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Researcher · Semcon (Sweden) · Sweden

Jens Henriksson

Jens Henriksson publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Automotive Engineering, on topics such as Adversarial Robustness in Machine Learning, Anomaly Detection Techniques and Applications and Advanced Neural Network Applications.

OpenAlex
World rank
#3,654,400
of 7,710,434 ranked researchers
Rank in Sweden
#45,245
of 71,437
Works
23
Citations
170
Citations per work
7.4
h-index
7
i10-index 6Top 65% in Artificial Intelligence
Jens Henriksson

What does Jens Henriksson research?

Jens Henriksson's work is mostly in Computer Science (41%), Engineering (19%), Decision Sciences (5%).

Physical Sciences: 14 works · 60.3% of their workComputer Science: 9 works · 41.2% of their workArtificial Intelligence: 7 works · 31.7% of their workComputer Vision and Pattern Recognition: 2 works · 9.5% of their workEngineering: 4 works · 19.1% of their workAutomotive Engineering: 2 works · 9.5% of their workBuilding and Construction: 1 works · 4.8% of their workSafety, Risk, Reliability and Quality: 1 works · 4.8% of their workEverything else: 8 works · 34.9% of their workSocial Sciences: 1 works · 4.8% of their workDecision Sciences: 1 works · 4.8% of their workStatistics, Probability and Uncertainty: 1 works · 4.8% of their workTHEIR WORKJens Henriksson23works
Physical Sciences60%Social Sciences5%

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 Science941.2%
    2. Engineering419.1%
  2. Everything else834.9%
    1. Decision Sciences14.8%
  1. 1Artificial Intelligence32% of their works
  2. 2Computer Vision and Pattern Recognition10% of their works
  3. 3Automotive Engineering10% of their works
  4. 4Building and Construction5% of their works
  5. 5Safety, Risk, Reliability and Quality5% of their works
  6. 6Statistics, Probability and Uncertainty5% of their works

Research topics

Which keywords describe Jens Henriksson's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Machine Learning, Adversarial Examples, Robustness, Anomaly Detection, Unsupervised and Autonomous Vehicles.

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 Learning335 topics
  2. Neural Networks213 topics
  3. Machine Learning162 topics
  4. Adversarial Examples101 topic
  5. Robustness101 topic
  6. Anomaly Detection81 topic
  7. Unsupervised81 topic
  8. Autonomous Vehicles61 topic
  9. Convolutional Neural Networks61 topic
  10. Image Recognition61 topic
  11. Trajectory Prediction61 topic
  12. Assurance Cases31 topic
  13. Bayesian Networks31 topic
  14. Fault Tree Analysis31 topic
  15. Safety Assurance31 topic
  16. Short-Term Forecasting31 topic
  17. Traffic Flow31 topic
  18. Architecture-Based Approach21 topic
  19. Software Reliability Modeling21 topic

Where does Jens Henriksson work?

Jens Henriksson's main affiliation in the publication record is Semcon (Sweden), Sweden.

How many publications and citations does Jens Henriksson have?

OpenAlex counts 23 works and 170 citations for Jens Henriksson, an h-index of 7, ranking #3,654,400 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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