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Researcher · Nvidia (United States) · United States

Markus Kettunen

Markus Kettunen publishes mostly in Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Control and Systems Engineering, on topics such as Advanced Vision and Imaging, Computer Graphics and Visualization Techniques and Image Enhancement Techniques.

ORCID 0000-0002-5206-9603 OpenAlex
World rank
#987,425
of 7,710,434 ranked researchers
Rank in United States
#322,954
of 1,627,098
Works
41
Citations
573
Citations per work
14.0
h-index
13
i10-index 15Top 30% in Computer Vision and Pattern Recognition
Markus Kettunen

What does Markus Kettunen research?

Markus Kettunen's work is mostly in Computer Science (66%), Engineering (14%), Biochemistry, Genetics and Molecular Biology (2%).

Physical Sciences: 33 works · 79.6% of their workComputer Science: 27 works · 65.6% of their workComputer Vision and Pattern Recognition: 17 works · 41.9% of their workComputer Graphics and Computer-Aided Design: 6 works · 14.0% of their workArtificial Intelligence: 3 works · 6.5% of their workInformation Systems: 1 works · 3.2% of their workEngineering: 6 works · 14.0% of their workControl and Systems Engineering: 6 works · 14.0% of their workEverything else: 7 works · 18.2% of their workLife Sciences: 1 works · 2.2% of their workBiochemistry, Genetics and Molecular Biology: 1 works · 2.2% of their workBiophysics: 1 works · 2.2% of their workTHEIR WORKMarkus Kettunen41works
Life Sciences2%Physical Sciences80%

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 Science2765.6%
    2. Engineering614.0%
  2. Everything else718.2%
    1. Biochemistry, Genetics and Molecular Biology12.2%
  1. 1Computer Vision and Pattern Recognition42% of their works
  2. 2Computer Graphics and Computer-Aided Design14% of their works
  3. 3Control and Systems Engineering14% of their works
  4. 4Artificial Intelligence6% of their works
  5. 5Information Systems3% of their works
  6. 6Biophysics2% of their works

Research topics

Which keywords describe Markus Kettunen's research?

The keywords of their largest research topics: Convolutional Networks, Deep Learning, Depth Estimation, Stereo Vision, Computer Graphics, Visualization, Contrast Enhancement and Dehazing.

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. Convolutional Networks232 topics
  2. Deep Learning173 topics
  3. Depth Estimation161 topic
  4. Stereo Vision161 topic
  5. Computer Graphics131 topic
  6. Visualization131 topic
  7. Contrast Enhancement71 topic
  8. Dehazing71 topic
  9. Image71 topic
  10. Super-Resolution71 topic
  11. Fault Detection51 topic
  12. Model Predictive Control51 topic
  13. Optimization51 topic
  14. Process Monitoring51 topic
  15. Autonomic Computing31 topic
  16. Image Denoising31 topic
  17. Self-Adaptive Systems31 topic
  18. Sparse Representations31 topic

Where does Markus Kettunen work?

Markus Kettunen's main affiliation in the publication record is Nvidia (United States), United States.

How many publications and citations does Markus Kettunen have?

OpenAlex counts 41 works and 573 citations for Markus Kettunen, an h-index of 13, ranking #987,425 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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