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Researcher · Noorul Islam University · India

J. Rajeesh

J. Rajeesh publishes mostly in Computer Vision and Pattern Recognition, Neurology and Artificial Intelligence, on topics such as Brain Tumor Detection and Classification, Medical Image Segmentation Techniques and AI in cancer detection.

OpenAlex
World rank
#3,577,232
of 7,710,434 ranked researchers
Rank in India
#80,306
of 280,097
Works
19
Citations
322
Citations per work
16.9
h-index
8
i10-index 7Top 60% in Computer Vision and Pattern Recognition
J. Rajeesh

What does J. Rajeesh research?

J. Rajeesh's work is mostly in Computer Science (40%), Neuroscience (17%), Engineering (13%).

Physical Sciences: 10 works · 52.8% of their workComputer Science: 8 works · 39.6% of their workComputer Vision and Pattern Recognition: 6 works · 30.2% of their workArtificial Intelligence: 2 works · 9.4% of their workEngineering: 3 works · 13.2% of their workMedia Technology: 1 works · 7.5% of their workMechanical Engineering: 1 works · 5.7% of their workEverything else: 5 works · 24.5% of their workLife Sciences: 3 works · 17.0% of their workNeuroscience: 3 works · 17.0% of their workNeurology: 3 works · 17.0% of their workHealth Sciences: 1 works · 5.7% of their workMedicine: 1 works · 5.7% of their workRadiology, Nuclear Medicine and Imaging: 1 works · 5.7% of their workTHEIR WORKJ. Rajeesh19works
Life Sciences17%Physical Sciences53%Health Sciences6%

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
    1. Computer Science839.6%
    2. Engineering313.2%
  2. Everything else524.5%
    1. Neuroscience317.0%
    1. Medicine15.7%
  1. 1Computer Vision and Pattern Recognition30% of their works
  2. 2Neurology17% of their works
  3. 3Artificial Intelligence9% of their works
  4. 4Media Technology8% of their works
  5. 5Radiology, Nuclear Medicine and Imaging6% of their works
  6. 6Mechanical Engineering6% of their works

Research topics

Which keywords describe J. Rajeesh's research?

The keywords of their largest research topics: Deep Learning, Image Segmentation, Machine Learning, Convolutional Neural Network, Medical Image Analysis, Feature Extraction, Medical Imaging and Brain Tumor.

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 23 words, with their numbers
  1. Deep Learning214 topics
  2. Image Segmentation152 topics
  3. Machine Learning143 topics
  4. Convolutional Neural Network122 topics
  5. Medical Image Analysis112 topics
  6. Feature Extraction102 topics
  7. Medical Imaging102 topics
  8. Brain Tumor81 topic
  9. MRI81 topic
  10. Active Contours71 topic
  11. Graph Cuts71 topic
  12. Computer-Aided Detection41 topic
  13. Histopathology Images41 topic
  14. Image Fusion41 topic
  15. Multispectral41 topic
  16. Biometric Recognition21 topic
  17. Breast Cancer Detection21 topic
  18. Content-Based Image Retrieval21 topic
  19. Contrast Enhancement21 topic
  20. Dehazing21 topic
  21. Infrared Thermography21 topic
  22. Security21 topic
  23. Shape Matching21 topic

Where does J. Rajeesh work?

J. Rajeesh's main affiliation in the publication record is Noorul Islam University, India.

How many publications and citations does J. Rajeesh have?

OpenAlex counts 19 works and 322 citations for J. Rajeesh, an h-index of 8, ranking #3,577,232 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.

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