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Researcher · Alliance University · India

Rekha R Nair

Rekha R Nair publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, on topics such as AI in cancer detection, COVID-19 diagnosis using AI and Smart Agriculture and AI.

ORCID 0000-0002-7207-2877 OpenAlex
World rank
#612,891
of 7,710,434 ranked researchers
Rank in India
#7,594
of 280,097
Works
193
Citations
1.4k
Citations per work
7.0
h-index
18
i10-index 45Top 16% in Artificial Intelligence
Rekha R Nair

What does Rekha R Nair research?

Rekha R Nair's work is mostly in Computer Science (33%), Medicine (7%), Engineering (5%).

Everything else: 99 works · 51.5% of their workPhysical Sciences: 73 works · 37.7% of their workComputer Science: 64 works · 33.0% of their workArtificial Intelligence: 31 works · 16.2% of their workComputer Vision and Pattern Recognition: 27 works · 14.1% of their workComputer Networks and Communications: 5 works · 2.7% of their workEngineering: 9 works · 4.7% of their workMedia Technology: 9 works · 4.7% of their workHealth Sciences: 13 works · 6.7% of their workMedicine: 13 works · 6.7% of their workRadiology, Nuclear Medicine and Imaging: 13 works · 6.7% of their workLife Sciences: 8 works · 4.1% of their workAgricultural and Biological Sciences: 8 works · 4.1% of their workPlant Science: 8 works · 4.1% of their workTHEIR WORKRekha R Nair193works
Life Sciences4%Physical Sciences38%Health Sciences7%

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. Everything else9951.5%
    1. Computer Science6433.0%
    2. Engineering94.7%
    1. Medicine136.7%
    1. Agricultural and Biological Sciences84.1%
  1. 1Artificial Intelligence16% of their works
  2. 2Computer Vision and Pattern Recognition14% of their works
  3. 3Radiology, Nuclear Medicine and Imaging7% of their works
  4. 4Media Technology5% of their works
  5. 5Plant Science4% of their works
  6. 6Computer Networks and Communications3% of their works

Research topics

Which keywords describe Rekha R Nair's research?

The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Machine Learning, Wavelet Transform, Medical Imaging, Transfer Learning, Convolutional Neural Network and Chest X-Ray.

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 23 words, with their numbers
  1. Deep Learning776 topics
  2. Convolutional Neural Networks554 topics
  3. Machine Learning484 topics
  4. Wavelet Transform252 topics
  5. Medical Imaging232 topics
  6. Transfer Learning232 topics
  7. Convolutional Neural Network212 topics
  8. COVID-19151 topic
  9. Chest X-Ray151 topic
  10. Histopathology Images151 topic
  11. Medical Image Analysis151 topic
  12. Plant Disease Detection141 topic
  13. Smart Farming141 topic
  14. Image Fusion131 topic
  15. Image Recognition131 topic
  16. Multispectral131 topic
  17. Object Detection131 topic
  18. Image Denoising121 topic
  19. Sparse Representations121 topic
  20. Big Data Analytics111 topic
  21. Healthcare111 topic
  22. Brain Tumor81 topic
  23. MRI81 topic

Where does Rekha R Nair work?

Rekha R Nair's main affiliation in the publication record is Alliance University, India.

How many publications and citations does Rekha R Nair have?

OpenAlex counts 193 works and 1,358 citations for Rekha R Nair, an h-index of 18, ranking #612,891 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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