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Researcher · Symbiosis International University · India

Nilkanth Mukund Deshpande

Nilkanth Mukund Deshpande publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Plant Science, on topics such as Digital Imaging for Blood Diseases, AI in cancer detection and Explainable Artificial Intelligence (XAI).

ORCID 0000-0001-7264-1729 OpenAlex
World rank
#4,336,730
of 7,710,434 ranked researchers
Rank in India
#108,621
of 280,097
Works
27
Citations
192
Citations per work
7.1
h-index
8
i10-index 7Top 56% in Artificial Intelligence
Nilkanth Mukund Deshpande

What does Nilkanth Mukund Deshpande research?

Nilkanth Mukund Deshpande's work is mostly in Computer Science (55%), Agricultural and Biological Sciences (7%), Biochemistry, Genetics and Molecular Biology (5%).

Physical Sciences: 15 works · 55.2% of their workComputer Science: 15 works · 55.2% of their workArtificial Intelligence: 8 works · 28.9% of their workComputer Vision and Pattern Recognition: 7 works · 26.3% of their workEverything else: 6 works · 22.3% of their workLife Sciences: 5 works · 17.2% of their workAgricultural and Biological Sciences: 2 works · 6.6% of their workPlant Science: 2 works · 6.6% of their workBiochemistry, Genetics and Molecular Biology: 1 works · 5.3% of their workBiophysics: 1 works · 5.3% of their workNeuroscience: 1 works · 5.3% of their workNeurology: 1 works · 5.3% of their workSocial Sciences: 1 works · 5.3% of their workDecision Sciences: 1 works · 5.3% of their workManagement Science and Operations Research: 1 works · 5.3% of their workTHEIR WORKNilkanth MukundDeshpande27works
Life Sciences17%Physical Sciences55%Social Sciences5%

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 Science1555.2%
  2. Everything else622.3%
    1. Agricultural and Biological Sciences26.6%
    2. Biochemistry, Genetics and Molecular Biology15.3%
    3. Neuroscience15.3%
    1. Decision Sciences15.3%
  1. 1Artificial Intelligence29% of their works
  2. 2Computer Vision and Pattern Recognition26% of their works
  3. 3Plant Science7% of their works
  4. 4Management Science and Operations Research5% of their works
  5. 5Neurology5% of their works
  6. 6Biophysics5% of their works

Research topics

Which keywords describe Nilkanth Mukund Deshpande's research?

The keywords of their largest research topics: Machine Learning, Deep Learning, Convolutional Neural Networks, Medical Image Analysis, Image Processing, Feature Extraction, Leukemia Classification and Malaria Parasite Detection.

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.

All 25 words, with their numbers
  1. Machine Learning366 topics
  2. Deep Learning255 topics
  3. Convolutional Neural Networks222 topics
  4. Medical Image Analysis222 topics
  5. Image Processing203 topics
  6. Feature Extraction162 topics
  7. Leukemia Classification121 topic
  8. Malaria Parasite Detection121 topic
  9. Computer-Aided Detection101 topic
  10. Histopathology Images101 topic
  11. Medical Imaging62 topics
  12. Healthcare52 topics
  13. Interpretable Models51 topic
  14. Machine Learning Interpretability51 topic
  15. Precision Medicine52 topics
  16. Bioimage Analysis41 topic
  17. Brain Tumor41 topic
  18. High-Content Screening41 topic
  19. MRI41 topic
  20. Plant Disease Detection41 topic
  21. Smart Farming41 topic
  22. Electronic Health Records31 topic
  23. Predictive Modeling31 topic
  24. Artificial Intelligence21 topic
  25. Clinical Decision Support21 topic

Where does Nilkanth Mukund Deshpande work?

Nilkanth Mukund Deshpande's main affiliation in the publication record is Symbiosis International University, India.

How many publications and citations does Nilkanth Mukund Deshpande have?

OpenAlex counts 27 works and 192 citations for Nilkanth Mukund Deshpande, an h-index of 8, ranking #4,336,730 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised 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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