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Researcher · Bennett University · India

Shiv Naresh Shivhare

Shiv Naresh Shivhare publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Neurology, on topics such as Brain Tumor Detection and Classification, Advanced Neural Network Applications and Medical Image Segmentation Techniques.

ORCID 0000-0002-6306-1113 OpenAlex
World rank
#3,008,435
of 7,710,434 ranked researchers
Rank in India
#61,718
of 280,097
Works
33
Citations
343
Citations per work
10.4
h-index
10
i10-index 10Top 42% in Artificial Intelligence
Shiv Naresh Shivhare

What does Shiv Naresh Shivhare research?

Shiv Naresh Shivhare's work is mostly in Computer Science (51%), Neuroscience (15%), Psychology (4%).

Physical Sciences: 18 works · 53.3% of their workComputer Science: 17 works · 51.1% of their workArtificial Intelligence: 9 works · 27.2% of their workComputer Vision and Pattern Recognition: 8 works · 23.9% of their workEngineering: 1 works · 2.2% of their workBiomedical Engineering: 1 works · 2.2% of their workEverything else: 8 works · 25.0% of their workLife Sciences: 6 works · 17.4% of their workNeuroscience: 5 works · 15.2% of their workNeurology: 5 works · 15.2% of their workAgricultural and Biological Sciences: 1 works · 2.2% of their workPlant Science: 1 works · 2.2% of their workSocial Sciences: 1 works · 4.3% of their workPsychology: 1 works · 4.3% of their workExperimental and Cognitive Psychology: 1 works · 4.3% of their workTHEIR WORKShiv NareshShivhare33works
Life Sciences17%Physical Sciences53%Social Sciences4%

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 Science1751.1%
    2. Engineering12.2%
  2. Everything else825.0%
    1. Neuroscience515.2%
    2. Agricultural and Biological Sciences12.2%
    1. Psychology14.3%
  1. 1Artificial Intelligence27% of their works
  2. 2Computer Vision and Pattern Recognition24% of their works
  3. 3Neurology15% of their works
  4. 4Experimental and Cognitive Psychology4% of their works
  5. 5Plant Science2% of their works
  6. 6Biomedical Engineering2% of their works

Research topics

Which keywords describe Shiv Naresh Shivhare's research?

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

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 Learning406 topics
  2. Image Segmentation212 topics
  3. Machine Learning213 topics
  4. Feature Extraction182 topics
  5. Brain Tumor141 topic
  6. MRI141 topic
  7. Convolutional Neural Networks112 topics
  8. Medical Image Analysis102 topics
  9. Emotion Recognition82 topics
  10. Image Recognition81 topic
  11. Object Detection81 topic
  12. Active Contours71 topic
  13. Graph Cuts71 topic
  14. Automatic61 topic
  15. Extraction61 topic
  16. Facial Expression41 topic
  17. Multimodal Data41 topic
  18. Opinion Mining41 topic
  19. Sentiment Analysis41 topic
  20. Computer-Aided Detection31 topic
  21. Histopathology Images31 topic
  22. Multi-label Learning31 topic
  23. Text Classification31 topic

Where does Shiv Naresh Shivhare work?

Shiv Naresh Shivhare's main affiliation in the publication record is Bennett University, India.

How many publications and citations does Shiv Naresh Shivhare have?

OpenAlex counts 33 works and 343 citations for Shiv Naresh Shivhare, an h-index of 10, ranking #3,008,435 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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