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Researcher · DAV University · India

Pooja Sharma

Pooja Sharma publishes mostly in Computer Vision and Pattern Recognition, Media Technology and Sociology and Political Science, on topics such as Image Retrieval and Classification Techniques, Advanced Image and Video Retrieval Techniques and Image and Signal Denoising Methods.

ORCID 0000-0001-7492-2436 OpenAlex
World rank
#5,477,661
of 7,710,434 ranked researchers
Rank in India
#159,656
of 280,097
Works
30
Citations
76
Citations per work
2.5
h-index
6
i10-index 3Top 78% in Computer Vision and Pattern Recognition
Pooja Sharma

What does Pooja Sharma research?

Pooja Sharma's work is mostly in Computer Science (55%), Engineering (7%), Agricultural and Biological Sciences (4%).

Physical Sciences: 18 works · 61.1% of their workComputer Science: 16 works · 54.6% of their workComputer Vision and Pattern Recognition: 14 works · 46.8% of their workArtificial Intelligence: 1 works · 3.9% of their workInformation Systems: 1 works · 3.9% of their workEngineering: 2 works · 6.5% of their workMedia Technology: 2 works · 6.5% of their workEverything else: 9 works · 31.1% of their workLife Sciences: 1 works · 3.9% of their workAgricultural and Biological Sciences: 1 works · 3.9% of their workPlant Science: 1 works · 3.9% of their workSocial Sciences: 1 works · 3.9% of their workSocial Sciences: 1 works · 3.9% of their workSociology and Political Science: 1 works · 3.9% of their workTHEIR WORKPooja Sharma30works
Life Sciences4%Physical Sciences61%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 Science1654.6%
    2. Engineering26.5%
  2. Everything else931.1%
    1. Agricultural and Biological Sciences13.9%
    1. Social Sciences13.9%
  1. 1Computer Vision and Pattern Recognition47% of their works
  2. 2Media Technology6% of their works
  3. 3Sociology and Political Science4% of their works
  4. 4Plant Science4% of their works
  5. 5Artificial Intelligence4% of their works
  6. 6Information Systems4% of their works

Research topics

Which keywords describe Pooja Sharma's research?

The keywords of their largest research topics: Deep Learning, Local Binary Patterns, Machine Learning, Content-Based Image Retrieval, Shape Matching, Feature Matching, Local Descriptors and Convolutional Neural Networks.

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 20 words, with their numbers
  1. Deep Learning165 topics
  2. Local Binary Patterns102 topics
  3. Machine Learning92 topics
  4. Content-Based Image Retrieval71 topic
  5. Shape Matching71 topic
  6. Feature Matching61 topic
  7. Local Descriptors61 topic
  8. Convolutional Neural Networks52 topics
  9. Dimensionality Reduction31 topic
  10. Face Recognition31 topic
  11. Image Denoising31 topic
  12. Image Segmentation31 topic
  13. Medical Image Analysis31 topic
  14. Sparse Representations31 topic
  15. Chaos21 topic
  16. Image Encryption21 topic
  17. Object Tracking21 topic
  18. Plant Disease Detection21 topic
  19. Smart Farming21 topic
  20. Visual Tracking21 topic

Where does Pooja Sharma work?

Pooja Sharma's main affiliation in the publication record is DAV University, India.

How many publications and citations does Pooja Sharma have?

OpenAlex counts 30 works and 76 citations for Pooja Sharma, an h-index of 6, ranking #5,477,661 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 Pooja Sharma

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