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Researcher · Rama Devi Women's University · India

Sailaja Priyadarsini

Sailaja Priyadarsini publishes mostly in Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition and Pollution, on topics such as Recycling and Waste Management Techniques, Microplastics and Plastic Pollution and Brain Tumor Detection and Classification.

ORCID 0000-0001-5325-1338 OpenAlex
World rank
#2,320,502
of 7,710,434 ranked researchers
Rank in India
#42,449
of 280,097
Works
39
Citations
601
Citations per work
15.4
h-index
12
i10-index 12Top 37% in Industrial and Manufacturing Engineering (Environmental Science)
Sailaja Priyadarsini

What does Sailaja Priyadarsini research?

Sailaja Priyadarsini's work is mostly in Environmental Science (24%), Computer Science (18%), Engineering (14%).

Physical Sciences: 22 works · 55.9% of their workEnvironmental Science: 9 works · 23.9% of their workIndustrial and Manufacturing Engineering: 5 works · 13.8% of their workPollution: 4 works · 10.1% of their workComputer Science: 7 works · 18.3% of their workComputer Vision and Pattern Recognition: 5 works · 11.9% of their workArtificial Intelligence: 2 works · 6.4% of their workEngineering: 5 works · 13.7% of their workMechanical Engineering: 3 works · 7.3% of their workElectrical and Electronic Engineering: 2 works · 6.4% of their workEverything else: 17 works · 44.1% of their workTHEIR WORKSailajaPriyadarsini39works
Physical Sciences56%

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. Environmental Science923.9%
    2. Computer Science718.3%
    3. Engineering513.7%
  2. Everything else1744.1%
  1. 1Industrial and Manufacturing Engineering14% of their works
  2. 2Computer Vision and Pattern Recognition12% of their works
  3. 3Pollution10% of their works
  4. 4Mechanical Engineering7% of their works
  5. 5Artificial Intelligence6% of their works
  6. 6Electrical and Electronic Engineering6% of their works

Research topics

Which keywords describe Sailaja Priyadarsini's research?

The keywords of their largest research topics: Recycling, Waste Management, Deep Learning, Environmental Impact, Metal Recovery, Machine Learning, Image Segmentation 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 25 words, with their numbers
  1. Recycling183 topics
  2. Waste Management183 topics
  3. Deep Learning163 topics
  4. Environmental Impact153 topics
  5. Metal Recovery132 topics
  6. Machine Learning122 topics
  7. Image Segmentation102 topics
  8. Medical Image Analysis102 topics
  9. Convolutional Neural Network92 topics
  10. E-Waste81 topic
  11. Environmental Impacts81 topic
  12. Marine Environment71 topic
  13. Microplastics71 topic
  14. Brain Tumor61 topic
  15. Computer-Aided Detection61 topic
  16. Histopathology Images61 topic
  17. MRI61 topic
  18. Battery Recycling51 topic
  19. Lithium-ion Batteries51 topic
  20. Active Contours41 topic
  21. Graph Cuts41 topic
  22. Developing Countries31 topic
  23. Image Fusion31 topic
  24. Multispectral31 topic
  25. Municipal Solid Waste31 topic

Where does Sailaja Priyadarsini work?

Sailaja Priyadarsini's main affiliation in the publication record is Rama Devi Women's University, India.

How many publications and citations does Sailaja Priyadarsini have?

OpenAlex counts 39 works and 601 citations for Sailaja Priyadarsini, an h-index of 12, ranking #2,320,502 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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