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Researcher · Koneru Lakshmaiah Education Foundation · India

Shilpa Rani

Shilpa Rani publishes mostly in Computer Vision and Pattern Recognition, Plant Science and Artificial Intelligence, on topics such as Advanced Neural Network Applications, Brain Tumor Detection and Classification and Advanced Image and Video Retrieval Techniques.

OpenAlex
World rank
#364,604
of 7,710,434 ranked researchers
Rank in India
#4,154
of 280,097
Works
40
Citations
1.5k
Citations per work
37.1
h-index
21
i10-index 24Top 12% in Computer Vision and Pattern Recognition
Shilpa Rani

What does Shilpa Rani research?

Shilpa Rani's work is mostly in Computer Science (44%), Agricultural and Biological Sciences (7%), Neuroscience (5%).

Physical Sciences: 20 works · 48.9% of their workComputer Science: 17 works · 43.6% of their workComputer Vision and Pattern Recognition: 15 works · 37.2% of their workArtificial Intelligence: 3 works · 6.4% of their workEngineering: 2 works · 5.3% of their workElectrical and Electronic Engineering: 2 works · 5.3% of their workEverything else: 14 works · 34.1% of their workLife Sciences: 5 works · 12.7% of their workAgricultural and Biological Sciences: 3 works · 7.4% of their workPlant Science: 3 works · 7.4% of their workNeuroscience: 2 works · 5.3% of their workNeurology: 2 works · 5.3% of their workSocial Sciences: 2 works · 4.3% of their workEconomics, Econometrics and Finance: 2 works · 4.3% of their workEconomics and Econometrics: 2 works · 4.3% of their workTHEIR WORKShilpa Rani40works
Life Sciences13%Physical Sciences49%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 Science1743.6%
    2. Engineering25.3%
  2. Everything else1434.1%
    1. Agricultural and Biological Sciences37.4%
    2. Neuroscience25.3%
    1. Economics, Econometrics and Finance24.3%
  1. 1Computer Vision and Pattern Recognition37% of their works
  2. 2Plant Science7% of their works
  3. 3Artificial Intelligence6% of their works
  4. 4Electrical and Electronic Engineering5% of their works
  5. 5Neurology5% of their works
  6. 6Economics and Econometrics4% of their works

Research topics

Which keywords describe Shilpa Rani's research?

The keywords of their largest research topics: Deep Learning, Machine Learning, Convolutional Neural Networks, Image Recognition, Object Detection, Brain Tumor, MRI and Content-Based Image Retrieval.

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 19 words, with their numbers
  1. Deep Learning266 topics
  2. Machine Learning154 topics
  3. Convolutional Neural Networks143 topics
  4. Image Recognition71 topic
  5. Object Detection71 topic
  6. Brain Tumor51 topic
  7. MRI51 topic
  8. Content-Based Image Retrieval41 topic
  9. Feature Matching41 topic
  10. Local Descriptors41 topic
  11. Object Tracking41 topic
  12. Shape Matching41 topic
  13. Visual Tracking41 topic
  14. Agriculture31 topic
  15. Development31 topic
  16. Histopathology Images31 topic
  17. Medical Image Analysis31 topic
  18. Plant Disease Detection31 topic
  19. Smart Farming31 topic

Where does Shilpa Rani work?

Shilpa Rani's main affiliation in the publication record is Koneru Lakshmaiah Education Foundation, India.

How many publications and citations does Shilpa Rani have?

OpenAlex counts 40 works and 1,484 citations for Shilpa Rani, an h-index of 21, ranking #364,604 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.

Other researchers named Shilpa Rani

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