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Researcher · University of Wuppertal · Germany

Kira Maag

Kira Maag publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Automotive Engineering, on topics such as Anomaly Detection Techniques and Applications, Advanced Neural Network Applications and Adversarial Robustness in Machine Learning.

ORCID 0000-0003-1767-0476 OpenAlex
World rank
#5,446,582
of 7,710,434 ranked researchers
Rank in Germany
#281,498
of 364,343
Works
44
Citations
121
Citations per work
2.8
h-index
6
i10-index 5Top 78% in Computer Vision and Pattern Recognition
Kira Maag

What does Kira Maag research?

Kira Maag's work is mostly in Computer Science (73%), Engineering (16%).

Physical Sciences: 39 works · 89.3% of their workComputer Science: 32 works · 72.8% of their workComputer Vision and Pattern Recognition: 18 works · 39.8% of their workArtificial Intelligence: 14 works · 31.1% of their workSignal Processing: 1 works · 1.9% of their workEngineering: 7 works · 16.5% of their workAutomotive Engineering: 3 works · 7.8% of their workControl and Systems Engineering: 3 works · 6.8% of their workIndustrial and Manufacturing Engineering: 1 works · 1.9% of their workEverything else: 5 works · 10.7% of their workTHEIR WORKKira Maag44works
Physical Sciences89%

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 Science3272.8%
    2. Engineering716.5%
  2. Everything else510.7%
  1. 1Computer Vision and Pattern Recognition40% of their works
  2. 2Artificial Intelligence31% of their works
  3. 3Automotive Engineering8% of their works
  4. 4Control and Systems Engineering7% of their works
  5. 5Industrial and Manufacturing Engineering2% of their works
  6. 6Signal Processing2% of their works

Research topics

Which keywords describe Kira Maag's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Machine Learning, Convolutional Neural Networks, Anomaly Detection, Image Recognition, Object Detection and Unsupervised.

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.

All 22 words, with their numbers
  1. Deep Learning596 topics
  2. Neural Networks323 topics
  3. Machine Learning233 topics
  4. Convolutional Neural Networks202 topics
  5. Anomaly Detection131 topic
  6. Image Recognition131 topic
  7. Object Detection131 topic
  8. Unsupervised131 topic
  9. Adversarial Examples121 topic
  10. Robustness121 topic
  11. Representation Learning102 topics
  12. Unsupervised Learning102 topics
  13. Autonomous Vehicles71 topic
  14. Generative Adversarial Networks71 topic
  15. Image Synthesis71 topic
  16. Object Tracking71 topic
  17. Trajectory Prediction71 topic
  18. Visual Tracking71 topic
  19. Fault Detection41 topic
  20. Process Monitoring41 topic
  21. Domain Adaptation31 topic
  22. Transfer Learning31 topic

Where does Kira Maag work?

Kira Maag's main affiliation in the publication record is University of Wuppertal, Germany.

How many publications and citations does Kira Maag have?

OpenAlex counts 44 works and 121 citations for Kira Maag, an h-index of 6, ranking #5,446,582 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised 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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