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Researcher · Odisha University of Agriculture and Technology · India

Subhalaxmi Das

Subhalaxmi Das publishes mostly in Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Computational Theory and Mathematics, on topics such as COVID-19 diagnosis using AI, AI in cancer detection and Artificial Intelligence in Healthcare.

ORCID 0009-0007-9126-1837 OpenAlex
World rank
#6,341,873
of 7,710,434 ranked researchers
Rank in India
#204,447
of 280,097
Works
49
Citations
250
Citations per work
5.1
h-index
8
i10-index 8Top 69% in Radiology, Nuclear Medicine and Imaging
Subhalaxmi Das

What does Subhalaxmi Das research?

Subhalaxmi Das's work is mostly in Computer Science (26%), Medicine (15%), Health Professions (7%).

Everything else: 24 works · 48.0% of their workPhysical Sciences: 15 works · 30.3% of their workComputer Science: 13 works · 25.6% of their workArtificial Intelligence: 6 works · 13.2% of their workComputational Theory and Mathematics: 3 works · 7.0% of their workComputer Vision and Pattern Recognition: 3 works · 5.4% of their workEngineering: 2 works · 4.7% of their workBiomedical Engineering: 2 works · 4.7% of their workHealth Sciences: 11 works · 21.7% of their workMedicine: 7 works · 14.7% of their workRadiology, Nuclear Medicine and Imaging: 7 works · 14.7% of their workHealth Professions: 3 works · 7.0% of their workHealth Information Management: 3 works · 7.0% of their workTHEIR WORKSubhalaxmi Das49works
Physical Sciences30%Health Sciences22%

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 else2448.0%
    1. Computer Science1325.6%
    2. Engineering24.7%
    1. Medicine714.7%
    2. Health Professions37.0%
  1. 1Radiology, Nuclear Medicine and Imaging15% of their works
  2. 2Artificial Intelligence13% of their works
  3. 3Computational Theory and Mathematics7% of their works
  4. 4Health Information Management7% of their works
  5. 5Computer Vision and Pattern Recognition5% of their works
  6. 6Biomedical Engineering5% of their works

Research topics

Which keywords describe Subhalaxmi Das's research?

The keywords of their largest research topics: Machine Learning, Deep Learning, Convolutional Neural Networks, Medical Imaging, Transfer Learning, Feature Selection, Chest X-Ray and COVID-19.

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 24 words, with their numbers
  1. Machine Learning335 topics
  2. Deep Learning273 topics
  3. Convolutional Neural Networks232 topics
  4. Medical Imaging233 topics
  5. Transfer Learning172 topics
  6. Feature Selection152 topics
  7. COVID-19131 topic
  8. Chest X-Ray131 topic
  9. Data Mining132 topics
  10. Feature Extraction102 topics
  11. Histopathology Images101 topic
  12. Medical Image Analysis101 topic
  13. Big Data Analytics91 topic
  14. Healthcare91 topic
  15. Granular Computing61 topic
  16. Quantitative Analysis61 topic
  17. Radiomics61 topic
  18. Rough Sets61 topic
  19. Association Rules41 topic
  20. Brain Tumor41 topic
  21. Frequent Patterns41 topic
  22. GPS Trajectories41 topic
  23. MRI41 topic
  24. Trajectory Data Mining41 topic

Where does Subhalaxmi Das work?

Subhalaxmi Das's main affiliation in the publication record is Odisha University of Agriculture and Technology, India.

How many publications and citations does Subhalaxmi Das have?

OpenAlex counts 49 works and 250 citations for Subhalaxmi Das, an h-index of 8, ranking #6,341,873 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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