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Researcher · Halmstad University · Sweden

Stefan Byttner

Stefan Byttner publishes mostly in Artificial Intelligence, Control and Systems Engineering and Automotive Engineering, on topics such as Fault Detection and Control Systems, Advanced Combustion Engine Technologies and Anomaly Detection Techniques and Applications.

ORCID 0000-0002-0293-040X OpenAlex
World rank
#2,348,823
of 7,710,434 ranked researchers
Rank in Sweden
#30,314
of 71,437
Works
68
Citations
941
Citations per work
13.8
h-index
15
i10-index 24Top 22% in Artificial Intelligence
Stefan Byttner

What does Stefan Byttner research?

Stefan Byttner's work is mostly in Computer Science (32%), Engineering (22%), Chemical Engineering (5%).

Physical Sciences: 41 works · 59.9% of their workComputer Science: 22 works · 32.3% of their workArtificial Intelligence: 16 works · 22.9% of their workComputer Vision and Pattern Recognition: 4 works · 5.2% of their workSignal Processing: 3 works · 4.2% of their workEngineering: 15 works · 22.4% of their workControl and Systems Engineering: 11 works · 16.7% of their workAutomotive Engineering: 4 works · 5.7% of their workChemical Engineering: 4 works · 5.2% of their workFluid Flow and Transfer Processes: 4 works · 5.2% of their workEverything else: 27 works · 40.1% of their workTHEIR WORKStefan Byttner68works
Physical Sciences60%

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 Science2232.3%
    2. Engineering1522.4%
    3. Chemical Engineering45.2%
  2. Everything else2740.1%
  1. 1Artificial Intelligence23% of their works
  2. 2Control and Systems Engineering17% of their works
  3. 3Automotive Engineering6% of their works
  4. 4Fluid Flow and Transfer Processes5% of their works
  5. 5Computer Vision and Pattern Recognition5% of their works
  6. 6Signal Processing4% of their works

Research topics

Which keywords describe Stefan Byttner's research?

The keywords of their largest research topics: Machine Learning, Deep Learning, Fault Detection, Process Monitoring, Time Series, Neural Networks, Chemical Kinetics and Combustion.

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. Machine Learning252 topics
  2. Deep Learning233 topics
  3. Fault Detection191 topic
  4. Process Monitoring191 topic
  5. Time Series162 topics
  6. Neural Networks152 topics
  7. Chemical Kinetics101 topic
  8. Combustion101 topic
  9. Anomaly Detection81 topic
  10. Clustering81 topic
  11. Dynamic Time Warping81 topic
  12. Unsupervised81 topic
  13. Backpropagation Learning71 topic
  14. Self-Organizing Maps71 topic
  15. Eco-Driving61 topic
  16. Fuel Consumption61 topic
  17. Fuzzy Logic Systems61 topic
  18. Type-2 Fuzzy Sets61 topic
  19. Breath Analysis51 topic
  20. Electronic Nose51 topic

Where does Stefan Byttner work?

Stefan Byttner's main affiliation in the publication record is Halmstad University, Sweden.

How many publications and citations does Stefan Byttner have?

OpenAlex counts 68 works and 941 citations for Stefan Byttner, an h-index of 15, ranking #2,348,823 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.

Discussion

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