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Researcher · Daimler (Germany) · Germany

Peter Pinggera

Peter Pinggera publishes mostly in Computer Vision and Pattern Recognition, Aerospace Engineering and Automotive Engineering, on topics such as Advanced Vision and Imaging, Advanced Neural Network Applications and Robotics and Sensor-Based Localization.

ORCID 0000-0003-4478-0398 OpenAlex
World rank
#1,643,702
of 7,710,434 ranked researchers
Rank in Germany
#81,050
of 364,343
Works
16
Citations
513
Citations per work
32.1
h-index
8
i10-index 8Top 60% in Computer Vision and Pattern Recognition
Peter Pinggera

What does Peter Pinggera research?

Peter Pinggera's work is mostly in Computer Science (64%), Engineering (34%), Environmental Science (2%).

Physical Sciences: 16 works · 99.9% of their workComputer Science: 10 works · 63.8% of their workComputer Vision and Pattern Recognition: 10 works · 61.7% of their workArtificial Intelligence: 0 works · 2.1% of their workEngineering: 5 works · 34.0% of their workAerospace Engineering: 3 works · 19.1% of their workAutomotive Engineering: 2 works · 12.8% of their workMedia Technology: 0 works · 2.1% of their workEnvironmental Science: 0 works · 2.1% of their workEnvironmental Engineering: 0 works · 2.1% of their workTHEIR WORKPeter Pinggera16works
Physical Sciences100%

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 Science1063.8%
    2. Engineering534.0%
    3. Environmental Science02.1%
  1. 1Computer Vision and Pattern Recognition62% of their works
  2. 2Aerospace Engineering19% of their works
  3. 3Automotive Engineering13% of their works
  4. 4Environmental Engineering2% of their works
  5. 5Artificial Intelligence2% of their works
  6. 6Media Technology2% of their works

Research topics

Which keywords describe Peter Pinggera's research?

The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Depth Estimation, Stereo Vision, 3D Mapping, Image Recognition, Object Detection and SLAM.

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 18 words, with their numbers
  1. Deep Learning215 topics
  2. Convolutional Neural Networks122 topics
  3. Depth Estimation101 topic
  4. Stereo Vision101 topic
  5. 3D Mapping81 topic
  6. Image Recognition81 topic
  7. Object Detection81 topic
  8. SLAM81 topic
  9. Autonomous Vehicles61 topic
  10. Trajectory Prediction61 topic
  11. Object Tracking41 topic
  12. Visual Tracking41 topic
  13. Camera Calibration21 topic
  14. Contrast Enhancement21 topic
  15. Dehazing21 topic
  16. Structured Light21 topic
  17. Anomaly Detection11 topic
  18. Unsupervised11 topic

Where does Peter Pinggera work?

Peter Pinggera's main affiliation in the publication record is Daimler (Germany), Germany.

How many publications and citations does Peter Pinggera have?

OpenAlex counts 16 works and 513 citations for Peter Pinggera, an h-index of 8, ranking #1,643,702 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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