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Researcher · Robert Bosch (Germany) · Germany

Christoph Schorn

Christoph Schorn publishes mostly in Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, on topics such as Adversarial Robustness in Machine Learning, Advanced Neural Network Applications and Radiation Effects in Electronics.

OpenAlex
World rank
#3,072,963
of 7,710,434 ranked researchers
Rank in Germany
#152,898
of 364,343
Works
18
Citations
302
Citations per work
16.8
h-index
7
i10-index 6Top 65% in Artificial Intelligence
Christoph Schorn

What does Christoph Schorn research?

Christoph Schorn's work is mostly in Computer Science (61%), Engineering (23%).

Physical Sciences: 15 works · 84.3% of their workComputer Science: 11 works · 60.8% of their workArtificial Intelligence: 6 works · 31.4% of their workComputer Vision and Pattern Recognition: 3 works · 17.6% of their workHardware and Architecture: 1 works · 5.9% of their workSignal Processing: 1 works · 5.9% of their workEngineering: 4 works · 23.5% of their workElectrical and Electronic Engineering: 3 works · 17.6% of their workBiomedical Engineering: 1 works · 5.9% of their workEverything else: 3 works · 15.7% of their workTHEIR WORKChristoph Schorn18works
Physical Sciences84%

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 Science1160.8%
    2. Engineering423.5%
  2. Everything else315.7%
  1. 1Artificial Intelligence31% of their works
  2. 2Electrical and Electronic Engineering18% of their works
  3. 3Computer Vision and Pattern Recognition18% of their works
  4. 4Signal Processing6% of their works
  5. 5Biomedical Engineering6% of their works
  6. 6Hardware and Architecture6% of their works

Research topics

Which keywords describe Christoph Schorn's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Adversarial Examples, Robustness, Convolutional Neural Networks, Image Recognition, Radiation Effects and Soft Errors.

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 18 words, with their numbers
  1. Deep Learning223 topics
  2. Neural Networks163 topics
  3. Adversarial Examples101 topic
  4. Robustness101 topic
  5. Convolutional Neural Networks81 topic
  6. Image Recognition81 topic
  7. Radiation Effects71 topic
  8. Soft Errors71 topic
  9. Anomaly Detection41 topic
  10. Unsupervised41 topic
  11. Hard Real-Time Systems21 topic
  12. Memristor21 topic
  13. Neuromorphic Computing21 topic
  14. Scheduling Algorithms21 topic
  15. Dog Domestication11 topic
  16. Genomic Analysis11 topic
  17. Interpretable Models11 topic
  18. Machine Learning Interpretability11 topic

Where does Christoph Schorn work?

Christoph Schorn's main affiliation in the publication record is Robert Bosch (Germany), Germany.

How many publications and citations does Christoph Schorn have?

OpenAlex counts 18 works and 302 citations for Christoph Schorn, an h-index of 7, ranking #3,072,963 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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