Rajiv Kumar
Rajiv Kumar publishes mostly in Computer Vision and Pattern Recognition, Information Systems and Artificial Intelligence, on topics such as Medical Image Segmentation Techniques, Data Mining Algorithms and Applications and Brain Tumor Detection and Classification.
- World rank
- #4,349,327 of 7,710,434 ranked researchers
- Rank in Botswana
- #550 of 859
- Works
- 36
- Citations
- 224
- Citations per work
- 6.2
What does Rajiv Kumar research?
Rajiv Kumar's work is mostly in Computer Science (60%), Engineering (5%).
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 Sciences2365.0%
- Computer Science2260.0%
- Engineering25.0%
- Everything else1335.0%
- 1Computer Vision and Pattern Recognition25% of their works
- 2Information Systems13% of their works
- 3Artificial Intelligence11% of their works
- 4Computer Networks and Communications6% of their works
- 5Control and Systems Engineering5% of their works
- 6Computational Theory and Mathematics5% of their works
Research topics
- Medical Image Segmentation Techniques
- Data Mining Algorithms and Applications
- Brain Tumor Detection and Classification
- AI in cancer detection
- Rough Sets and Fuzzy Logic
- Image Retrieval and Classification Techniques
- Radiomics and Machine Learning in Medical Imaging
- Advanced Image and Video Retrieval Techniques
Which keywords describe Rajiv Kumar's research?
The keywords of their largest research topics: Machine Learning, Deep Learning, Image Segmentation, Medical Image Analysis, Feature Extraction, Medical Imaging, Active Contours and Data Mining.
- Local Descriptors
- Shape Matching
- Radiomics
- MRI
- Granular Computing
- Computer-Aided Detection
- Graph Cuts
- Data Mining
- Medical Imaging
- Medical Image Analysis
- Deep Learning
- Machine Learning
- Image Segmentation
- Feature Extraction
- Active Contours
- Frequent Patterns
- Brain Tumor
- Content-Based Image Retrieval
- Histopathology Images
- Quantitative Analysis
- Rough Sets
- Feature Matching
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 22 words, with their numbers
- Machine Learning225 topics
- Deep Learning174 topics
- Image Segmentation102 topics
- Medical Image Analysis102 topics
- Feature Extraction82 topics
- Medical Imaging82 topics
- Active Contours61 topic
- Data Mining61 topic
- Frequent Patterns61 topic
- Graph Cuts61 topic
- Brain Tumor41 topic
- Computer-Aided Detection41 topic
- Content-Based Image Retrieval41 topic
- Granular Computing41 topic
- Histopathology Images41 topic
- MRI41 topic
- Quantitative Analysis41 topic
- Radiomics41 topic
- Rough Sets41 topic
- Shape Matching41 topic
- Feature Matching31 topic
- Local Descriptors31 topic
Where does Rajiv Kumar work?
Rajiv Kumar's main affiliation in the publication record is Botho University, Botswana.
How many publications and citations does Rajiv Kumar have?
OpenAlex counts 36 works and 224 citations for Rajiv Kumar, an h-index of 8, ranking #4,349,327 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.
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