P. Subashini
P. Subashini publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications, on topics such as Image and Signal Denoising Methods, Face and Expression Recognition and AI in cancer detection.
- World rank
- #6,228,195 of 7,710,434 ranked researchers
- Rank in India
- #198,393 of 280,097
- Works
- 134
- Citations
- 562
- Citations per work
- 4.2
What does P. Subashini research?
P. Subashini's work is mostly in Computer Science (42%), Engineering (8%), Psychology (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 Sciences6850.8%
- Computer Science5742.4%
- Engineering118.4%
- Everything else6145.6%
- Social Sciences53.6%
- Psychology53.6%
- 1Computer Vision and Pattern Recognition22% of their works
- 2Artificial Intelligence15% of their works
- 3Computer Networks and Communications5% of their works
- 4Media Technology4% of their works
- 5Aerospace Engineering4% of their works
- 6Experimental and Cognitive Psychology4% of their works
Research topics
Which keywords describe P. Subashini's research?
The keywords of their largest research topics: Convolutional Neural Networks, Deep Learning, Hyperspectral Imaging, Local Binary Patterns, Image Denoising, Machine Learning, Sparse Representations and Dimensionality Reduction.
- Shape Matching
- Multivariate Calibration
- Deep Neural Networks
- Acoustic Modeling
- Medical Image Analysis
- Differential Evolution
- Dimensionality Reduction
- Machine Learning
- Local Binary Patterns
- Deep Learning
- Convolutional Neural Networks
- Hyperspectral Imaging
- Image Denoising
- Sparse Representations
- Face Recognition
- Histopathology Images
- Particle Swarm Optimization
- Content-Based Image Retrieval
- Handwriting Recognition
- Near-Infrared Spectroscopy
- Text Detection
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
- Convolutional Neural Networks394 topics
- Deep Learning252 topics
- Hyperspectral Imaging232 topics
- Local Binary Patterns202 topics
- Image Denoising161 topic
- Machine Learning162 topics
- Sparse Representations161 topic
- Dimensionality Reduction131 topic
- Face Recognition131 topic
- Differential Evolution91 topic
- Histopathology Images91 topic
- Medical Image Analysis91 topic
- Particle Swarm Optimization91 topic
- Acoustic Modeling71 topic
- Content-Based Image Retrieval71 topic
- Deep Neural Networks71 topic
- Handwriting Recognition71 topic
- Multivariate Calibration71 topic
- Near-Infrared Spectroscopy71 topic
- Shape Matching71 topic
- Text Detection71 topic
Where does P. Subashini work?
P. Subashini's main affiliation in the publication record is Avinashilingam University, India.
How many publications and citations does P. Subashini have?
OpenAlex counts 134 works and 562 citations for P. Subashini, an h-index of 12, ranking #6,228,195 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.
Discussion
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