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Researcher · ITM University · India

Priyansh Kumar Sharma

Priyansh Kumar Sharma publishes mostly in Computer Vision and Pattern Recognition, Plant Science and Computer Networks and Communications, on topics such as Medical Image Segmentation Techniques, Brain Tumor Detection and Classification and Image Retrieval and Classification Techniques.

OpenAlex
World rank
#5,401,160
of 7,710,434 ranked researchers
Rank in India
#155,861
of 280,097
Works
15
Citations
84
Citations per work
5.6
h-index
3
i10-index 2Top 97% in Computer Vision and Pattern Recognition
Priyansh Kumar Sharma

What does Priyansh Kumar Sharma research?

Priyansh Kumar Sharma's work is mostly in Computer Science (37%), Agricultural and Biological Sciences (12%), Neuroscience (7%).

Physical Sciences: 6 works · 41.5% of their workComputer Science: 5 works · 36.6% of their workComputer Vision and Pattern Recognition: 3 works · 17.1% of their workComputer Networks and Communications: 2 works · 12.2% of their workInformation Systems: 1 works · 7.3% of their workEngineering: 1 works · 4.9% of their workControl and Systems Engineering: 1 works · 4.9% of their workEverything else: 6 works · 39.0% of their workLife Sciences: 3 works · 19.5% of their workAgricultural and Biological Sciences: 2 works · 12.2% of their workPlant Science: 2 works · 12.2% of their workNeuroscience: 1 works · 7.3% of their workNeurology: 1 works · 7.3% of their workTHEIR WORKPriyansh KumarSharma15works
Life Sciences20%Physical Sciences42%

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 Science536.6%
    2. Engineering14.9%
  2. Everything else639.0%
    1. Agricultural and Biological Sciences212.2%
    2. Neuroscience17.3%
  1. 1Computer Vision and Pattern Recognition17% of their works
  2. 2Plant Science12% of their works
  3. 3Computer Networks and Communications12% of their works
  4. 4Information Systems7% of their works
  5. 5Neurology7% of their works
  6. 6Control and Systems Engineering5% of their works

Research topics

Which keywords describe Priyansh Kumar Sharma's research?

The keywords of their largest research topics: Deep Learning, Image Segmentation, Machine Learning, Graph Cuts, Medical Image Analysis, Brain Tumor, MRI and ALPR.

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 21 words, with their numbers
  1. Deep Learning93 topics
  2. Image Segmentation72 topics
  3. Machine Learning52 topics
  4. Graph Cuts41 topic
  5. Medical Image Analysis41 topic
  6. Brain Tumor31 topic
  7. MRI31 topic
  8. ALPR21 topic
  9. Automatic License Plate Recognition21 topic
  10. Climate Change22 topics
  11. Content-Based Image Retrieval21 topic
  12. Shape Matching21 topic
  13. Sustainability22 topics
  14. Agriculture11 topic
  15. Aquaponics11 topic
  16. Development11 topic
  17. Dormancy11 topic
  18. Fruit Trees11 topic
  19. Hydroponics11 topic
  20. Maize Yield11 topic
  21. Nitrogen Uptake11 topic

Where does Priyansh Kumar Sharma work?

Priyansh Kumar Sharma's main affiliation in the publication record is ITM University, India.

How many publications and citations does Priyansh Kumar Sharma have?

OpenAlex counts 15 works and 84 citations for Priyansh Kumar Sharma, an h-index of 3, ranking #5,401,160 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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