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Researcher · Nirma University · India

Rupal Kapdi

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

ORCID 0000-0003-1995-4149 OpenAlex
World rank
#4,196,503
of 7,710,434 ranked researchers
Rank in India
#103,051
of 280,097
Works
27
Citations
170
Citations per work
6.3
h-index
7
i10-index 7Top 69% in Computer Vision and Pattern Recognition
Rupal Kapdi

What does Rupal Kapdi research?

Rupal Kapdi's work is mostly in Computer Science (41%), Neuroscience (15%), Medicine (7%).

Physical Sciences: 12 works · 44.6% of their workComputer Science: 11 works · 40.5% of their workComputer Vision and Pattern Recognition: 7 works · 27.0% of their workArtificial Intelligence: 4 works · 13.5% of their workEngineering: 1 works · 4.1% of their workMedia Technology: 1 works · 4.1% of their workEverything else: 8 works · 28.3% of their workLife Sciences: 4 works · 14.9% of their workNeuroscience: 4 works · 14.9% of their workNeurology: 4 works · 14.9% of their workHealth Sciences: 2 works · 6.8% of their workMedicine: 2 works · 6.8% of their workRadiology, Nuclear Medicine and Imaging: 2 works · 6.8% of their workSocial Sciences: 1 works · 5.4% of their workBusiness, Management and Accounting: 1 works · 5.4% of their workMarketing: 1 works · 5.4% of their workTHEIR WORKRupal Kapdi27works
Life Sciences15%Physical Sciences45%Health Sciences7%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 Science1140.5%
    2. Engineering14.1%
  2. Everything else828.3%
    1. Neuroscience414.9%
    1. Medicine26.8%
    1. Business, Management and Accounting15.4%
  1. 1Computer Vision and Pattern Recognition27% of their works
  2. 2Neurology15% of their works
  3. 3Artificial Intelligence14% of their works
  4. 4Radiology, Nuclear Medicine and Imaging7% of their works
  5. 5Marketing5% of their works
  6. 6Media Technology4% of their works

Research topics

Which keywords describe Rupal Kapdi's research?

The keywords of their largest research topics: Deep Learning, Machine Learning, Image Segmentation, Feature Extraction, Medical Imaging, Brain Tumor, 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.

All 24 words, with their numbers
  1. Deep Learning326 topics
  2. Machine Learning193 topics
  3. Image Segmentation172 topics
  4. Feature Extraction142 topics
  5. Medical Imaging142 topics
  6. Brain Tumor111 topic
  7. Convolutional Neural Networks112 topics
  8. MRI111 topic
  9. Medical Image Analysis112 topics
  10. Texture Analysis92 topics
  11. Active Contours61 topic
  12. Graph Cuts61 topic
  13. Image Recognition61 topic
  14. Object Detection61 topic
  15. Computer-Aided Detection51 topic
  16. Histopathology Images51 topic
  17. Quantitative Analysis31 topic
  18. Radiomics31 topic
  19. Collaborative Filtering21 topic
  20. Digital Forensics21 topic
  21. Image Forgery Detection21 topic
  22. Interpretable Models21 topic
  23. Machine Learning Interpretability21 topic
  24. Matrix Factorization21 topic

Where does Rupal Kapdi work?

Rupal Kapdi's main affiliation in the publication record is Nirma University, India.

How many publications and citations does Rupal Kapdi have?

OpenAlex counts 27 works and 170 citations for Rupal Kapdi, an h-index of 7, ranking #4,196,503 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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