Davide Modolo
Davide Modolo publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering, on topics such as Human Pose and Action Recognition, Multimodal Machine Learning Applications and Anomaly Detection Techniques and Applications.
- World rank
- #2,029,333 of 7,710,434 ranked researchers
- Rank in United States
- #615,063 of 1,627,098
- Works
- 75
- Citations
- 833
- Citations per work
- 11.1
What does Davide Modolo research?
Davide Modolo's work is mostly in Computer Science (86%), Engineering (3%), Neuroscience (1%).
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 Sciences6789.7%
- Computer Science6486.0%
- Engineering22.8%
- Materials Science10.9%
- Everything else79.4%
- Life Sciences10.9%
- Neuroscience10.9%
- 1Computer Vision and Pattern Recognition61% of their works
- 2Artificial Intelligence25% of their works
- 3Biomedical Engineering2% of their works
- 4Cognitive Neuroscience1% of their works
- 5Materials Chemistry1% of their works
- 6Aerospace Engineering1% of their works
Research topics
- Human Pose and Action Recognition
- Multimodal Machine Learning Applications
- Anomaly Detection Techniques and Applications
- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
- Domain Adaptation and Few-Shot Learning
- Advanced Image and Video Retrieval Techniques
- Generative Adversarial Networks and Image Synthesis
Which keywords describe Davide Modolo's research?
The keywords of their largest research topics: Deep Learning, Neural Networks, Action Recognition, Pose Estimation, Image Captioning, Visual Question Answering, Convolutional Neural Networks and Anomaly Detection.
- Generative Adversarial Networks
- Feature Matching
- Domain Adaptation
- Image Recognition
- Object Tracking
- Representation Learning
- Anomaly Detection
- Visual Question Answering
- Pose Estimation
- Neural Networks
- Deep Learning
- Action Recognition
- Image Captioning
- Convolutional Neural Networks
- Unsupervised
- Unsupervised Learning
- Visual Tracking
- Object Detection
- Transfer Learning
- Local Descriptors
- Image Synthesis
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 21 words, with their numbers
- Deep Learning1367 topics
- Neural Networks633 topics
- Action Recognition321 topic
- Pose Estimation321 topic
- Image Captioning311 topic
- Visual Question Answering311 topic
- Convolutional Neural Networks302 topics
- Anomaly Detection251 topic
- Unsupervised251 topic
- Representation Learning192 topics
- Unsupervised Learning192 topics
- Object Tracking171 topic
- Visual Tracking171 topic
- Image Recognition131 topic
- Object Detection131 topic
- Domain Adaptation121 topic
- Transfer Learning121 topic
- Feature Matching111 topic
- Local Descriptors111 topic
- Generative Adversarial Networks71 topic
- Image Synthesis71 topic
Where does Davide Modolo work?
Davide Modolo's main affiliation in the publication record is Amazon (United States), United States.
How many publications and citations does Davide Modolo have?
OpenAlex counts 75 works and 833 citations for Davide Modolo, an h-index of 15, ranking #2,029,333 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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