Naila Murray
Naila Murray publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Cognitive Neuroscience, on topics such as Domain Adaptation and Few-Shot Learning, Multimodal Machine Learning Applications and Visual Attention and Saliency Detection.
- World rank
- #1,103,361 of 7,710,434 ranked researchers
- Rank in France
- #51,344 of 324,115
- Works
- 43
- Citations
- 2.4k
- Citations per work
- 56.6
What does Naila Murray research?
Naila Murray's work is mostly in Computer Science (72%), Neuroscience (12%), Psychology (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 Sciences3274.1%
- Computer Science3171.7%
- Engineering12.4%
- Life Sciences512.1%
- Neuroscience512.1%
- Everything else510.6%
- Social Sciences13.2%
- Psychology13.2%
- 1Computer Vision and Pattern Recognition56% of their works
- 2Artificial Intelligence16% of their works
- 3Cognitive Neuroscience10% of their works
- 4Social Psychology3% of their works
- 5Media Technology2% of their works
- 6Sensory Systems2% of their works
Research topics
- Domain Adaptation and Few-Shot Learning
- Multimodal Machine Learning Applications
- Visual Attention and Saliency Detection
- Advanced Image and Video Retrieval Techniques
- Image Retrieval and Classification Techniques
- Advanced Neural Network Applications
- Aesthetic Perception and Analysis
- Visual perception and processing mechanisms
Which keywords describe Naila Murray's research?
The keywords of their largest research topics: Deep Learning, Neural Networks, Domain Adaptation, Transfer Learning, Image Captioning, Saliency Detection, Visual Attention and Visual Question Answering.
- Visual Perception
- Neuroaesthetics
- Image Recognition
- Shape Matching
- Local Descriptors
- Visual Question Answering
- Saliency Detection
- Transfer Learning
- Neural Networks
- Deep Learning
- Domain Adaptation
- Image Captioning
- Visual Attention
- Feature Matching
- Content-Based Image Retrieval
- Convolutional Neural Networks
- Aesthetic Perception
- Neural Processing
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 18 words, with their numbers
- Deep Learning404 topics
- Neural Networks222 topics
- Domain Adaptation121 topic
- Transfer Learning121 topic
- Image Captioning111 topic
- Saliency Detection111 topic
- Visual Attention111 topic
- Visual Question Answering111 topic
- Feature Matching101 topic
- Local Descriptors101 topic
- Content-Based Image Retrieval91 topic
- Shape Matching91 topic
- Convolutional Neural Networks81 topic
- Image Recognition81 topic
- Aesthetic Perception51 topic
- Neuroaesthetics51 topic
- Neural Processing41 topic
- Visual Perception41 topic
Where does Naila Murray work?
Naila Murray's main affiliation in the publication record is Xerox (France), France.
How many publications and citations does Naila Murray have?
OpenAlex counts 43 works and 2,433 citations for Naila Murray, an h-index of 18, ranking #1,103,361 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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