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Researcher · Mercedes-Benz (Germany) · Germany

Stefanie Walz

Stefanie Walz publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology, on topics such as Advanced Vision and Imaging, Image Processing Techniques and Applications and Autonomous Vehicle Technology and Safety.

ORCID 0009-0002-4819-3350 OpenAlex
World rank
#3,746,845
of 7,710,434 ranked researchers
Rank in Germany
#187,805
of 364,343
Works
27
Citations
86
Citations per work
3.2
h-index
5
i10-index 3Top 87% in Computer Vision and Pattern Recognition
Stefanie Walz

What does Stefanie Walz research?

Stefanie Walz's work is mostly in Computer Science (52%), Engineering (22%), Physics and Astronomy (7%).

Physical Sciences: 22 works · 80.7% of their workComputer Science: 14 works · 52.1% of their workComputer Vision and Pattern Recognition: 11 works · 41.1% of their workArtificial Intelligence: 3 works · 11.0% of their workEngineering: 6 works · 21.8% of their workMedia Technology: 2 works · 8.2% of their workAerospace Engineering: 2 works · 6.8% of their workAutomotive Engineering: 2 works · 6.8% of their workPhysics and Astronomy: 2 works · 6.8% of their workInstrumentation: 2 works · 6.8% of their workEverything else: 5 works · 19.3% of their workTHEIR WORKStefanie Walz27works
Physical Sciences81%

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 Science1452.1%
    2. Engineering621.8%
    3. Physics and Astronomy26.8%
  2. Everything else519.3%
  1. 1Computer Vision and Pattern Recognition41% of their works
  2. 2Artificial Intelligence11% of their works
  3. 3Media Technology8% of their works
  4. 4Instrumentation7% of their works
  5. 5Automotive Engineering7% of their works
  6. 6Aerospace Engineering7% of their works

Research topics

Which keywords describe Stefanie Walz's research?

The keywords of their largest research topics: Depth Estimation, Convolutional Networks, Unsupervised Learning, Neural Networks, Deep Learning, Optical Flow, Stereo Vision and Generative Adversarial 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 22 words, with their numbers
  1. Depth Estimation192 topics
  2. Convolutional Networks172 topics
  3. Unsupervised Learning162 topics
  4. Neural Networks154 topics
  5. Deep Learning144 topics
  6. Optical Flow131 topic
  7. Stereo Vision131 topic
  8. Generative Adversarial Networks72 topics
  9. Autofocusing61 topic
  10. Microscopy61 topic
  11. Autonomous Vehicles51 topic
  12. Laser Ranging51 topic
  13. Time-of-Flight51 topic
  14. Trajectory Prediction51 topic
  15. Image41 topic
  16. Super-Resolution41 topic
  17. Camera Calibration31 topic
  18. Image Inpainting31 topic
  19. Image Synthesis31 topic
  20. Structured Light31 topic
  21. Backpropagation Learning21 topic
  22. Self-Organizing Maps21 topic

Where does Stefanie Walz work?

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

How many publications and citations does Stefanie Walz have?

OpenAlex counts 27 works and 86 citations for Stefanie Walz, an h-index of 5, ranking #3,746,845 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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