Jonas Ammeling
Jonas Ammeling publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology, on topics such as AI in cancer detection, Digital Imaging for Blood Diseases and Artificial Intelligence in Healthcare and Education.
- World rank
- #1,412,891 of 7,710,434 ranked researchers
- Rank in Germany
- #69,609 of 364,343
- Works
- 740
- Citations
- 252
- Citations per work
- 0.3
What does Jonas Ammeling research?
Jonas Ammeling's work is mostly in Computer Science (43%), Biochemistry, Genetics and Molecular Biology (18%), Medicine (15%).
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 Sciences31542.6%
- Computer Science31542.6%
- Everything else18024.3%
- Life Sciences13618.4%
- Health Sciences10914.7%
- Medicine10914.7%
- 1Artificial Intelligence27% of their works
- 2Computer Vision and Pattern Recognition15% of their works
- 3Molecular Biology12% of their works
- 4Health Informatics8% of their works
- 5Biophysics7% of their works
- 6Radiology, Nuclear Medicine and Imaging7% of their works
Research topics
Which keywords describe Jonas Ammeling's research?
The keywords of their largest research topics: Machine Learning, Convolutional Neural Networks, Medical Image Analysis, Deep Learning, Computer-Aided Detection, Histopathology Images, Image Processing and Feature Extraction.
- Mutational Signatures
- Machine Learning Interpretability
- Radiomics
- Microarray
- High-Content Screening
- Malaria Parasite Detection
- Healthcare
- Precision Medicine
- Feature Extraction
- Histopathology Images
- Deep Learning
- Convolutional Neural Networks
- Machine Learning
- Medical Image Analysis
- Computer-Aided Detection
- Image Processing
- Medical Imaging
- Artificial Intelligence
- Leukemia Classification
- Bioimage Analysis
- Gene Expression
- Quantitative Analysis
- Interpretable Models
- Cancer Genomics
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 24 words, with their numbers
- Machine Learning736 topics
- Convolutional Neural Networks372 topics
- Medical Image Analysis372 topics
- Deep Learning352 topics
- Computer-Aided Detection261 topic
- Histopathology Images261 topic
- Image Processing202 topics
- Feature Extraction192 topics
- Medical Imaging192 topics
- Precision Medicine192 topics
- Artificial Intelligence111 topic
- Healthcare111 topic
- Leukemia Classification111 topic
- Malaria Parasite Detection111 topic
- Bioimage Analysis91 topic
- High-Content Screening91 topic
- Gene Expression81 topic
- Microarray81 topic
- Quantitative Analysis81 topic
- Radiomics81 topic
- Interpretable Models71 topic
- Machine Learning Interpretability71 topic
- Cancer Genomics41 topic
- Mutational Signatures41 topic
Where does Jonas Ammeling work?
Jonas Ammeling's main affiliation in the publication record is Technische Hochschule Ingolstadt, Germany.
How many publications and citations does Jonas Ammeling have?
OpenAlex counts 740 works and 252 citations for Jonas Ammeling, an h-index of 8, ranking #1,412,891 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.
Discussion
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