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Researcher · Nitte University · India

Navaneeth Bhaskar

Navaneeth Bhaskar publishes mostly in Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Plant Science, on topics such as Smart Agriculture and AI, Radiomics and Machine Learning in Medical Imaging and Brain Tumor Detection and Classification.

ORCID 0000-0002-5176-0347 OpenAlex
World rank
#2,461,403
of 7,710,434 ranked researchers
Rank in India
#46,133
of 280,097
Works
52
Citations
422
Citations per work
8.1
h-index
11
i10-index 11Top 56% in Biomedical Engineering
Navaneeth Bhaskar

What does Navaneeth Bhaskar research?

Navaneeth Bhaskar's work is mostly in Engineering (12%), Medicine (10%), Agricultural and Biological Sciences (9%).

Everything else: 28 works · 54.2% of their workPhysical Sciences: 9 works · 17.8% of their workEngineering: 6 works · 11.6% of their workBiomedical Engineering: 6 works · 11.6% of their workComputer Science: 3 works · 6.2% of their workComputer Vision and Pattern Recognition: 3 works · 6.2% of their workHealth Sciences: 7 works · 14.0% of their workMedicine: 5 works · 10.1% of their workRadiology, Nuclear Medicine and Imaging: 5 works · 10.1% of their workHealth Professions: 2 works · 3.9% of their workHealth Information Management: 2 works · 3.9% of their workLife Sciences: 7 works · 14.0% of their workAgricultural and Biological Sciences: 5 works · 9.3% of their workPlant Science: 5 works · 9.3% of their workNeuroscience: 2 works · 4.7% of their workNeurology: 2 works · 4.7% of their workTHEIR WORKNavaneeth Bhaskar52works
Life Sciences14%Physical Sciences18%Health Sciences14%

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. Everything else2854.2%
    1. Engineering611.6%
    2. Computer Science36.2%
    1. Medicine510.1%
    2. Health Professions23.9%
    1. Agricultural and Biological Sciences59.3%
    2. Neuroscience24.7%
  1. 1Biomedical Engineering12% of their works
  2. 2Radiology, Nuclear Medicine and Imaging10% of their works
  3. 3Plant Science9% of their works
  4. 4Computer Vision and Pattern Recognition6% of their works
  5. 5Neurology5% of their works
  6. 6Health Information Management4% of their works

Research topics

Which keywords describe Navaneeth Bhaskar's research?

The keywords of their largest research topics: Machine Learning, Deep Learning, Feature Extraction, Medical Imaging, Plant Disease Detection, Quantitative Analysis, Radiomics and Smart Farming.

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 20 words, with their numbers
  1. Machine Learning285 topics
  2. Deep Learning163 topics
  3. Feature Extraction132 topics
  4. Medical Imaging132 topics
  5. Plant Disease Detection71 topic
  6. Quantitative Analysis71 topic
  7. Radiomics71 topic
  8. Smart Farming71 topic
  9. Brain Tumor61 topic
  10. Breath Analysis61 topic
  11. Electronic Nose61 topic
  12. MRI61 topic
  13. Big Data Analytics51 topic
  14. Healthcare51 topic
  15. Grafting31 topic
  16. Histopathology Images31 topic
  17. Infrared Spectroscopy31 topic
  18. Medical Image Analysis31 topic
  19. Raman Spectroscopy31 topic
  20. Soilborne Pathogens31 topic

Where does Navaneeth Bhaskar work?

Navaneeth Bhaskar's main affiliation in the publication record is Nitte University, India.

How many publications and citations does Navaneeth Bhaskar have?

OpenAlex counts 52 works and 422 citations for Navaneeth Bhaskar, an h-index of 11, ranking #2,461,403 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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