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Researcher · National Institute of Technology Calicut · India

P. N. Pournami

P. N. Pournami publishes mostly in Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering, on topics such as AI in cancer detection, Advanced Image and Video Retrieval Techniques and Advanced Neural Network Applications.

ORCID 0000-0002-8846-2044 OpenAlex
World rank
#4,592,931
of 7,710,434 ranked researchers
Rank in India
#119,190
of 280,097
Works
39
Citations
278
Citations per work
7.1
h-index
7
i10-index 6Top 69% in Computer Vision and Pattern Recognition
P. N. Pournami

What does P. N. Pournami research?

P. N. Pournami's work is mostly in Computer Science (37%), Medicine (9%), Engineering (8%).

Physical Sciences: 19 works · 48.7% of their workComputer Science: 14 works · 36.7% of their workComputer Vision and Pattern Recognition: 12 works · 29.9% of their workArtificial Intelligence: 3 works · 6.8% of their workEngineering: 3 works · 7.7% of their workBiomedical Engineering: 3 works · 7.7% of their workPhysics and Astronomy: 2 works · 4.3% of their workRadiation: 2 works · 4.3% of their workEverything else: 15 works · 37.7% of their workHealth Sciences: 3 works · 8.5% of their workMedicine: 3 works · 8.5% of their workRadiology, Nuclear Medicine and Imaging: 3 works · 8.5% of their workLife Sciences: 2 works · 5.1% of their workBiochemistry, Genetics and Molecular Biology: 2 works · 5.1% of their workMolecular Biology: 2 works · 5.1% of their workTHEIR WORKP. N. Pournami39works
Life Sciences5%Physical Sciences49%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 Science1436.7%
    2. Engineering37.7%
    3. Physics and Astronomy24.3%
  2. Everything else1537.7%
    1. Medicine38.5%
    1. Biochemistry, Genetics and Molecular Biology25.1%
  1. 1Computer Vision and Pattern Recognition30% of their works
  2. 2Radiology, Nuclear Medicine and Imaging8% of their works
  3. 3Biomedical Engineering8% of their works
  4. 4Artificial Intelligence7% of their works
  5. 5Molecular Biology5% of their works
  6. 6Radiation4% of their works

Research topics

Which keywords describe P. N. Pournami's research?

The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Machine Learning, Medical Image Analysis, Medical Imaging, Generative Adversarial Networks, Neural Networks and Texture 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.

All 24 words, with their numbers
  1. Deep Learning296 topics
  2. Convolutional Neural Networks112 topics
  3. Machine Learning112 topics
  4. Medical Image Analysis102 topics
  5. Medical Imaging102 topics
  6. Generative Adversarial Networks92 topics
  7. Neural Networks92 topics
  8. Texture Analysis92 topics
  9. Computer-Aided Detection61 topic
  10. Histopathology Images61 topic
  11. Dosimetry51 topic
  12. Feature Matching51 topic
  13. Image51 topic
  14. Image Recognition51 topic
  15. Local Descriptors51 topic
  16. Object Detection51 topic
  17. Quantitative Analysis51 topic
  18. Radiomics51 topic
  19. Radiotherapy Physics51 topic
  20. Super-Resolution51 topic
  21. Graph Cuts41 topic
  22. Image Inpainting41 topic
  23. Image Segmentation41 topic
  24. Image Synthesis41 topic

Where does P. N. Pournami work?

P. N. Pournami's main affiliation in the publication record is National Institute of Technology Calicut, India.

How many publications and citations does P. N. Pournami have?

OpenAlex counts 39 works and 278 citations for P. N. Pournami, an h-index of 7, ranking #4,592,931 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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