Preethi Vaidyanathan
Preethi Vaidyanathan publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Human-Computer Interaction, on topics such as Image Retrieval and Classification Techniques, Advanced Image and Video Retrieval Techniques and Multimodal Machine Learning Applications.
- World rank
- #6,020,724 of 7,710,434 ranked researchers
- Rank in United States
- #1,464,766 of 1,627,098
- Works
- 19
- Citations
- 100
- Citations per work
- 5.3
What does Preethi Vaidyanathan research?
Preethi Vaidyanathan's work is mostly in Computer Science (76%), Biochemistry, Genetics and Molecular Biology (4%), Neuroscience (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 Sciences1476.0%
- Computer Science1476.0%
- Everything else212.0%
- Life Sciences28.0%
- Social Sciences14.0%
- Psychology14.0%
- 1Computer Vision and Pattern Recognition58% of their works
- 2Artificial Intelligence10% of their works
- 3Human-Computer Interaction8% of their works
- 4Experimental and Cognitive Psychology4% of their works
- 5Molecular Biology4% of their works
- 6Cognitive Neuroscience4% of their works
Research topics
- Image Retrieval and Classification Techniques
- Advanced Image and Video Retrieval Techniques
- Multimodal Machine Learning Applications
- Visual Attention and Saliency Detection
- Gaze Tracking and Assistive Technology
- Biomedical Text Mining and Ontologies
- Speech and dialogue systems
- Video Analysis and Summarization
Which keywords describe Preethi Vaidyanathan's research?
The keywords of their largest research topics: Deep Learning, Neural Networks, Content-Based Image Retrieval, Shape Matching, Feature Matching, Image Captioning, Local Descriptors and Visual Question Answering.
- Video Summarization
- Spoken Dialogue Systems
- Content-Based Retrieval
- Gaze Estimation
- Visual Attention
- Visual Question Answering
- Image Captioning
- Shape Matching
- Neural Networks
- Deep Learning
- Content-Based Image Retrieval
- Feature Matching
- Local Descriptors
- Saliency Detection
- Eye Tracking
- Biomedical Ontologies
- Markov Decision Processes
- Text Mining
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 18 words, with their numbers
- Deep Learning163 topics
- Neural Networks102 topics
- Content-Based Image Retrieval91 topic
- Shape Matching91 topic
- Feature Matching61 topic
- Image Captioning61 topic
- Local Descriptors61 topic
- Visual Question Answering61 topic
- Saliency Detection41 topic
- Visual Attention41 topic
- Eye Tracking31 topic
- Gaze Estimation31 topic
- Biomedical Ontologies21 topic
- Content-Based Retrieval21 topic
- Markov Decision Processes21 topic
- Spoken Dialogue Systems21 topic
- Text Mining21 topic
- Video Summarization21 topic
Where does Preethi Vaidyanathan work?
Preethi Vaidyanathan's main affiliation in the publication record is Rochester Institute of Technology, United States.
How many publications and citations does Preethi Vaidyanathan have?
OpenAlex counts 19 works and 100 citations for Preethi Vaidyanathan, an h-index of 6, ranking #6,020,724 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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