics

Which keywords describe Marius Cordts's research?

The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Image Recognition, Object Detection, Object Tracking, Visual Tracking, Feature Matching and Local Descriptors.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 18 words, with their numbers
  1. Deep Learning776 topics
  2. Convolutional Neural Networks422 topics
  3. Image Recognition271 topic
  4. Object Detection271 topic
  5. Object Tracking151 topic
  6. Visual Tracking151 topic
  7. Feature Matching131 topic
  8. Local Descriptors131 topic
  9. Autonomous Vehicles121 topic
  10. Trajectory Prediction121 topic
  11. Magnetic Resonance Imaging61 topic
  12. Perfusion Imaging61 topic
  13. 3D Mapping51 topic
  14. Depth Estimation51 topic
  15. SLAM51 topic
  16. Stereo Vision51 topic
  17. Image Captioning41 topic
  18. Visual Question Answering41 topic

Where does Marius Cordts work?

Marius Cordts's main affiliation in the publication record is Mercedes-Benz (Germany), Germany.

How many publications and citations does Marius Cordts have?

OpenAlex counts 44 works and 14,004 citations for Marius Cordts, an h-index of 14, ranking #1,264,254 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

Discussion

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