S. S. Kumar
S. S. Kumar publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering, on topics such as Medical Image Segmentation Techniques, Brain Tumor Detection and Classification and AI in cancer detection.
- World rank
- #1,544,361 of 7,710,434 ranked researchers
- Rank in India
- #24,590 of 280,097
- Works
- 120
- Citations
- 1.5k
- Citations per work
- 12.2
What does S. S. Kumar research?
S. S. Kumar's work is mostly in Computer Science (30%), Engineering (13%), Medicine (8%).
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 Sciences5243.2%
- Computer Science3630.4%
- Engineering1512.8%
- Everything else5041.9%
- Health Sciences108.2%
- Medicine108.2%
- Life Sciences86.7%
- Neuroscience86.7%
- 1Computer Vision and Pattern Recognition21% of their works
- 2Artificial Intelligence9% of their works
- 3Electrical and Electronic Engineering8% of their works
- 4Radiology, Nuclear Medicine and Imaging8% of their works
- 5Neurology7% of their works
- 6Mechanical Engineering4% of their works
Research topics
Which keywords describe S. S. Kumar's research?
The keywords of their largest research topics: Deep Learning, Machine Learning, Image Segmentation, Medical Image Analysis, Texture Analysis, Feature Extraction, Medical Imaging and Classification.
- Brain-Computer Interfaces
- Multispectral
- Image Fusion
- Arrhythmia Detection
- Quantitative Analysis
- Histopathology Images
- MRI
- Graph Cuts
- Convolutional Neural Networks
- Classification
- Feature Extraction
- Medical Image Analysis
- Machine Learning
- Deep Learning
- Image Segmentation
- Texture Analysis
- Medical Imaging
- Convolutional Neural Network
- Active Contours
- Brain Tumor
- Computer-Aided Detection
- Wavelet Transform
- Radiomics
- ECG Signal
- Image Recognition
- Object Detection
- EEG 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 27 words, with their numbers
- Deep Learning825 topics
- Machine Learning543 topics
- Image Segmentation462 topics
- Medical Image Analysis442 topics
- Texture Analysis362 topics
- Feature Extraction342 topics
- Medical Imaging342 topics
- Classification302 topics
- Convolutional Neural Network302 topics
- Convolutional Neural Networks282 topics
- Active Contours241 topic
- Graph Cuts241 topic
- Brain Tumor221 topic
- MRI221 topic
- Computer-Aided Detection201 topic
- Histopathology Images201 topic
- Wavelet Transform162 topics
- Quantitative Analysis121 topic
- Radiomics121 topic
- Arrhythmia Detection81 topic
- ECG Signal81 topic
- Image Fusion81 topic
- Image Recognition81 topic
- Multispectral81 topic
- Object Detection81 topic
- Brain-Computer Interfaces71 topic
- EEG Analysis71 topic
Where does S. S. Kumar work?
S. S. Kumar's main affiliation in the publication record is Noorul Islam University, India.
How many publications and citations does S. S. Kumar have?
OpenAlex counts 120 works and 1,468 citations for S. S. Kumar, an h-index of 22, ranking #1,544,361 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.
Discussion
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