Fraunhofer Institute for Digital Medicine
In research, Fraunhofer Institute for Digital Medicine stands highest in Physical Sciences (#9,442 of 21,541 worldwide), Medicine (#10,313 of 17,978 worldwide) and Radiology, Nuclear Medicine and Imaging (#1,011 of 1,574 worldwide), over all time. Relative to its size it is most specialised in Radiology, Nuclear Medicine and Imaging — Radiology, Nuclear Medicine and Imaging is 27.4× its share of world research.
- World rank, 2022–2025
- #11,547 of 28,054 · #15,053 all time
- Rank in Germany
- #462 of 1,178
- Research works
- 615 ▼ 22% vs 2013–17
- Citations
- 12k 19.9 per fractional work
- Top-10% rate
- 24.6% record average 16.5%
- Open access
- 31% world 28%
What is Fraunhofer Institute for Digital Medicine known for in research?
The fields where it stands highest, over all time, ranked among every institution above the floor in each field.
| Field | World rank | Where that sits | Top-10% rate | Works |
|---|---|---|---|---|
| Physical SciencesDomain | #9,442 of 21,541 | 24.3% | 234 | |
| MedicineField | #10,313 of 17,978 | 19.2% | 328 | |
| Radiology, Nuclear Medicine and ImagingSubfield | #1,011 of 1,574 | 20.2% | 148 | |
| Health SciencesDomain | #13,272 of 20,462 | 19.2% | 335 |
Each strip is that field’s whole ranked pool, with the notch where Fraunhofer Institute for Digital Medicine sits in it, in the colour of the band that rank falls in. The track under the rate is the rate itself: it carries no world mark, because the world rate differs by field (from about 6% to 21% in this record).
What does Fraunhofer Institute for Digital Medicine specialise in?
Where its research is concentrated relative to its size: Radiology, Nuclear Medicine and Imaging takes 27.4× the share of its output that it takes of world research.
- Radiology, Nuclear Medicine and ImagingSubfield · 24.4 works27×
Location quotient, a volume reading rather than an impact one. It surfaces small, lopsided specialities.
Field profile
Location quotient across every field it publishes in: outside the ring is more than an institution of this size would be expected to publish, inside it is less.
Rings at 0.5×, 1× and 2×. Widest outward: Dentistry, 3.1×. Every wedge is a field page.
- Dentistry 3.1×
- Computer Science 2.8×
- Medicine 2.5×
- Neuroscience 2.0×
- Physics and Astronomy 1.9×
- Mathematics 1.2×
- Health Professions 0.8×
- Decision Sciences 0.8×
- Engineering 0.7×
- Biochemistry, Genetics and Molecular Biology 0.5×
- Materials Science 0.5×
- Chemistry 0.3×
- Immunology and Microbiology 0.2×
- Chemical Engineering 0.1×
- Psychology 0.1×
- Arts and Humanities 0.1×
- Economics, Econometrics and Finance 0.1×
- Agricultural and Biological Sciences 0.0×
- Social Sciences 0.0×
- Environmental Science 0.0×
Who are the top researchers at Fraunhofer Institute for Digital Medicine?
Ranked on the composite score, Andrea Schenk, Horst K. Hahn and Stefan Heldmann lead among researchers whose main affiliation is Fraunhofer Institute for Digital Medicine.
- 1 Andrea Schenk Germany · #262,992 worldwide 81 citations · 31 works
- 2 Horst K. Hahn Germany · #382,846 worldwide 106 citations · 53 works
- 3 Stefan Heldmann Germany · #442,403 worldwide 93 citations · 26 works
- 4 Heinz‐Otto Peitgen Germany · #572,595 worldwide 157 citations · 87 works
- 5 André Homeyer Germany · #631,106 worldwide 73 citations · 16 works
- 6 Alessa Hering Germany · #633,646 worldwide 48 citations · 18 works
- 7 Joachim Georgii Germany · #656,836 worldwide 34 citations · 17 works
- 8 Matthias Günther Germany · #891,478 worldwide 46 citations · 50 works
- 9 Anja Hennemuth Germany · #912,203 worldwide 43 citations · 40 works
- 10 Jan Klein Germany · #1,034,730 worldwide 28 citations · 22 works
Which keywords describe research at Fraunhofer Institute for Digital Medicine?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Machine Learning, Medical Imaging, Texture Analysis, Feature Extraction, Precision Medicine, Medical Image Analysis and Convolutional Neural Networks.
