Maximilian Alber
Maximilian Alber publishes mostly in Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, on topics such as Radiomics and Machine Learning in Medical Imaging, AI in cancer detection and Explainable Artificial Intelligence (XAI).
- World rank
- #2,080,177 of 7,710,434 ranked researchers
- Rank in Germany
- #102,668 of 364,343
- Works
- 47
- Citations
- 1.6k
- Citations per work
- 33.7
What does Maximilian Alber research?
Maximilian Alber's work is mostly in Computer Science (49%), Medicine (20%), Biochemistry, Genetics and Molecular Biology (4%).
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 Sciences2348.8%
- Computer Science2348.8%
- Everything else1326.7%
- Health Sciences1020.4%
- Medicine1020.4%
- Life Sciences24.1%
- 1Artificial Intelligence44% of their works
- 2Radiology, Nuclear Medicine and Imaging14% of their works
- 3Computer Vision and Pattern Recognition5% of their works
- 4Cancer Research4% of their works
- 5Oncology3% of their works
- 6Health Informatics3% of their works
Research topics
Which keywords describe Maximilian Alber's research?
The keywords of their largest research topics: Machine Learning, Deep Learning, Medical Imaging, Precision Medicine, Quantitative Analysis, Radiomics, Histopathology Images and Medical Image Analysis.
- High-Content Screening
- Bioimage Analysis
- Artificial Intelligence
- Backpropagation Learning
- Adversarial Examples
- Interpretable Models
- Medical Image Analysis
- Radiomics
- Precision Medicine
- Deep Learning
- Machine Learning
- Medical Imaging
- Quantitative Analysis
- Histopathology Images
- Neural Networks
- Machine Learning Interpretability
- Robustness
- Self-Organizing Maps
- Healthcare
- Cancer Genomics
- Mutational Signatures
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 21 words, with their numbers
- Machine Learning425 topics
- Deep Learning284 topics
- Medical Imaging192 topics
- Precision Medicine192 topics
- Quantitative Analysis151 topic
- Radiomics151 topic
- Histopathology Images141 topic
- Medical Image Analysis141 topic
- Neural Networks112 topics
- Interpretable Models101 topic
- Machine Learning Interpretability101 topic
- Adversarial Examples61 topic
- Robustness61 topic
- Backpropagation Learning51 topic
- Self-Organizing Maps51 topic
- Artificial Intelligence41 topic
- Healthcare41 topic
- Bioimage Analysis31 topic
- Cancer Genomics31 topic
- High-Content Screening31 topic
- Mutational Signatures31 topic
Where does Maximilian Alber work?
Maximilian Alber's main affiliation in the publication record is Technische Universität Berlin, Germany.
How many publications and citations does Maximilian Alber have?
OpenAlex counts 47 works and 1,583 citations for Maximilian Alber, an h-index of 13, ranking #2,080,177 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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