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Researcher · University of Asia Pacific · Bangladesh

Bilkis Jamal Ferdosi

Bilkis Jamal Ferdosi publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, on topics such as Data Visualization and Analytics, Digital Imaging for Blood Diseases and AI in cancer detection.

ORCID 0000-0001-7391-803X OpenAlex
World rank
#4,469,136
of 7,710,434 ranked researchers
Rank in Bangladesh
#7,802
of 14,256
Works
23
Citations
185
Citations per work
8.0
h-index
6
i10-index 5Top 78% in Computer Vision and Pattern Recognition
Bilkis Jamal Ferdosi

What does Bilkis Jamal Ferdosi research?

Bilkis Jamal Ferdosi's work is mostly in Computer Science (53%), Medicine (5%).

Physical Sciences: 12 works · 53.1% of their workComputer Science: 12 works · 53.1% of their workComputer Vision and Pattern Recognition: 7 works · 29.0% of their workArtificial Intelligence: 3 works · 11.3% of their workHuman-Computer Interaction: 1 works · 4.8% of their workSignal Processing: 1 works · 4.8% of their workComputer Networks and Communications: 1 works · 3.2% of their workEverything else: 10 works · 42.1% of their workHealth Sciences: 1 works · 4.8% of their workMedicine: 1 works · 4.8% of their workRadiology, Nuclear Medicine and Imaging: 1 works · 4.8% of their workTHEIR WORKBilkis JamalFerdosi23works
Physical Sciences53%Health Sciences5%

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 Science1253.1%
  2. Everything else1042.1%
    1. Medicine14.8%
  1. 1Computer Vision and Pattern Recognition29% of their works
  2. 2Artificial Intelligence11% of their works
  3. 3Radiology, Nuclear Medicine and Imaging5% of their works
  4. 4Signal Processing5% of their works
  5. 5Human-Computer Interaction5% of their works
  6. 6Computer Networks and Communications3% of their works

Research topics

Which keywords describe Bilkis Jamal Ferdosi's research?

The keywords of their largest research topics: Machine Learning, Deep Learning, Convolutional Neural Networks, Medical Image Analysis, Information Visualization, Visual Analytics, Leukemia Classification and Malaria Parasite 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 20 words, with their numbers
  1. Machine Learning115 topics
  2. Deep Learning84 topics
  3. Convolutional Neural Networks73 topics
  4. Medical Image Analysis52 topics
  5. Information Visualization41 topic
  6. Visual Analytics41 topic
  7. Leukemia Classification31 topic
  8. Malaria Parasite Detection31 topic
  9. Android Malware21 topic
  10. COVID-1921 topic
  11. Computer-Aided Detection21 topic
  12. Content-Based Image Retrieval21 topic
  13. Detection21 topic
  14. Gesture Recognition21 topic
  15. Histopathology Images21 topic
  16. Human-Computer Interaction21 topic
  17. Medical Imaging21 topic
  18. Remote Sensing21 topic
  19. Shape Matching21 topic
  20. Vegetation Monitoring21 topic

Where does Bilkis Jamal Ferdosi work?

Bilkis Jamal Ferdosi's main affiliation in the publication record is University of Asia Pacific, Bangladesh.

How many publications and citations does Bilkis Jamal Ferdosi have?

OpenAlex counts 23 works and 185 citations for Bilkis Jamal Ferdosi, an h-index of 6, ranking #4,469,136 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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