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Researcher · Mercedes-Benz (Germany) · Germany

Niklas Hanselmann

Niklas Hanselmann publishes mostly in Computer Vision and Pattern Recognition, Automotive Engineering and Artificial Intelligence, on topics such as Autonomous Vehicle Technology and Safety, Advanced Neural Network Applications and Video Surveillance and Tracking Methods.

ORCID 0000-0001-7387-4583 OpenAlex
World rank
#4,089,958
of 7,710,434 ranked researchers
Rank in Germany
#206,221
of 364,343
Works
17
Citations
156
Citations per work
9.2
h-index
4
i10-index 3Top 94% in Computer Vision and Pattern Recognition
Niklas Hanselmann

What does Niklas Hanselmann research?

Niklas Hanselmann's work is mostly in Computer Science (60%), Engineering (33%), Psychology (2%).

Physical Sciences: 16 works · 93.2% of their workComputer Science: 10 works · 60.5% of their workComputer Vision and Pattern Recognition: 9 works · 51.2% of their workArtificial Intelligence: 2 works · 9.3% of their workEngineering: 6 works · 32.7% of their workAutomotive Engineering: 4 works · 23.3% of their workAerospace Engineering: 1 works · 4.7% of their workBuilding and Construction: 1 works · 4.7% of their workEverything else: 1 works · 4.5% of their workSocial Sciences: 0 works · 2.3% of their workPsychology: 0 works · 2.3% of their workSocial Psychology: 0 works · 2.3% of their workTHEIR WORKNiklas Hanselmann17works
Physical Sciences93%Social Sciences2%

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 Science1060.5%
    2. Engineering632.7%
  2. Everything else14.5%
    1. Psychology02.3%
  1. 1Computer Vision and Pattern Recognition51% of their works
  2. 2Automotive Engineering23% of their works
  3. 3Artificial Intelligence9% of their works
  4. 4Building and Construction5% of their works
  5. 5Aerospace Engineering5% of their works
  6. 6Social Psychology2% of their works

Research topics

Which keywords describe Niklas Hanselmann's research?

The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Autonomous Vehicles, Trajectory Prediction, Image Recognition, Object Detection, Object Tracking and Visual Tracking.

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 Learning306 topics
  2. Convolutional Neural Networks153 topics
  3. Autonomous Vehicles101 topic
  4. Trajectory Prediction101 topic
  5. Image Recognition81 topic
  6. Object Detection81 topic
  7. Object Tracking51 topic
  8. Visual Tracking51 topic
  9. Pose Estimation42 topics
  10. Image Captioning31 topic
  11. Visual Question Answering31 topic
  12. 3D Mapping21 topic
  13. Action Recognition21 topic
  14. Domain Adaptation21 topic
  15. Face Recognition21 topic
  16. Facial Landmark Detection21 topic
  17. SLAM21 topic
  18. Spatiotemporal Features21 topic
  19. Transfer Learning21 topic

Where does Niklas Hanselmann work?

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

How many publications and citations does Niklas Hanselmann have?

OpenAlex counts 17 works and 156 citations for Niklas Hanselmann, an h-index of 4, ranking #4,089,958 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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