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Researcher · University of Kassel · Germany

Bernhard Sick

Bernhard Sick publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, on topics such as Anomaly Detection Techniques and Applications, Autonomous Vehicle Technology and Safety and Neural Networks and Applications.

ORCID 0000-0001-9467-656X OpenAlex
World rank
#1,794,338
of 7,710,434 ranked researchers
Rank in Germany
#88,579
of 364,343
Works
421
Citations
5k
Citations per work
11.9
h-index
32
i10-index 115Top 4% in Artificial Intelligence
Bernhard Sick

What does Bernhard Sick research?

Bernhard Sick's work is mostly in Computer Science (46%), Engineering (12%).

Physical Sciences: 244 works · 57.9% of their workComputer Science: 193 works · 45.9% of their workArtificial Intelligence: 120 works · 28.4% of their workComputer Vision and Pattern Recognition: 35 works · 8.3% of their workSignal Processing: 21 works · 4.9% of their workComputer Networks and Communications: 18 works · 4.3% of their workEngineering: 51 works · 12.0% of their workElectrical and Electronic Engineering: 30 works · 7.1% of their workAutomotive Engineering: 21 works · 4.9% of their workEverything else: 177 works · 42.1% of their workTHEIR WORKBernhard Sick421works
Physical Sciences58%

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 Science19345.9%
    2. Engineering5112.0%
  2. Everything else17742.1%
  1. 1Artificial Intelligence28% of their works
  2. 2Computer Vision and Pattern Recognition8% of their works
  3. 3Electrical and Electronic Engineering7% of their works
  4. 4Signal Processing5% of their works
  5. 5Automotive Engineering5% of their works
  6. 6Computer Networks and Communications4% of their works

Research topics

Which keywords describe Bernhard Sick's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Machine Learning, Time Series, Anomaly Detection, Outlier Detection, Unsupervised and Autonomous Vehicles.

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 21 words, with their numbers
  1. Deep Learning2737 topics
  2. Neural Networks1313 topics
  3. Machine Learning1073 topics
  4. Time Series962 topics
  5. Anomaly Detection852 topics
  6. Outlier Detection611 topic
  7. Unsupervised611 topic
  8. Autonomous Vehicles471 topic
  9. Trajectory Prediction471 topic
  10. Backpropagation Learning381 topic
  11. Self-Organizing Maps381 topic
  12. Active Learning361 topic
  13. Semi-Supervised Learning361 topic
  14. Clustering351 topic
  15. Dynamic Time Warping351 topic
  16. Electricity Price Forecasting321 topic
  17. Hyperparameter Optimization321 topic
  18. Load Forecasting321 topic
  19. Noisy Labels321 topic
  20. Intrusion Detection241 topic
  21. Network Security241 topic

Where does Bernhard Sick work?

Bernhard Sick's main affiliation in the publication record is University of Kassel, Germany.

How many publications and citations does Bernhard Sick have?

OpenAlex counts 421 works and 4,989 citations for Bernhard Sick, an h-index of 32, ranking #1,794,338 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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