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Researcher · Fraunhofer Institute for Experimental Software Engineering · Germany

Lisa Jöckel

Lisa Jöckel publishes mostly in Artificial Intelligence, Safety, Risk, Reliability and Quality and Software, on topics such as Adversarial Robustness in Machine Learning, Anomaly Detection Techniques and Applications and Software Reliability and Analysis Research.

OpenAlex
World rank
#6,415,201
of 7,710,434 ranked researchers
Rank in Germany
#323,741
of 364,343
Works
28
Citations
117
Citations per work
4.2
h-index
7
i10-index 4Top 65% in Artificial Intelligence
Lisa Jöckel

What does Lisa Jöckel research?

Lisa Jöckel's work is mostly in Computer Science (37%), Engineering (18%), Decision Sciences (7%).

Physical Sciences: 15 works · 55.3% of their workComputer Science: 10 works · 36.8% of their workArtificial Intelligence: 8 works · 28.9% of their workSoftware: 2 works · 7.9% of their workEngineering: 5 works · 18.5% of their workSafety, Risk, Reliability and Quality: 2 works · 7.9% of their workAutomotive Engineering: 1 works · 5.3% of their workComputational Mechanics: 1 works · 5.3% of their workEverything else: 11 works · 38.1% of their workSocial Sciences: 2 works · 6.6% of their workDecision Sciences: 2 works · 6.6% of their workStatistics, Probability and Uncertainty: 2 works · 6.6% of their workTHEIR WORKLisa Jöckel28works
Physical Sciences55%Social Sciences7%

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 Science1036.8%
    2. Engineering518.5%
  2. Everything else1138.1%
    1. Decision Sciences26.6%
  1. 1Artificial Intelligence29% of their works
  2. 2Safety, Risk, Reliability and Quality8% of their works
  3. 3Software8% of their works
  4. 4Statistics, Probability and Uncertainty7% of their works
  5. 5Computational Mechanics5% of their works
  6. 6Automotive Engineering5% of their works

Research topics

Which keywords describe Lisa Jöckel's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Machine Learning, Adversarial Examples, Robustness, Anomaly Detection, Unsupervised and Architecture-Based Approach.

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 19 words, with their numbers
  1. Deep Learning203 topics
  2. Neural Networks162 topics
  3. Machine Learning132 topics
  4. Adversarial Examples91 topic
  5. Robustness91 topic
  6. Anomaly Detection71 topic
  7. Unsupervised71 topic
  8. Architecture-Based Approach61 topic
  9. Assurance Cases61 topic
  10. Safety Assurance61 topic
  11. Software Reliability Modeling61 topic
  12. Bayesian Networks51 topic
  13. Fault Tree Analysis51 topic
  14. Autonomous Vehicles41 topic
  15. Interpretable Models41 topic
  16. Machine Learning Interpretability41 topic
  17. Trajectory Prediction41 topic
  18. Drop Impact31 topic
  19. Surface Tension31 topic

Where does Lisa Jöckel work?

Lisa Jöckel's main affiliation in the publication record is Fraunhofer Institute for Experimental Software Engineering, Germany.

How many publications and citations does Lisa Jöckel have?

OpenAlex counts 28 works and 117 citations for Lisa Jöckel, an h-index of 7, ranking #6,415,201 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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