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Researcher · Simula Research Laboratory · Norway

Helge Spieker

Helge Spieker publishes mostly in Artificial Intelligence, Software and Computer Networks and Communications, on topics such as Adversarial Robustness in Machine Learning, Software Testing and Debugging Techniques and Explainable Artificial Intelligence (XAI).

ORCID 0000-0003-2494-4279 OpenAlex
World rank
#3,827,927
of 7,710,434 ranked researchers
Rank in Norway
#22,266
of 33,005
Works
109
Citations
519
Citations per work
4.8
h-index
8
i10-index 7Top 56% in Artificial Intelligence
Helge Spieker

What does Helge Spieker research?

Helge Spieker's work is mostly in Computer Science (64%), Engineering (6%).

Physical Sciences: 76 works · 70.1% of their workComputer Science: 70 works · 64.3% of their workArtificial Intelligence: 37 works · 33.7% of their workSoftware: 14 works · 12.7% of their workComputer Networks and Communications: 8 works · 6.9% of their workComputational Theory and Mathematics: 6 works · 5.8% of their workComputer Vision and Pattern Recognition: 6 works · 5.2% of their workEngineering: 6 works · 5.8% of their workIndustrial and Manufacturing Engineering: 6 works · 5.8% of their workEverything else: 33 works · 29.9% of their workTHEIR WORKHelge Spieker109works
Physical Sciences70%

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 Science7064.3%
    2. Engineering65.8%
  2. Everything else3329.9%
  1. 1Artificial Intelligence34% of their works
  2. 2Software13% of their works
  3. 3Computer Networks and Communications7% of their works
  4. 4Industrial and Manufacturing Engineering6% of their works
  5. 5Computational Theory and Mathematics6% of their works
  6. 6Computer Vision and Pattern Recognition5% of their works

Research topics

Which keywords describe Helge Spieker's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Adversarial Examples, Robustness, Automated Testing, Software Fault Localization, Interpretable Models and Machine Learning Interpretability.

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 Learning483 topics
  2. Neural Networks483 topics
  3. Adversarial Examples241 topic
  4. Robustness241 topic
  5. Automated Testing201 topic
  6. Software Fault Localization201 topic
  7. Interpretable Models171 topic
  8. Machine Learning Interpretability171 topic
  9. Model Checking151 topic
  10. Reinforcement Learning151 topic
  11. Robotics151 topic
  12. Symbolic Model Checker151 topic
  13. Architecture-Based Approach101 topic
  14. Software Reliability Modeling101 topic
  15. Constraint Optimization91 topic
  16. Distributed Algorithms91 topic
  17. Image Captioning91 topic
  18. Visual Question Answering91 topic

Where does Helge Spieker work?

Helge Spieker's main affiliation in the publication record is Simula Research Laboratory, Norway.

How many publications and citations does Helge Spieker have?

OpenAlex counts 109 works and 519 citations for Helge Spieker, an h-index of 8, ranking #3,827,927 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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