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Researcher · Daimler (Germany) · Germany

Magdalena Szczot

Magdalena Szczot publishes mostly in Computer Vision and Pattern Recognition, Automotive Engineering and Artificial Intelligence, on topics such as Video Surveillance and Tracking Methods, Autonomous Vehicle Technology and Safety and Advanced Vision and Imaging.

OpenAlex
World rank
#1,788,792
of 7,710,434 ranked researchers
Rank in Germany
#88,314
of 364,343
Works
21
Citations
519
Citations per work
24.7
h-index
9
i10-index 9Top 52% in Computer Vision and Pattern Recognition
Magdalena Szczot

What does Magdalena Szczot research?

Magdalena Szczot's work is mostly in Computer Science (42%), Engineering (20%), Medicine (10%).

Physical Sciences: 13 works · 61.7% of their workComputer Science: 9 works · 41.7% of their workComputer Vision and Pattern Recognition: 6 works · 30.0% of their workArtificial Intelligence: 2 works · 11.7% of their workEngineering: 4 works · 20.0% of their workAutomotive Engineering: 3 works · 15.0% of their workAerospace Engineering: 1 works · 5.0% of their workEverything else: 6 works · 28.3% of their workHealth Sciences: 2 works · 10.0% of their workMedicine: 2 works · 10.0% of their workCritical Care and Intensive Care Medicine: 1 works · 5.0% of their workEpidemiology: 1 works · 5.0% of their workTHEIR WORKMagdalena Szczot21works
Physical Sciences62%Health Sciences10%

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 Science941.7%
    2. Engineering420.0%
  2. Everything else628.3%
    1. Medicine210.0%
  1. 1Computer Vision and Pattern Recognition30% of their works
  2. 2Automotive Engineering15% of their works
  3. 3Artificial Intelligence12% of their works
  4. 4Epidemiology5% of their works
  5. 5Critical Care and Intensive Care Medicine5% of their works
  6. 6Aerospace Engineering5% of their works

Research topics

Which keywords describe Magdalena Szczot's research?

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

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 Learning225 topics
  2. Convolutional Neural Networks102 topics
  3. Sensor Fusion102 topics
  4. Autonomous Vehicles81 topic
  5. Object Tracking81 topic
  6. Trajectory Prediction81 topic
  7. Visual Tracking81 topic
  8. Convolutional Networks62 topics
  9. Depth Estimation41 topic
  10. Stereo Vision41 topic
  11. 3D Mapping31 topic
  12. SLAM31 topic
  13. Action Recognition21 topic
  14. Anomaly Detection21 topic
  15. Image Recognition21 topic
  16. Nonlinear Estimation21 topic
  17. Object Detection21 topic
  18. Particle Filters21 topic
  19. Pose Estimation21 topic
  20. Unsupervised21 topic

Where does Magdalena Szczot work?

Magdalena Szczot's main affiliation in the publication record is Daimler (Germany), Germany.

How many publications and citations does Magdalena Szczot have?

OpenAlex counts 21 works and 519 citations for Magdalena Szczot, an h-index of 9, ranking #1,788,792 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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