Shan Carter
Shan Carter publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Biophysics, on topics such as Adversarial Robustness in Machine Learning, Explainable Artificial Intelligence (XAI) and Generative Adversarial Networks and Image Synthesis.
- World rank
- #1,197,115 of 7,710,434 ranked researchers
- Rank in United States
- #384,057 of 1,627,098
- Works
- 18
- Citations
- 1.7k
- Citations per work
- 96.1
What does Shan Carter research?
Shan Carter's work is mostly in Computer Science (69%), Biochemistry, Genetics and Molecular Biology (4%), Engineering (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 Sciences1373.0%
- Computer Science1269.2%
- Engineering13.8%
- Everything else319.4%
- Life Sciences13.8%
- Social Sciences13.8%
- Social Sciences13.8%
- 1Artificial Intelligence50% of their works
- 2Computer Vision and Pattern Recognition15% of their works
- 3Biophysics4% of their works
- 4Hardware and Architecture4% of their works
- 5Electrical and Electronic Engineering4% of their works
- 6General Social Sciences4% of their works
Research topics
- Adversarial Robustness in Machine Learning
- Explainable Artificial Intelligence (XAI)
- Generative Adversarial Networks and Image Synthesis
- Anomaly Detection Techniques and Applications
- Cell Image Analysis Techniques
- Neural Networks and Applications
- Reinforcement Learning in Robotics
- Parallel Computing and Optimization Techniques
Which keywords describe Shan Carter's research?
The keywords of their largest research topics: Deep Learning, Neural Networks, Machine Learning, Adversarial Examples, Interpretable Models, Machine Learning Interpretability, Robustness and Generative Adversarial Networks.
- Robotics
- Performance Optimization
- High-Content Screening
- Backpropagation Learning
- Anomaly Detection
- Generative Adversarial Networks
- Machine Learning Interpretability
- Adversarial Examples
- Neural Networks
- Deep Learning
- Machine Learning
- Interpretable Models
- Robustness
- Image Synthesis
- Unsupervised
- Bioimage Analysis
- Parallel Computing
- Reinforcement Learning
- Self-Organizing Maps
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 19 words, with their numbers
- Deep Learning186 topics
- Neural Networks165 topics
- Machine Learning72 topics
- Adversarial Examples51 topic
- Interpretable Models51 topic
- Machine Learning Interpretability51 topic
- Robustness51 topic
- Generative Adversarial Networks41 topic
- Image Synthesis41 topic
- Anomaly Detection31 topic
- Unsupervised31 topic
- Backpropagation Learning21 topic
- Bioimage Analysis21 topic
- High-Content Screening21 topic
- Parallel Computing21 topic
- Performance Optimization21 topic
- Reinforcement Learning21 topic
- Robotics21 topic
- Self-Organizing Maps21 topic
Where does Shan Carter work?
Shan Carter's main affiliation in the publication record is OpenAI (United States), United States.
How many publications and citations does Shan Carter have?
OpenAlex counts 18 works and 1,730 citations for Shan Carter, an h-index of 13, ranking #1,197,115 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.
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