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Researcher · DNV (Norway) · Norway

Christian Agrell

Christian Agrell publishes mostly in Statistics, Probability and Uncertainty, Artificial Intelligence and Control and Systems Engineering, on topics such as Probabilistic and Robust Engineering Design, Advanced Multi-Objective Optimization Algorithms and Fault Detection and Control Systems.

ORCID 0000-0002-7390-6474 OpenAlex
World rank
#6,235,147
of 7,710,434 ranked researchers
Rank in Norway
#30,803
of 33,005
Works
33
Citations
136
Citations per work
4.1
h-index
7
i10-index 4Top 66% in Statistics, Probability and Uncertainty
Christian Agrell

What does Christian Agrell research?

Christian Agrell's work is mostly in Computer Science (25%), Decision Sciences (24%), Engineering (21%).

Physical Sciences: 15 works · 45.5% of their workComputer Science: 8 works · 24.5% of their workArtificial Intelligence: 5 works · 14.0% of their workComputational Theory and Mathematics: 3 works · 10.5% of their workEngineering: 7 works · 21.0% of their workCivil and Structural Engineering: 3 works · 10.5% of their workControl and Systems Engineering: 3 works · 10.5% of their workEverything else: 10 works · 30.1% of their workSocial Sciences: 8 works · 24.4% of their workDecision Sciences: 8 works · 24.4% of their workStatistics, Probability and Uncertainty: 6 works · 18.6% of their workManagement Science and Operations Research: 2 works · 5.8% of their workTHEIR WORKChristian Agrell33works
Physical Sciences46%Social Sciences24%

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 Science824.5%
    2. Engineering721.0%
  2. Everything else1030.1%
    1. Decision Sciences824.4%
  1. 1Statistics, Probability and Uncertainty19% of their works
  2. 2Artificial Intelligence14% of their works
  3. 3Control and Systems Engineering10% of their works
  4. 4Computational Theory and Mathematics10% of their works
  5. 5Civil and Structural Engineering10% of their works
  6. 6Management Science and Operations Research6% of their works

Research topics

Which keywords describe Christian Agrell's research?

The keywords of their largest research topics: Sensitivity Analysis, Uncertainty Quantification, Machine Learning, Evolutionary Algorithms, Multiobjective Optimization, Fault Detection, Process Monitoring and Vibration-based Damage Identification.

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 17 words, with their numbers
  1. Sensitivity Analysis121 topic
  2. Uncertainty Quantification121 topic
  3. Machine Learning102 topics
  4. Evolutionary Algorithms81 topic
  5. Multiobjective Optimization81 topic
  6. Fault Detection71 topic
  7. Process Monitoring71 topic
  8. Vibration-based Damage Identification51 topic
  9. Wireless Sensors51 topic
  10. Bayesian Networks41 topic
  11. Fault Tree Analysis41 topic
  12. Adversarial Examples31 topic
  13. Corrosion31 topic
  14. Deep Learning31 topic
  15. Experimental Design31 topic
  16. Optimization31 topic
  17. Pipeline31 topic

Where does Christian Agrell work?

Christian Agrell's main affiliation in the publication record is DNV (Norway), Norway.

How many publications and citations does Christian Agrell have?

OpenAlex counts 33 works and 136 citations for Christian Agrell, an h-index of 7, ranking #6,235,147 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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