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Researcher · Robert Bosch (Germany) · Germany

Lydia Gauerhof

Lydia Gauerhof publishes mostly in Artificial Intelligence, Safety, Risk, Reliability and Quality and Automotive Engineering, on topics such as Adversarial Robustness in Machine Learning, Safety Systems Engineering in Autonomy and Anomaly Detection Techniques and Applications.

ORCID 0000-0002-3504-0040 OpenAlex
World rank
#3,180,849
of 7,710,434 ranked researchers
Rank in Germany
#158,338
of 364,343
Works
19
Citations
347
Citations per work
18.3
h-index
9
i10-index 9Top 49% in Artificial Intelligence
Lydia Gauerhof

What does Lydia Gauerhof research?

Lydia Gauerhof's work is mostly in Computer Science (59%), Engineering (26%).

Physical Sciences: 16 works · 85.2% of their workComputer Science: 11 works · 59.3% of their workArtificial Intelligence: 7 works · 37.0% of their workSoftware: 2 works · 9.3% of their workComputer Vision and Pattern Recognition: 1 works · 7.4% of their workInformation Systems: 1 works · 5.6% of their workEngineering: 5 works · 25.9% of their workSafety, Risk, Reliability and Quality: 3 works · 14.8% of their workAutomotive Engineering: 2 works · 11.1% of their workEverything else: 3 works · 14.8% of their workTHEIR WORKLydia Gauerhof19works
Physical Sciences85%

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 Science1159.3%
    2. Engineering525.9%
  2. Everything else314.8%
  1. 1Artificial Intelligence37% of their works
  2. 2Safety, Risk, Reliability and Quality15% of their works
  3. 3Automotive Engineering11% of their works
  4. 4Software9% of their works
  5. 5Computer Vision and Pattern Recognition7% of their works
  6. 6Information Systems6% of their works

Research topics

Which keywords describe Lydia Gauerhof's research?

The keywords of their largest research topics: Deep Learning, Machine Learning, Neural Networks, Adversarial Examples, Robustness, Model-Based Development, Assurance Cases and Safety Assurance.

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 20 words, with their numbers
  1. Deep Learning224 topics
  2. Machine Learning152 topics
  3. Neural Networks152 topics
  4. Adversarial Examples101 topic
  5. Robustness101 topic
  6. Model-Based Development92 topics
  7. Assurance Cases71 topic
  8. Safety Assurance71 topic
  9. Anomaly Detection51 topic
  10. Autonomous Vehicles51 topic
  11. Trajectory Prediction51 topic
  12. Unsupervised51 topic
  13. Architecture-Based Approach31 topic
  14. Software Reliability Modeling31 topic
  15. Autonomic Computing21 topic
  16. Convolutional Neural Networks21 topic
  17. Hyperparameter Optimization21 topic
  18. Image Recognition21 topic
  19. Noisy Labels21 topic
  20. Self-Adaptive Systems21 topic

Where does Lydia Gauerhof work?

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

How many publications and citations does Lydia Gauerhof have?

OpenAlex counts 19 works and 347 citations for Lydia Gauerhof, an h-index of 9, ranking #3,180,849 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.

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