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Researcher · GITAM University · India

Chandrakanta Mahanty

Chandrakanta Mahanty publishes mostly in Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, on topics such as AI in cancer detection, COVID-19 diagnosis using AI and Artificial Intelligence in Healthcare.

ORCID 0000-0002-3084-308X OpenAlex
World rank
#468,630
of 7,710,434 ranked researchers
Rank in India
#5,534
of 280,097
Works
52
Citations
695
Citations per work
13.4
h-index
13
i10-index 14Top 28% in Artificial Intelligence
Chandrakanta Mahanty

What does Chandrakanta Mahanty research?

Chandrakanta Mahanty's work is mostly in Computer Science (40%), Medicine (10%), Health Professions (5%).

Physical Sciences: 21 works · 39.9% of their workComputer Science: 21 works · 39.9% of their workArtificial Intelligence: 15 works · 28.6% of their workComputer Vision and Pattern Recognition: 4 works · 6.8% of their workComputer Networks and Communications: 2 works · 4.5% of their workEverything else: 21 works · 39.8% of their workHealth Sciences: 8 works · 15.8% of their workMedicine: 5 works · 10.5% of their workRadiology, Nuclear Medicine and Imaging: 5 works · 10.5% of their workHealth Professions: 3 works · 5.3% of their workHealth Information Management: 3 works · 5.3% of their workLife Sciences: 2 works · 4.5% of their workNeuroscience: 2 works · 4.5% of their workNeurology: 2 works · 4.5% of their workTHEIR WORKChandrakantaMahanty52works
Life Sciences4%Physical Sciences40%Health Sciences16%

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 Science2139.9%
  2. Everything else2139.8%
    1. Medicine510.5%
    2. Health Professions35.3%
    1. Neuroscience24.5%
  1. 1Artificial Intelligence29% of their works
  2. 2Radiology, Nuclear Medicine and Imaging10% of their works
  3. 3Computer Vision and Pattern Recognition7% of their works
  4. 4Health Information Management5% of their works
  5. 5Computer Networks and Communications4% of their works
  6. 6Neurology4% of their works

Research topics

Which keywords describe Chandrakanta Mahanty's research?

The keywords of their largest research topics: Machine Learning, Deep Learning, Convolutional Neural Networks, Medical Imaging, Histopathology Images, Medical Image Analysis, Transfer Learning and Feature Extraction.

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 22 words, with their numbers
  1. Machine Learning365 topics
  2. Deep Learning334 topics
  3. Convolutional Neural Networks242 topics
  4. Medical Imaging183 topics
  5. Histopathology Images161 topic
  6. Medical Image Analysis161 topic
  7. Transfer Learning142 topics
  8. Feature Extraction102 topics
  9. COVID-1981 topic
  10. Chest X-Ray81 topic
  11. Big Data Analytics71 topic
  12. Healthcare71 topic
  13. Brain Tumor61 topic
  14. MRI61 topic
  15. Quantitative Analysis41 topic
  16. Radiomics41 topic
  17. Anomaly Detection31 topic
  18. Differential Evolution31 topic
  19. Educational Data Mining31 topic
  20. Learning Analytics31 topic
  21. Particle Swarm Optimization31 topic
  22. Unsupervised31 topic

Where does Chandrakanta Mahanty work?

Chandrakanta Mahanty's main affiliation in the publication record is GITAM University, India.

How many publications and citations does Chandrakanta Mahanty have?

OpenAlex counts 52 works and 695 citations for Chandrakanta Mahanty, an h-index of 13, ranking #468,630 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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