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Researcher · Maersk (Denmark) · Denmark

Jannik Skyttegaard Pedersen

Jannik Skyttegaard Pedersen publishes mostly in Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Health Informatics, on topics such as Topic Modeling, Machine Learning in Healthcare and Artificial Intelligence in Healthcare and Education.

ORCID 0000-0002-7066-1563 OpenAlex
World rank
#4,514,893
of 7,710,434 ranked researchers
Rank in Denmark
#31,524
of 43,819
Works
15
Citations
147
Citations per work
9.8
h-index
5
i10-index 2Top 82% in Artificial Intelligence
Jannik Skyttegaard Pedersen

What does Jannik Skyttegaard Pedersen research?

Jannik Skyttegaard Pedersen's work is mostly in Medicine (35%), Computer Science (30%), Health Professions (5%).

Health Sciences: 6 works · 40.0% of their workMedicine: 5 works · 35.0% of their workRadiology, Nuclear Medicine and Imaging: 2 works · 15.0% of their workHealth Informatics: 1 works · 7.5% of their workNeurology: 1 works · 7.5% of their workCritical Care and Intensive Care Medicine: 1 works · 5.0% of their workHealth Professions: 1 works · 5.0% of their workHealth Information Management: 1 works · 5.0% of their workEverything else: 5 works · 30.0% of their workPhysical Sciences: 4 works · 30.0% of their workComputer Science: 4 works · 30.0% of their workArtificial Intelligence: 4 works · 30.0% of their workTHEIR WORKJannikSkyttegaard…15works
Physical Sciences30%Health Sciences40%

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. Medicine535.0%
    2. Health Professions15.0%
  2. Everything else530.0%
    1. Computer Science430.0%
  1. 1Artificial Intelligence30% of their works
  2. 2Radiology, Nuclear Medicine and Imaging15% of their works
  3. 3Health Informatics8% of their works
  4. 4Neurology8% of their works
  5. 5Health Information Management5% of their works
  6. 6Critical Care and Intensive Care Medicine5% of their works

Research topics

Which keywords describe Jannik Skyttegaard Pedersen's research?

The keywords of their largest research topics: Healthcare, Medical Imaging, Precision Medicine, Neural Networks, Word Representation, Artificial Intelligence, Breast Cancer Detection and Deep Learning.

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 19 words, with their numbers
  1. Healthcare62 topics
  2. Medical Imaging62 topics
  3. Precision Medicine62 topics
  4. Neural Networks51 topic
  5. Word Representation51 topic
  6. Artificial Intelligence31 topic
  7. Breast Cancer Detection31 topic
  8. Deep Learning31 topic
  9. Electronic Health Records31 topic
  10. Infrared Thermography31 topic
  11. Machine Learning31 topic
  12. Biomedical Ontologies21 topic
  13. ICU21 topic
  14. Neural Machine Translation21 topic
  15. Statistical Machine Translation21 topic
  16. Text Mining21 topic
  17. Ventilator-associated Pneumonia21 topic
  18. Endocytosis11 topic
  19. Membrane Fusion11 topic

Where does Jannik Skyttegaard Pedersen work?

Jannik Skyttegaard Pedersen's main affiliation in the publication record is Maersk (Denmark), Denmark.

How many publications and citations does Jannik Skyttegaard Pedersen have?

OpenAlex counts 15 works and 147 citations for Jannik Skyttegaard Pedersen, an h-index of 5, ranking #4,514,893 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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