- Radiology
- Clinical Decision Support
- Health Equity
- Unsupervised Learning
- Brain Tumor
- Spectroscopy
- Healthcare
- PET/CT
- Reconstruction
- Imaging
- Histopathology Images
- Graph Cuts
- Perfusion Imaging
- Image Segmentation
- Tumor Heterogeneity
- Quantitative Analysis
- Convolutional Neural Networks
- Medical Image Analysis
- Texture Analysis
- Machine Learning
- Deep Learning
- Medical Imaging
- Feature Extraction
- Precision Medicine
- Predictive Modeling
- Radiomics
- Magnetic Resonance Imaging
- Artificial Intelligence
- Active Contours
- Computer-Aided Detection
- Cancer
- Quantitative
- Transfer Learning
- tumor
- Parallel Imaging
- Classification
- MRI
- Ethical Challenges
- Representation Learning
- Diagnostic Accuracy
Size is fractional works in 2022–2025 in the topics tagged with each word; colour is the word's share of this institution's work against its share of the world's. The 40 words are chosen for being large and distinctive. Each links to the topic it comes from most.
All 40 words, with their numbers
- Deep Learning25▲ 7.4×22 topics
- Machine Learning22▲ 6.9×19 topics
- Medical Imaging17▲ 33×8 topics
- Texture Analysis13▲ 58×2 topics
- Feature Extraction12▲ 26×4 topics
- Medical Image Analysis11▲ 61×4 topics
- Precision Medicine11▲ 24×4 topics
- Convolutional Neural Networks9▲ 12×5 topics
- Predictive Modeling9▲ 33×2 topics
- Quantitative Analysis8▲ 41×2 topics
- Radiomics8▲ 71×1 topic
- Tumor Heterogeneity8▲ 71×1 topic
- Magnetic Resonance Imaging8▲ 31×8 topics
- Image Segmentation7▲ 59×2 topics
- Artificial Intelligence6▲ 4.3×7 topics
- Perfusion Imaging5▲ 75×2 topics
- Active Contours5▲ 145×1 topic
- Graph Cuts5▲ 145×1 topic
- Computer-Aided Detection5▲ 54×1 topic
- Histopathology Images5▲ 54×1 topic
- Cancer5▲ 3.5×4 topics
- Imaging5▲ 19×4 topics
- Quantitative4▲ 50×2 topics
- Reconstruction4▲ 26×2 topics
- Transfer Learning4▲ 24×3 topics
- PET/CT4▲ 77×1 topic
- tumor4▲ 77×1 topic
- Healthcare4▲ 3.5×5 topics
- Parallel Imaging3▲ 67×1 topic
- Spectroscopy3▲ 19×1 topic
- Classification3▲ 6.1×4 topics
- Brain Tumor2▲ 36×1 topic
- MRI2▲ 30×1 topic
- Unsupervised Learning2▲ 18×3 topics
- Ethical Challenges2▲ 12×2 topics
- Health Equity2▲ 8.5×2 topics
- Representation Learning2▲ 17×2 topics
- Clinical Decision Support2▲ 16×1 topic
- Diagnostic Accuracy2▲ 33×2 topics
- Radiology2▲ 18×1 topic
Which research topics does Fraunhofer Institute for Digital Medicine publish most on?
By volume in 2022–2025: Radiomics and Machine Learning in Medical Imaging, Medical Image Segmentation Techniques, AI in cancer detection and Medical Imaging Techniques and Applications.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Radiomics and Machine Learning in Medical Imaging Radiology, Nuclear Medicine and Imaging 8 works
- 2 Medical Image Segmentation Techniques Computer Vision and Pattern Recognition 5 works
- 3 AI in cancer detection Artificial Intelligence 5 works
- 4 Medical Imaging Techniques and Applications Radiology, Nuclear Medicine and Imaging 4 works
- 5 Advanced MRI Techniques and Applications Radiology, Nuclear Medicine and Imaging 3 works
- 6 Brain Tumor Detection and Classification Neurology 2 works
- 7 MRI in cancer diagnosis Radiology, Nuclear Medicine and Imaging 2 works
- 8 Artificial Intelligence in Healthcare and Education Health Informatics 2 works
- 9 Advanced X-ray and CT Imaging Biomedical Engineering 2 works
- 10 Advanced Neural Network Applications Computer Vision and Pattern Recognition 2 works
How open and international is its research?
Against the world’s own shares — the tick on each track. Both are shares of its output, so they sit on one scale and can be read against each other as well as against the world.
World: 28% of research is openly available.
World: 19% is written across borders.
How has Fraunhofer Institute for Digital Medicine's research output changed?
Output in 2018–2022 was 22% lower than in 2013–2017.
The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.
Other research institutions in Bremen
- University of Bremen
- Constructor University
- Praxis für Humangenetik
- Hochschule Bremen
- Max Planck Institute for Marine Microbiology
- Fraunhofer Institute for Manufacturing Technology and Advanced Materials
- Klinikum Bremen-Mitte
- Leibniz-Institut für Werkstofforientierte Technologien - IWT
Research measures only: rankings here say nothing about teaching, admissions or student experience. Comparable institutions and collaboration partners are in the interactive view on the map.