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Researcher · Fortiss · Germany

Frederik Diehl

Frederik Diehl publishes mostly in Artificial Intelligence, Automotive Engineering and Computer Vision and Pattern Recognition, on topics such as Adversarial Robustness in Machine Learning, Autonomous Vehicle Technology and Safety and Anomaly Detection Techniques and Applications.

OpenAlex
World rank
#2,619,785
of 7,710,434 ranked researchers
Rank in Germany
#129,884
of 364,343
Works
19
Citations
516
Citations per work
27.2
h-index
8
i10-index 8Top 56% in Artificial Intelligence
Frederik Diehl

What does Frederik Diehl research?

Frederik Diehl's work is mostly in Computer Science (56%), Engineering (25%).

Physical Sciences: 16 works · 81.7% of their workComputer Science: 11 works · 56.3% of their workArtificial Intelligence: 8 works · 43.6% of their workComputer Vision and Pattern Recognition: 2 works · 12.7% of their workEngineering: 5 works · 25.4% of their workAutomotive Engineering: 2 works · 12.7% of their workBuilding and Construction: 1 works · 5.5% of their workBiomedical Engineering: 1 works · 3.6% of their workControl and Systems Engineering: 1 works · 3.6% of their workEverything else: 3 works · 18.3% of their workTHEIR WORKFrederik Diehl19works
Physical Sciences82%

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 Science1156.3%
    2. Engineering525.4%
  2. Everything else318.3%
  1. 1Artificial Intelligence44% of their works
  2. 2Automotive Engineering13% of their works
  3. 3Computer Vision and Pattern Recognition13% of their works
  4. 4Building and Construction6% of their works
  5. 5Biomedical Engineering4% of their works
  6. 6Control and Systems Engineering4% of their works

Research topics

Which keywords describe Frederik Diehl's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Machine Learning, Adversarial Examples, Robustness, Autonomous Vehicles, Trajectory Prediction and Anomaly Detection.

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 Learning296 topics
  2. Neural Networks194 topics
  3. Machine Learning162 topics
  4. Adversarial Examples91 topic
  5. Robustness91 topic
  6. Autonomous Vehicles71 topic
  7. Trajectory Prediction71 topic
  8. Anomaly Detection51 topic
  9. Graph Convolutional Networks52 topics
  10. Representation Learning52 topics
  11. Semi-Supervised Learning52 topics
  12. Unsupervised51 topic
  13. Convolutional Neural Networks31 topic
  14. Domain Adaptation31 topic
  15. Image Recognition31 topic
  16. Short-Term Forecasting31 topic
  17. Traffic Flow31 topic
  18. Transfer Learning31 topic
  19. Graph Neural Networks21 topic
  20. Knowledge Graph Embedding21 topic
  21. Machine Translation21 topic
  22. Word Representation21 topic

Where does Frederik Diehl work?

Frederik Diehl's main affiliation in the publication record is Fortiss, Germany.

How many publications and citations does Frederik Diehl have?

OpenAlex counts 19 works and 516 citations for Frederik Diehl, an h-index of 8, ranking #2,619,785 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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