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Researcher · Robert Bosch (Germany) · Germany

Marcel Hallgarten

Marcel Hallgarten publishes mostly in Automotive Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence, on topics such as Autonomous Vehicle Technology and Safety, Vehicle Dynamics and Control Systems and Multimodal Machine Learning Applications.

ORCID 0009-0003-4652-0466 OpenAlex
World rank
#2,197,649
of 7,710,434 ranked researchers
Rank in Germany
#108,404
of 364,343
Works
18
Citations
190
Citations per work
10.6
h-index
6
i10-index 6Top 70% in Automotive Engineering
Marcel Hallgarten

What does Marcel Hallgarten research?

Marcel Hallgarten's work is mostly in Engineering (53%), Computer Science (31%), Psychology (6%).

Physical Sciences: 15 works · 83.7% of their workEngineering: 10 works · 53.1% of their workAutomotive Engineering: 8 works · 42.9% of their workBuilding and Construction: 1 works · 6.1% of their workControl and Systems Engineering: 1 works · 4.1% of their workComputer Science: 6 works · 30.6% of their workComputer Vision and Pattern Recognition: 3 works · 18.4% of their workArtificial Intelligence: 2 works · 12.2% of their workEverything else: 2 works · 10.2% of their workSocial Sciences: 1 works · 6.1% of their workPsychology: 1 works · 6.1% of their workSocial Psychology: 1 works · 6.1% of their workTHEIR WORKMarcel Hallgarten18works
Physical Sciences84%Social Sciences6%

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. Engineering1053.1%
    2. Computer Science630.6%
  2. Everything else210.2%
    1. Psychology16.1%
  1. 1Automotive Engineering43% of their works
  2. 2Computer Vision and Pattern Recognition18% of their works
  3. 3Artificial Intelligence12% of their works
  4. 4Building and Construction6% of their works
  5. 5Social Psychology6% of their works
  6. 6Control and Systems Engineering4% of their works

Research topics

Which keywords describe Marcel Hallgarten's research?

The keywords of their largest research topics: Deep Learning, Autonomous Vehicles, Collision Avoidance, Machine Learning, Driver Assistance Systems, Trajectory Prediction, Neural Networks and Control Systems.

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 21 words, with their numbers
  1. Deep Learning255 topics
  2. Autonomous Vehicles244 topics
  3. Collision Avoidance172 topics
  4. Machine Learning172 topics
  5. Driver Assistance Systems151 topic
  6. Trajectory Prediction151 topic
  7. Neural Networks83 topics
  8. Control Systems41 topic
  9. Vehicle Dynamics41 topic
  10. Automation31 topic
  11. Image Captioning31 topic
  12. Short-Term Forecasting31 topic
  13. Traffic Flow31 topic
  14. Trust31 topic
  15. Visual Question Answering31 topic
  16. Adversarial Examples21 topic
  17. Convolutional Neural Networks21 topic
  18. Image Recognition21 topic
  19. Optimal Motion Planning21 topic
  20. Robustness21 topic
  21. Sampling-Based Algorithms21 topic

Where does Marcel Hallgarten work?

Marcel Hallgarten's main affiliation in the publication record is Robert Bosch (Germany), Germany.

How many publications and citations does Marcel Hallgarten have?

OpenAlex counts 18 works and 190 citations for Marcel Hallgarten, an h-index of 6, ranking #2,197,649 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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