Beate Sick
Beate Sick publishes mostly in Artificial Intelligence, Biophysics and Cardiology and Cardiovascular Medicine, on topics such as Cell Image Analysis Techniques, Image Processing Techniques and Applications and Advanced Fluorescence Microscopy Techniques.
- World rank
- #858,994 of 1,633,909 ranked researchers
- Rank in Switzerland
- #13,048 of 19,404
- Works
- 19
- Citations
- 60
- Citations per work
- 3.2
What does Beate Sick research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence14% of their works
- 2Biophysics10% of their works
- 3Cardiology and Cardiovascular Medicine10% of their works
- 4Molecular Biology10% of their works
- 5Media Technology7% of their works
- 6Radiology, Nuclear Medicine and Imaging7% of their works
Research topics
- Cell Image Analysis Techniques
- Image Processing Techniques and Applications
- Advanced Fluorescence Microscopy Techniques
- Gene expression and cancer classification
- Molecular Biology Techniques and Applications
- Genomics and Chromatin Dynamics
- Neural Networks and Applications
- Anomaly Detection Techniques and Applications
Which keywords describe Beate Sick's research?
The keywords of their largest research topics: Deep Learning, Image Processing, Microscopy, Neural Networks, Machine Learning, Autofocusing, Bioimage Analysis and Data Analysis.
- Transcription
- Self-Organizing Maps
- Quantitative
- Fluorescent Proteins
- Chromatin
- Anomaly Detection
- Gene Expression
- Data Analysis
- Autofocusing
- Neural Networks
- Image Processing
- Deep Learning
- Microscopy
- Machine Learning
- Bioimage Analysis
- Depth Estimation
- High-Content Screening
- Backpropagation Learning
- Differential Expression
- Microarray
- Real-Time PCR
- Super-Resolution Imaging
- Unsupervised
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 23 words, with their numbers
- Deep Learning43 topics
- Image Processing42 topics
- Microscopy42 topics
- Neural Networks43 topics
- Machine Learning32 topics
- Autofocusing21 topic
- Bioimage Analysis21 topic
- Data Analysis22 topics
- Depth Estimation21 topic
- Gene Expression22 topics
- High-Content Screening21 topic
- Anomaly Detection11 topic
- Backpropagation Learning11 topic
- Chromatin11 topic
- Differential Expression11 topic
- Fluorescent Proteins11 topic
- Microarray11 topic
- Quantitative11 topic
- Real-Time PCR11 topic
- Self-Organizing Maps11 topic
- Super-Resolution Imaging11 topic
- Transcription11 topic
- Unsupervised11 topic
Where does Beate Sick work?
Beate Sick's main affiliation in the publication record is ZHAW Zurich University of Applied Sciences, Switzerland.
How many publications and citations does Beate Sick have?
Science Explorer counts 19 works and 60 citations for Beate Sick, ranking #858,994 of 1,633,909 researchers worldwide on the composite 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 are in the interactive view on the map. Is this your page? Request a correction or removal.