J. Dheeba
J. Dheeba publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, on topics such as AI in cancer detection, Neural Networks and Applications and Brain Tumor Detection and Classification.
- World rank
- #3,560,043 of 7,710,434 ranked researchers
- Rank in India
- #79,692 of 280,097
- Works
- 45
- Citations
- 760
- Citations per work
- 16.9
What does J. Dheeba research?
J. Dheeba's work is mostly in Computer Science (46%), Medicine (9%), 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 Sciences2250.0%
- Computer Science2146.0%
- Engineering24.0%
- Everything else1737.3%
- Health Sciences48.7%
- Medicine48.7%
- Life Sciences24.0%
- Neuroscience24.0%
- 1Artificial Intelligence25% of their works
- 2Computer Vision and Pattern Recognition14% of their works
- 3Radiology, Nuclear Medicine and Imaging9% of their works
- 4Computer Networks and Communications7% of their works
- 5Media Technology4% of their works
- 6Neurology4% of their works
Research topics
Which keywords describe J. Dheeba's research?
The keywords of their largest research topics: Deep Learning, Machine Learning, Convolutional Neural Networks, Histopathology Images, Medical Image Analysis, Feature Extraction, Medical Imaging and Neural Networks.
- Retinal Disease
- Quantitative Analysis
- Diabetic Retinopathy
- Big Data Analytics
- ALPR
- Brain Tumor
- Neural Networks
- Feature Extraction
- Histopathology Images
- Machine Learning
- Deep Learning
- Convolutional Neural Networks
- Medical Image Analysis
- Medical Imaging
- Self-Organizing Maps
- MRI
- Automatic License Plate Recognition
- Content-Based Image Retrieval
- Healthcare
- Radiomics
- Shape 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 21 words, with their numbers
- Deep Learning325 topics
- Machine Learning295 topics
- Convolutional Neural Networks162 topics
- Histopathology Images121 topic
- Medical Image Analysis121 topic
- Feature Extraction92 topics
- Medical Imaging92 topics
- Neural Networks71 topic
- Self-Organizing Maps71 topic
- Brain Tumor51 topic
- MRI51 topic
- ALPR41 topic
- Automatic License Plate Recognition41 topic
- Big Data Analytics41 topic
- Content-Based Image Retrieval41 topic
- Diabetic Retinopathy41 topic
- Healthcare41 topic
- Quantitative Analysis41 topic
- Radiomics41 topic
- Retinal Disease41 topic
- Shape Matching41 topic
Where does J. Dheeba work?
J. Dheeba's main affiliation in the publication record is Noorul Islam University, India.
How many publications and citations does J. Dheeba have?
OpenAlex counts 45 works and 760 citations for J. Dheeba, an h-index of 10, ranking #3,560,043 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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