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Researcher · Daimler (Germany) · Germany

Markus Hahn

Markus Hahn publishes mostly in Aerospace Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence, on topics such as Autonomous Vehicle Technology and Safety, Target Tracking and Data Fusion in Sensor Networks and Robotics and Sensor-Based Localization.

OpenAlex
World rank
#550,521
of 7,710,434 ranked researchers
Rank in Germany
#27,130
of 364,343
Works
62
Citations
1.7k
Citations per work
28.1
h-index
21
i10-index 34Top 5.4% in Aerospace Engineering
Markus Hahn

What does Markus Hahn research?

Markus Hahn's work is mostly in Engineering (27%), Computer Science (25%), Economics, Econometrics and Finance (5%).

Physical Sciences: 33 works · 52.6% of their workEngineering: 17 works · 27.2% of their workAerospace Engineering: 12 works · 19.7% of their workAutomotive Engineering: 5 works · 7.5% of their workComputer Science: 16 works · 25.4% of their workComputer Vision and Pattern Recognition: 8 works · 13.3% of their workArtificial Intelligence: 8 works · 12.1% of their workEverything else: 24 works · 38.2% of their workSocial Sciences: 3 works · 5.2% of their workEconomics, Econometrics and Finance: 3 works · 5.2% of their workFinance: 3 works · 5.2% of their workHealth Sciences: 2 works · 4.0% of their workMedicine: 2 works · 4.0% of their workRadiology, Nuclear Medicine and Imaging: 2 works · 4.0% of their workTHEIR WORKMarkus Hahn62works
Physical Sciences53%Health Sciences4%Social Sciences5%

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. Engineering1727.2%
    2. Computer Science1625.4%
  2. Everything else2438.2%
    1. Economics, Econometrics and Finance35.2%
    1. Medicine24.0%
  1. 1Aerospace Engineering20% of their works
  2. 2Computer Vision and Pattern Recognition13% of their works
  3. 3Artificial Intelligence12% of their works
  4. 4Automotive Engineering8% of their works
  5. 5Finance5% of their works
  6. 6Radiology, Nuclear Medicine and Imaging4% of their works

Research topics

Which keywords describe Markus Hahn's research?

The keywords of their largest research topics: Deep Learning, Sensor Fusion, Signal Processing, Convolutional Neural Networks, Autonomous Vehicles, Trajectory Prediction, 3D Mapping and Micro-Doppler Effect.

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 20 words, with their numbers
  1. Deep Learning354 topics
  2. Sensor Fusion232 topics
  3. Signal Processing202 topics
  4. Convolutional Neural Networks162 topics
  5. Autonomous Vehicles131 topic
  6. Trajectory Prediction131 topic
  7. 3D Mapping101 topic
  8. MIMO Radar101 topic
  9. Micro-Doppler Effect101 topic
  10. Nonlinear Estimation101 topic
  11. Particle Filters101 topic
  12. SLAM101 topic
  13. Synthetic Aperture Radar101 topic
  14. Waveform Design101 topic
  15. Action Recognition61 topic
  16. Object Tracking61 topic
  17. Pose Estimation61 topic
  18. Vibration-based Damage Identification61 topic
  19. Visual Tracking61 topic
  20. Wireless Sensors61 topic

Where does Markus Hahn work?

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

How many publications and citations does Markus Hahn have?

OpenAlex counts 62 works and 1,742 citations for Markus Hahn, an h-index of 21, ranking #550,521 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.

Other researchers named Markus Hahn

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