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Researcher · VIT-AP University · ??

B. Naga Jagadesh

B. Naga Jagadesh publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, on topics such as AI in cancer detection, Brain Tumor Detection and Classification and Image Retrieval and Classification Techniques.

ORCID 0000-0003-3402-146X OpenAlex
World rank
#1,752,838
of 7,710,434 ranked researchers
Rank in ??
#2,554
of 21,892
Works
38
Citations
268
Citations per work
7.1
h-index
10
i10-index 10Top 42% in Artificial Intelligence
B. Naga Jagadesh

What does B. Naga Jagadesh research?

B. Naga Jagadesh's work is mostly in Computer Science (40%), Medicine (9%), Neuroscience (7%).

Physical Sciences: 17 works · 45.0% of their workComputer Science: 15 works · 40.0% of their workArtificial Intelligence: 7 works · 18.0% of their workComputer Vision and Pattern Recognition: 6 works · 16.0% of their workComputer Networks and Communications: 2 works · 6.0% of their workEngineering: 2 works · 5.0% of their workElectrical and Electronic Engineering: 2 works · 5.0% of their workEverything else: 15 works · 39.0% of their workHealth Sciences: 3 works · 9.0% of their workMedicine: 3 works · 9.0% of their workRadiology, Nuclear Medicine and Imaging: 3 works · 9.0% of their workLife Sciences: 3 works · 7.0% of their workNeuroscience: 3 works · 7.0% of their workNeurology: 3 works · 7.0% of their workTHEIR WORKB. Naga Jagadesh38works
Life Sciences7%Physical Sciences45%Health Sciences9%

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 Science1540.0%
    2. Engineering25.0%
  2. Everything else1539.0%
    1. Medicine39.0%
    1. Neuroscience37.0%
  1. 1Artificial Intelligence18% of their works
  2. 2Computer Vision and Pattern Recognition16% of their works
  3. 3Radiology, Nuclear Medicine and Imaging9% of their works
  4. 4Neurology7% of their works
  5. 5Computer Networks and Communications6% of their works
  6. 6Electrical and Electronic Engineering5% of their works

Research topics

Which keywords describe B. Naga Jagadesh's research?

The keywords of their largest research topics: Machine Learning, Deep Learning, Medical Image Analysis, Computer-Aided Detection, Feature Extraction, Histopathology Images, Medical Imaging and Image Segmentation.

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. Machine Learning315 topics
  2. Deep Learning244 topics
  3. Medical Image Analysis142 topics
  4. Computer-Aided Detection111 topic
  5. Feature Extraction112 topics
  6. Histopathology Images111 topic
  7. Medical Imaging112 topics
  8. Image Segmentation102 topics
  9. Brain Tumor71 topic
  10. MRI71 topic
  11. Texture Analysis72 topics
  12. Content-Based Image Retrieval61 topic
  13. Shape Matching61 topic
  14. Multivariate Calibration41 topic
  15. Near-Infrared Spectroscopy41 topic
  16. Quantitative Analysis41 topic
  17. Radiomics41 topic
  18. Active Contours31 topic
  19. Graph Cuts31 topic
  20. Melanin31 topic
  21. Pigmentation31 topic
  22. Plant Disease Detection31 topic
  23. Smart Farming31 topic

Where does B. Naga Jagadesh work?

B. Naga Jagadesh's main affiliation in the publication record is VIT-AP University, ??.

How many publications and citations does B. Naga Jagadesh have?

OpenAlex counts 38 works and 268 citations for B. Naga Jagadesh, an h-index of 10, ranking #1,752,838 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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