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Researcher · Friedrich-Alexander-Universität Erlangen-Nürnberg · Germany

Lukas Folle

Lukas Folle publishes mostly in Radiology, Nuclear Medicine and Imaging, Rheumatology and Computer Vision and Pattern Recognition, on topics such as Radiomics and Machine Learning in Medical Imaging, Medical Imaging Techniques and Applications and Rheumatoid Arthritis Research and Therapies.

ORCID 0000-0002-5395-097X OpenAlex
World rank
#2,095,684
of 7,710,434 ranked researchers
Rank in Germany
#103,427
of 364,343
Works
42
Citations
360
Citations per work
8.6
h-index
11
i10-index 11Top 50% in Radiology, Nuclear Medicine and Imaging
Lukas Folle

What does Lukas Folle research?

Lukas Folle's work is mostly in Medicine (58%), Computer Science (13%), Engineering (9%).

Health Sciences: 25 works · 58.4% of their workMedicine: 25 works · 58.4% of their workRadiology, Nuclear Medicine and Imaging: 16 works · 37.5% of their workRheumatology: 7 works · 16.7% of their workPulmonary and Respiratory Medicine: 2 works · 4.2% of their workPhysical Sciences: 9 works · 22.6% of their workComputer Science: 6 works · 13.4% of their workComputer Vision and Pattern Recognition: 4 works · 9.2% of their workArtificial Intelligence: 2 works · 4.2% of their workEngineering: 4 works · 9.2% of their workBiomedical Engineering: 4 works · 9.2% of their workEverything else: 8 works · 19.0% of their workTHEIR WORKLukas Folle42works
Physical Sciences23%Health Sciences58%

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. Medicine2558.4%
    1. Computer Science613.4%
    2. Engineering49.2%
  3. Everything else819.0%
  1. 1Radiology, Nuclear Medicine and Imaging38% of their works
  2. 2Rheumatology17% of their works
  3. 3Computer Vision and Pattern Recognition9% of their works
  4. 4Biomedical Engineering9% of their works
  5. 5Pulmonary and Respiratory Medicine4% of their works
  6. 6Artificial Intelligence4% of their works

Research topics

Which keywords describe Lukas Folle's research?

The keywords of their largest research topics: Machine Learning, Medical Imaging, Quantitative Analysis, Radiomics, Convolutional Neural Networks, Deep Learning, Imaging and Inflammation.

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 20 words, with their numbers
  1. Machine Learning182 topics
  2. Medical Imaging182 topics
  3. Quantitative Analysis131 topic
  4. Radiomics131 topic
  5. Convolutional Neural Networks102 topics
  6. Deep Learning102 topics
  7. Imaging101 topic
  8. Inflammation101 topic
  9. PET/CT101 topic
  10. Rheumatoid Arthritis101 topic
  11. Breast MRI91 topic
  12. Diffusion-Weighted Imaging91 topic
  13. Dual-Energy CT71 topic
  14. Material Differentiation71 topic
  15. Ankylosing Spondylitis51 topic
  16. COVID-1951 topic
  17. Chest X-Ray51 topic
  18. Histopathology Images51 topic
  19. Medical Image Analysis51 topic
  20. Spondyloarthritis51 topic

Where does Lukas Folle work?

Lukas Folle's main affiliation in the publication record is Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany.

How many publications and citations does Lukas Folle have?

OpenAlex counts 42 works and 360 citations for Lukas Folle, an h-index of 11, ranking #2,095,684 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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