M. Mohamed Sathik
M. Mohamed Sathik publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and General Health Professions, on topics such as Medical Image Segmentation Techniques, Brain Tumor Detection and Classification and Neural Networks and Applications.
- World rank
- #850,983 of 1,633,909 ranked researchers
- Rank in India
- #13,495 of 44,512
- Works
- 20
- Citations
- 30
- Citations per work
- 1.5
What does M. Mohamed Sathik research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Computer Vision and Pattern Recognition20% of their works
- 2Artificial Intelligence20% of their works
- 3General Health Professions10% of their works
- 4Electrical and Electronic Engineering10% of their works
- 5Signal Processing5% of their works
- 6Neurology5% of their works
Research topics
- Medical Image Segmentation Techniques
- Brain Tumor Detection and Classification
- Neural Networks and Applications
- Anomaly Detection Techniques and Applications
- Advanced Clustering Algorithms Research
- Imbalanced Data Classification Techniques
- Handwritten Text Recognition Techniques
- Graph Theory and Algorithms
Which keywords describe M. Mohamed Sathik's research?
The keywords of their largest research topics: Deep Learning, Image Segmentation, Neural Networks, Classification, Graph Cuts, High-Dimensional Data, Medical Image Analysis and Anomaly Detection.
- Text Detection
- SMOTE
- K-means
- Handwriting Recognition
- Graph Matching
- Brain Tumor
- Anomaly Detection
- High-Dimensional Data
- Classification
- Image Segmentation
- Deep Learning
- Neural Networks
- Graph Cuts
- Medical Image Analysis
- Backpropagation Learning
- Clustering Algorithms
- Graph Processing
- Imbalanced Data
- MRI
- Self-Organizing Maps
- Unsupervised
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 21 words, with their numbers
- Deep Learning54 topics
- Image Segmentation32 topics
- Neural Networks33 topics
- Classification22 topics
- Graph Cuts21 topic
- High-Dimensional Data22 topics
- Medical Image Analysis21 topic
- Anomaly Detection11 topic
- Backpropagation Learning11 topic
- Brain Tumor11 topic
- Clustering Algorithms11 topic
- Graph Matching11 topic
- Graph Processing11 topic
- Handwriting Recognition11 topic
- Imbalanced Data11 topic
- K-means11 topic
- MRI11 topic
- SMOTE11 topic
- Self-Organizing Maps11 topic
- Text Detection11 topic
- Unsupervised11 topic
Where does M. Mohamed Sathik work?
M. Mohamed Sathik's main affiliation in the publication record is Manonmaniam Sundaranar University, India.
How many publications and citations does M. Mohamed Sathik have?
Science Explorer counts 20 works and 30 citations for M. Mohamed Sathik, ranking #850,983 of 1,633,909 researchers worldwide on the composite 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 are in the interactive view on the map. Is this your page? Request a correction or removal.