Katherine Morales
Katherine Morales publishes mostly in Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition, on topics such as Bayesian Methods and Mixture Models, Time Series Analysis and Forecasting and Neural Networks and Applications.
- World rank
- #5,431,984 of 7,710,434 ranked researchers
- Rank in France
- #230,046 of 324,115
- Works
- 16
- Citations
- 22
- Citations per work
- 1.4
What does Katherine Morales research?
Katherine Morales's work is mostly in Computer Science (50%), Social Sciences (11%), Dentistry (5%).
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 Sciences850.0%
- Computer Science850.0%
- Everything else534.1%
- Social Sciences210.6%
- Social Sciences210.6%
- Health Sciences15.3%
- Dentistry15.3%
- 1Artificial Intelligence24% of their works
- 2Signal Processing18% of their works
- 3Computer Vision and Pattern Recognition8% of their works
- 4Education5% of their works
- 5Orthodontics5% of their works
- 6Cultural Studies5% of their works
Research topics
- Bayesian Methods and Mixture Models
- Time Series Analysis and Forecasting
- Neural Networks and Applications
- Blind Source Separation Techniques
- Machine Learning and Data Classification
- Gaussian Processes and Bayesian Inference
- Advanced Image and Video Retrieval Techniques
- Medical Image Segmentation Techniques
Which keywords describe Katherine Morales's research?
The keywords of their largest research topics: Deep Learning, Clustering, Bayesian Inference, Variational Inference, Dirichlet Process, Dynamic Time Warping, Mixture Models and Time Series.
- Noisy Labels
- Machine Learning
- Image Segmentation
- Gaussian Processes
- Independent Component Analysis
- Self-Organizing Maps
- Time Series
- Dynamic Time Warping
- Variational Inference
- Clustering
- Deep Learning
- Bayesian Inference
- Dirichlet Process
- Mixture Models
- Neural Networks
- Blind Separation
- Feature Matching
- Hyperparameter Optimization
- Local Descriptors
- Medical Image Analysis
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. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.
All 20 words, with their numbers
- Deep Learning105 topics
- Clustering82 topics
- Bayesian Inference52 topics
- Variational Inference52 topics
- Dirichlet Process41 topic
- Dynamic Time Warping41 topic
- Mixture Models41 topic
- Time Series41 topic
- Neural Networks31 topic
- Self-Organizing Maps31 topic
- Blind Separation21 topic
- Independent Component Analysis21 topic
- Feature Matching11 topic
- Gaussian Processes11 topic
- Hyperparameter Optimization11 topic
- Image Segmentation11 topic
- Local Descriptors11 topic
- Machine Learning11 topic
- Medical Image Analysis11 topic
- Noisy Labels11 topic
Where does Katherine Morales work?
Katherine Morales's main affiliation in the publication record is Institut Polytechnique de Paris, France.
How many publications and citations does Katherine Morales have?
OpenAlex counts 16 works and 22 citations for Katherine Morales, an h-index of 3, ranking #5,431,984 of 7,710,434 researchers worldwide on the quality score.
Ranked on field-normalised citation 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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