Holger R. Roth
Holger R. Roth publishes mostly in Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Artificial Intelligence, on topics such as Radiomics and Machine Learning in Medical Imaging, Advanced Neural Network Applications and Medical Image Segmentation Techniques.
- World rank
- #167,357 of 7,710,434 ranked researchers
- Rank in United States
- #62,715 of 1,627,098
- Works
- 269
- Citations
- 24k
- Citations per work
- 87.9
What does Holger R. Roth research?
Holger R. Roth's work is mostly in Computer Science (41%), Medicine (35%), Engineering (6%).
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
- Physical Sciences12847.4%
- Computer Science11141.4%
- Engineering166.0%
- Health Sciences9434.9%
- Medicine9434.9%
- Everything else4817.7%
- 1Radiology, Nuclear Medicine and Imaging24% of their works
- 2Computer Vision and Pattern Recognition22% of their works
- 3Artificial Intelligence20% of their works
- 4Biomedical Engineering6% of their works
- 5Oncology6% of their works
- 6Pulmonary and Respiratory Medicine5% of their works
Research topics
Which keywords describe Holger R. Roth's research?
The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Machine Learning, Texture Analysis, Medical Imaging, Medical Image Analysis, Artificial Intelligence and Quantitative Analysis.
- Imaging
- Spine Segmentation
- Differential Privacy
- Computer-Aided Detection
- COVID-19
- Graph Cuts
- Image Recognition
- Quantitative Analysis
- Medical Image Analysis
- Texture Analysis
- Convolutional Neural Networks
- Deep Learning
- Machine Learning
- Medical Imaging
- Artificial Intelligence
- Radiomics
- Object Detection
- Image Segmentation
- Chest X-Ray
- Histopathology Images
- Federated Learning
- Vertebrae Detection
- PET/CT
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 23 words, with their numbers
- Deep Learning2595 topics
- Convolutional Neural Networks1743 topics
- Machine Learning1593 topics
- Texture Analysis1392 topics
- Medical Imaging1362 topics
- Medical Image Analysis1273 topics
- Artificial Intelligence822 topics
- Quantitative Analysis791 topic
- Radiomics791 topic
- Image Recognition751 topic
- Object Detection751 topic
- Graph Cuts601 topic
- Image Segmentation601 topic
- COVID-19571 topic
- Chest X-Ray571 topic
- Computer-Aided Detection421 topic
- Histopathology Images421 topic
- Differential Privacy381 topic
- Federated Learning381 topic
- Spine Segmentation251 topic
- Vertebrae Detection251 topic
- Imaging221 topic
- PET/CT221 topic
Where does Holger R. Roth work?
Holger R. Roth's main affiliation in the publication record is Nvidia (United States), United States.
How many publications and citations does Holger R. Roth have?
OpenAlex counts 269 works and 23,648 citations for Holger R. Roth, an h-index of 54, ranking #167,357 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
Ask a question or share a note about Holger R. Roth. Keep it to the research: no personal attacks, advertising or links. Any reader can report a post, which collapses it for everyone until it is opened.