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Researcher · Vignan's Foundation for Science, Technology & Research · India

Jyostna Devi Bodapati

Jyostna Devi Bodapati publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, on topics such as Brain Tumor Detection and Classification, Advanced Neural Network Applications and Retinal Imaging and Analysis.

ORCID 0000-0002-5185-882X OpenAlex
World rank
#835,662
of 7,710,434 ranked researchers
Rank in India
#11,221
of 280,097
Works
62
Citations
1.2k
Citations per work
19.0
h-index
17
i10-index 23Top 18% in Computer Vision and Pattern Recognition
Jyostna Devi Bodapati

What does Jyostna Devi Bodapati research?

Jyostna Devi Bodapati's work is mostly in Computer Science (47%), Medicine (18%), Neuroscience (7%).

Physical Sciences: 29 works · 46.6% of their workComputer Science: 29 works · 46.6% of their workComputer Vision and Pattern Recognition: 17 works · 27.0% of their workArtificial Intelligence: 12 works · 19.6% of their workEverything else: 15 works · 24.0% of their workHealth Sciences: 14 works · 22.7% of their workMedicine: 11 works · 18.4% of their workRadiology, Nuclear Medicine and Imaging: 9 works · 14.1% of their workOphthalmology: 3 works · 4.3% of their workHealth Professions: 3 works · 4.3% of their workHealth Information Management: 3 works · 4.3% of their workLife Sciences: 4 works · 6.7% of their workNeuroscience: 4 works · 6.7% of their workNeurology: 4 works · 6.7% of their workTHEIR WORKJyostna DeviBodapati62works
Life Sciences7%Physical Sciences47%Health Sciences23%

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 Science2946.6%
  2. Everything else1524.0%
    1. Medicine1118.4%
    2. Health Professions34.3%
    1. Neuroscience46.7%
  1. 1Computer Vision and Pattern Recognition27% of their works
  2. 2Artificial Intelligence20% of their works
  3. 3Radiology, Nuclear Medicine and Imaging14% of their works
  4. 4Neurology7% of their works
  5. 5Health Information Management4% of their works
  6. 6Ophthalmology4% of their works

Research topics

Which keywords describe Jyostna Devi Bodapati's research?

The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Machine Learning, Medical Imaging, Transfer Learning, Feature Extraction, Diabetic Retinopathy and Macular Degeneration.

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 24 words, with their numbers
  1. Deep Learning475 topics
  2. Convolutional Neural Networks324 topics
  3. Machine Learning253 topics
  4. Medical Imaging202 topics
  5. Transfer Learning202 topics
  6. Feature Extraction182 topics
  7. Diabetic Retinopathy162 topics
  8. Macular Degeneration162 topics
  9. Brain Tumor111 topic
  10. Image Recognition111 topic
  11. MRI111 topic
  12. Object Detection111 topic
  13. Retinal Disease111 topic
  14. Vessel Segmentation111 topic
  15. COVID-1991 topic
  16. Chest X-Ray91 topic
  17. Big Data Analytics71 topic
  18. Healthcare71 topic
  19. Leukemia Classification71 topic
  20. Malaria Parasite Detection71 topic
  21. Face Recognition51 topic
  22. Facial Landmark Detection51 topic
  23. Oxidative Stress51 topic
  24. Retinal Pigment Epithelium51 topic

Where does Jyostna Devi Bodapati work?

Jyostna Devi Bodapati's main affiliation in the publication record is Vignan's Foundation for Science, Technology & Research, India.

How many publications and citations does Jyostna Devi Bodapati have?

OpenAlex counts 62 works and 1,181 citations for Jyostna Devi Bodapati, an h-index of 17, ranking #835,662 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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