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Researcher · Amrita Vishwa Vidyapeetham · India

Arrun Sivasubramanian

Arrun Sivasubramanian publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Oncology, on topics such as AI in cancer detection, Advanced Neural Network Applications and Medical Image Segmentation Techniques.

ORCID 0000-0002-0604-2397 OpenAlex
World rank
#2,446,516
of 7,710,434 ranked researchers
Rank in India
#45,741
of 280,097
Works
16
Citations
149
Citations per work
9.3
h-index
6
i10-index 6Top 78% in Computer Vision and Pattern Recognition
Arrun Sivasubramanian

What does Arrun Sivasubramanian research?

Arrun Sivasubramanian's work is mostly in Computer Science (37%), Biochemistry, Genetics and Molecular Biology (9%), Medicine (9%).

Physical Sciences: 7 works · 41.3% of their workComputer Science: 6 works · 37.0% of their workComputer Vision and Pattern Recognition: 4 works · 26.1% of their workArtificial Intelligence: 2 works · 10.9% of their workEngineering: 1 works · 4.3% of their workCivil and Structural Engineering: 1 works · 4.3% of their workEverything else: 6 works · 37.0% of their workLife Sciences: 2 works · 13.0% of their workBiochemistry, Genetics and Molecular Biology: 1 works · 8.7% of their workMolecular Biology: 1 works · 8.7% of their workAgricultural and Biological Sciences: 1 works · 4.3% of their workPlant Science: 1 works · 4.3% of their workHealth Sciences: 1 works · 8.7% of their workMedicine: 1 works · 8.7% of their workOncology: 1 works · 8.7% of their workTHEIR WORKArrunSivasubramanian16works
Life Sciences13%Physical Sciences41%Health Sciences9%

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 Science637.0%
    2. Engineering14.3%
  2. Everything else637.0%
    1. Biochemistry, Genetics and Molecular Biology18.7%
    2. Agricultural and Biological Sciences14.3%
    1. Medicine18.7%
  1. 1Computer Vision and Pattern Recognition26% of their works
  2. 2Artificial Intelligence11% of their works
  3. 3Oncology9% of their works
  4. 4Molecular Biology9% of their works
  5. 5Civil and Structural Engineering4% of their works
  6. 6Plant Science4% of their works

Research topics

Which keywords describe Arrun Sivasubramanian's research?

The keywords of their largest research topics: Deep Learning, Machine Learning, Remote Sensing, Convolutional Neural Networks, Medical Image Analysis, Feature Extraction, Texture Analysis and Computer-Aided Detection.

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 23 words, with their numbers
  1. Deep Learning115 topics
  2. Machine Learning73 topics
  3. Remote Sensing63 topics
  4. Convolutional Neural Networks52 topics
  5. Medical Image Analysis52 topics
  6. Feature Extraction42 topics
  7. Texture Analysis42 topics
  8. Computer-Aided Detection31 topic
  9. Histopathology Images31 topic
  10. Dermoscopy21 topic
  11. Geohazards21 topic
  12. Graph Cuts21 topic
  13. Hyperspectral21 topic
  14. Hyperspectral Imaging21 topic
  15. Image Analysis21 topic
  16. Image Recognition21 topic
  17. Image Segmentation21 topic
  18. Medical Imaging21 topic
  19. Melanoma21 topic
  20. Object Detection21 topic
  21. Phenology21 topic
  22. Radiomics21 topic
  23. Vegetation Monitoring21 topic

Where does Arrun Sivasubramanian work?

Arrun Sivasubramanian's main affiliation in the publication record is Amrita Vishwa Vidyapeetham, India.

How many publications and citations does Arrun Sivasubramanian have?

OpenAlex counts 16 works and 149 citations for Arrun Sivasubramanian, an h-index of 6, ranking #2,446,516 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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