Greg Heinrich
Greg Heinrich publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Graphics and Computer-Aided Design, on topics such as Multimodal Machine Learning Applications, Domain Adaptation and Few-Shot Learning and Advanced Neural Network Applications.
- World rank
- #2,066,584 of 7,710,434 ranked researchers
- Rank in Singapore
- #10,284 of 23,642
- Works
- 24
- Citations
- 152
- Citations per work
- 6.3
What does Greg Heinrich research?
Greg Heinrich's work is mostly in Computer Science (77%), Biochemistry, Genetics and Molecular Biology (7%), Neuroscience (3%).
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 Sciences1876.6%
- Computer Science1876.6%
- Everything else313.5%
- Life Sciences29.9%
- 1Computer Vision and Pattern Recognition38% of their works
- 2Artificial Intelligence35% of their works
- 3Computer Graphics and Computer-Aided Design3% of their works
- 4Neurology3% of their works
- 5Molecular Biology3% of their works
- 6Biophysics3% of their works
Research topics
Which keywords describe Greg Heinrich's research?
The keywords of their largest research topics: Deep Learning, Neural Networks, Representation Learning, Unsupervised Learning, Image Captioning, Visual Question Answering, Domain Adaptation and Transfer Learning.
- Peptide-MHC Binding
- Epitope Prediction
- Word Representation
- Neural Machine Translation
- Image Synthesis
- Generative Adversarial Networks
- Transfer Learning
- Visual Question Answering
- Unsupervised Learning
- Neural Networks
- Deep Learning
- Representation Learning
- Image Captioning
- Domain Adaptation
- Convolutional Neural Networks
- Image Recognition
- Machine Translation
- Statistical Machine Translation
- Bioimage Analysis
- High-Content Screening
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 20 words, with their numbers
- Deep Learning214 topics
- Neural Networks173 topics
- Representation Learning112 topics
- Unsupervised Learning112 topics
- Image Captioning91 topic
- Visual Question Answering91 topic
- Domain Adaptation61 topic
- Transfer Learning61 topic
- Convolutional Neural Networks51 topic
- Generative Adversarial Networks51 topic
- Image Recognition51 topic
- Image Synthesis51 topic
- Machine Translation31 topic
- Neural Machine Translation31 topic
- Statistical Machine Translation31 topic
- Word Representation31 topic
- Bioimage Analysis21 topic
- Epitope Prediction21 topic
- High-Content Screening21 topic
- Peptide-MHC Binding21 topic
Where does Greg Heinrich work?
Greg Heinrich's main affiliation in the publication record is SingHealth, Singapore.
How many publications and citations does Greg Heinrich have?
OpenAlex counts 24 works and 152 citations for Greg Heinrich, an h-index of 6, ranking #2,066,584 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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