Jakob Nikolas Kather
Jakob Nikolas Kather publishes mostly in Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Oncology, on topics such as AI in cancer detection, Radiomics and Machine Learning in Medical Imaging and Artificial Intelligence in Healthcare and Education.
- World rank
- #7,739 of 7,710,434 ranked researchers
- Rank in Germany
- #322 of 364,343
- Works
- 653
- Citations
- 22k
- Citations per work
- 34.2
What does Jakob Nikolas Kather research?
Jakob Nikolas Kather's work is mostly in Medicine (35%), Computer Science (21%), Biochemistry, Genetics and Molecular Biology (11%).
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
- Health Sciences22634.6%
- Medicine22634.6%
- Everything else21933.5%
- Physical Sciences13821.1%
- Computer Science13821.1%
- Life Sciences7110.8%
- 1Artificial Intelligence21% of their works
- 2Radiology, Nuclear Medicine and Imaging16% of their works
- 3Oncology11% of their works
- 4Health Informatics7% of their works
- 5Cancer Research6% of their works
- 6Molecular Biology5% of their works
Research topics
Which keywords describe Jakob Nikolas Kather's research?
The keywords of their largest research topics: Machine Learning, Precision Medicine, Medical Imaging, Deep Learning, Predictive Modeling, Convolutional Neural Networks, Medical Image Analysis and Feature Extraction.
- Leukemia Classification
- Immune Checkpoint Blockade
- Colorectal Cancer
- Cancer Genomics
- Electronic Health Records
- Artificial Intelligence
- Radiomics
- Histopathology Images
- Feature Extraction
- Convolutional Neural Networks
- Deep Learning
- Precision Medicine
- Machine Learning
- Medical Imaging
- Predictive Modeling
- Medical Image Analysis
- Computer-Aided Detection
- Quantitative Analysis
- Healthcare
- Clinical Decision Support
- Patient Similarity
- Mutational Signatures
- Screening
- PD-1 and PD-L1
- Malaria Parasite Detection
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 25 words, with their numbers
- Machine Learning5144 topics
- Precision Medicine3453 topics
- Medical Imaging2892 topics
- Deep Learning2512 topics
- Predictive Modeling2342 topics
- Convolutional Neural Networks2252 topics
- Medical Image Analysis2252 topics
- Feature Extraction2082 topics
- Computer-Aided Detection1951 topic
- Histopathology Images1951 topic
- Quantitative Analysis1781 topic
- Radiomics1781 topic
- Healthcare1672 topics
- Artificial Intelligence1111 topic
- Clinical Decision Support1111 topic
- Electronic Health Records561 topic
- Patient Similarity561 topic
- Cancer Genomics541 topic
- Mutational Signatures541 topic
- Colorectal Cancer471 topic
- Screening471 topic
- Immune Checkpoint Blockade381 topic
- PD-1 and PD-L1381 topic
- Leukemia Classification301 topic
- Malaria Parasite Detection301 topic
Where does Jakob Nikolas Kather work?
Jakob Nikolas Kather's main affiliation in the publication record is Heidelberg University, Germany.
How many publications and citations does Jakob Nikolas Kather have?
OpenAlex counts 653 works and 22,343 citations for Jakob Nikolas Kather, an h-index of 76, ranking #7,739 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.
Other researchers named Jakob Nikolas Kather
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