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Researcher · Technische Hochschule Mannheim · Germany

Laurenz Reichardt

Laurenz Reichardt publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering, on topics such as Advanced Neural Network Applications, Domain Adaptation and Few-Shot Learning and Neural Networks and Applications.

OpenAlex
World rank
#3,817,857
of 7,710,434 ranked researchers
Rank in Germany
#191,508
of 364,343
Works
17
Citations
69
Citations per work
4.1
h-index
5
i10-index 2Top 87% in Computer Vision and Pattern Recognition
Laurenz Reichardt

What does Laurenz Reichardt research?

Laurenz Reichardt's work is mostly in Computer Science (59%), Engineering (22%).

Physical Sciences: 14 works · 80.3% of their workComputer Science: 10 works · 58.7% of their workComputer Vision and Pattern Recognition: 6 works · 34.8% of their workArtificial Intelligence: 4 works · 23.9% of their workEngineering: 4 works · 21.6% of their workAerospace Engineering: 1 works · 8.7% of their workComputational Mechanics: 1 works · 4.3% of their workControl and Systems Engineering: 1 works · 4.3% of their workElectrical and Electronic Engineering: 1 works · 4.3% of their workEverything else: 3 works · 19.7% of their workTHEIR WORKLaurenz Reichardt17works
Physical Sciences80%

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 Science1058.7%
    2. Engineering421.6%
  2. Everything else319.7%
  1. 1Computer Vision and Pattern Recognition35% of their works
  2. 2Artificial Intelligence24% of their works
  3. 3Aerospace Engineering9% of their works
  4. 4Computational Mechanics4% of their works
  5. 5Control and Systems Engineering4% of their works
  6. 6Electrical and Electronic Engineering4% of their works

Research topics

Which keywords describe Laurenz Reichardt's research?

The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Image Recognition, Object Detection, Meta-Learning, Neural Networks, Domain Adaptation and Transfer Learning.

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 Learning186 topics
  2. Convolutional Neural Networks102 topics
  3. Image Recognition81 topic
  4. Object Detection81 topic
  5. Meta-Learning62 topics
  6. Neural Networks63 topics
  7. Domain Adaptation41 topic
  8. Transfer Learning41 topic
  9. Anomaly Detection21 topic
  10. Backpropagation Learning21 topic
  11. Face Recognition21 topic
  12. Facial Landmark Detection21 topic
  13. Hyperparameter Optimization21 topic
  14. Image Captioning21 topic
  15. Image Segmentation21 topic
  16. Medical Image Analysis21 topic
  17. Noisy Labels21 topic
  18. Self-Organizing Maps21 topic
  19. Unsupervised21 topic
  20. Visual Question Answering21 topic

Where does Laurenz Reichardt work?

Laurenz Reichardt's main affiliation in the publication record is Technische Hochschule Mannheim, Germany.

How many publications and citations does Laurenz Reichardt have?

OpenAlex counts 17 works and 69 citations for Laurenz Reichardt, an h-index of 5, ranking #3,817,857 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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