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Researcher · Daimler (Germany) · Germany

Markus Enzweiler

Markus Enzweiler publishes mostly in Computer Vision and Pattern Recognition, Aerospace Engineering and Automotive Engineering, on topics such as Video Surveillance and Tracking Methods, Advanced Neural Network Applications and Robotics and Sensor-Based Localization.

ORCID 0000-0001-9211-9882 OpenAlex
World rank
#240,387
of 7,710,434 ranked researchers
Rank in Germany
#12,152
of 364,343
Works
71
Citations
17k
Citations per work
240.6
h-index
23
i10-index 29Top 9.7% in Computer Vision and Pattern Recognition
Markus Enzweiler

What does Markus Enzweiler research?

Markus Enzweiler's work is mostly in Computer Science (58%), Engineering (24%), Environmental Science (2%).

Physical Sciences: 60 works · 84.5% of their workComputer Science: 41 works · 58.3% of their workComputer Vision and Pattern Recognition: 36 works · 50.8% of their workArtificial Intelligence: 4 works · 5.5% of their workComputer Graphics and Computer-Aided Design: 1 works · 2.0% of their workEngineering: 17 works · 23.7% of their workAerospace Engineering: 9 works · 12.1% of their workAutomotive Engineering: 8 works · 11.6% of their workEnvironmental Science: 2 works · 2.5% of their workEnvironmental Engineering: 2 works · 2.5% of their workEverything else: 11 works · 15.5% of their workTHEIR WORKMarkus Enzweiler71works
Physical Sciences84%

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 Science4158.3%
    2. Engineering1723.7%
    3. Environmental Science22.5%
  2. Everything else1115.5%
  1. 1Computer Vision and Pattern Recognition51% of their works
  2. 2Aerospace Engineering12% of their works
  3. 3Automotive Engineering12% of their works
  4. 4Artificial Intelligence6% of their works
  5. 5Environmental Engineering2% of their works
  6. 6Computer Graphics and Computer-Aided Design2% of their works

Research topics

Which keywords describe Markus Enzweiler's research?

The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Object Tracking, Visual Tracking, Image Recognition, Object Detection, Convolutional Networks and 3D Mapping.

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 19 words, with their numbers
  1. Deep Learning986 topics
  2. Convolutional Neural Networks552 topics
  3. Object Tracking281 topic
  4. Visual Tracking281 topic
  5. Image Recognition271 topic
  6. Object Detection271 topic
  7. Convolutional Networks252 topics
  8. 3D Mapping211 topic
  9. SLAM211 topic
  10. Autonomous Vehicles171 topic
  11. Depth Estimation171 topic
  12. Stereo Vision171 topic
  13. Trajectory Prediction171 topic
  14. Feature Matching121 topic
  15. Local Descriptors121 topic
  16. Action Recognition81 topic
  17. Pose Estimation81 topic
  18. Anomaly Detection61 topic
  19. Unsupervised61 topic

Where does Markus Enzweiler work?

Markus Enzweiler's main affiliation in the publication record is Daimler (Germany), Germany.

How many publications and citations does Markus Enzweiler have?

OpenAlex counts 71 works and 17,083 citations for Markus Enzweiler, an h-index of 23, ranking #240,387 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.

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