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Researcher · Prince Sultan University · Saudi Arabia

Tanzila Saba

Tanzila Saba publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications, on topics such as AI in cancer detection, IoT and Edge/Fog Computing and Brain Tumor Detection and Classification.

ORCID 0000-0003-3138-3801 OpenAlex
World rank
#7,630
of 7,710,434 ranked researchers
Rank in Saudi Arabia
#20
of 25,688
Works
477
Citations
22k
Citations per work
46.1
h-index
83
i10-index 320Top 0.2% in Computer Vision and Pattern Recognition
Tanzila Saba

What does Tanzila Saba research?

Tanzila Saba's work is mostly in Computer Science (49%), Medicine (6%), Engineering (6%).

Physical Sciences: 261 works · 54.7% of their workComputer Science: 235 works · 49.2% of their workComputer Vision and Pattern Recognition: 121 works · 25.3% of their workArtificial Intelligence: 55 works · 11.5% of their workComputer Networks and Communications: 40 works · 8.4% of their workInformation Systems: 19 works · 4.0% of their workEngineering: 26 works · 5.5% of their workElectrical and Electronic Engineering: 26 works · 5.5% of their workEverything else: 188 works · 39.5% of their workHealth Sciences: 28 works · 5.8% of their workMedicine: 28 works · 5.8% of their workRadiology, Nuclear Medicine and Imaging: 28 works · 5.8% of their workTHEIR WORKTanzila Saba477works
Physical Sciences55%Health Sciences6%

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 Science23549.2%
    2. Engineering265.5%
  2. Everything else18839.5%
    1. Medicine285.8%
  1. 1Computer Vision and Pattern Recognition25% of their works
  2. 2Artificial Intelligence12% of their works
  3. 3Computer Networks and Communications8% of their works
  4. 4Radiology, Nuclear Medicine and Imaging6% of their works
  5. 5Electrical and Electronic Engineering6% of their works
  6. 6Information Systems4% of their works

Research topics

Which keywords describe Tanzila Saba's research?

The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Machine Learning, Medical Image Analysis, Feature Extraction, Medical Imaging, Transfer Learning 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 Learning1835 topics
  2. Convolutional Neural Networks1745 topics
  3. Machine Learning1484 topics
  4. Medical Image Analysis832 topics
  5. Feature Extraction692 topics
  6. Medical Imaging662 topics
  7. Transfer Learning662 topics
  8. Computer-Aided Detection511 topic
  9. Histopathology Images511 topic
  10. Edge Computing391 topic
  11. Internet of Things391 topic
  12. Brain Tumor371 topic
  13. MRI371 topic
  14. Handwriting Recognition351 topic
  15. Text Detection351 topic
  16. Leukemia Classification321 topic
  17. Malaria Parasite Detection321 topic
  18. COVID-19291 topic
  19. Chest X-Ray291 topic
  20. Content-Based Image Retrieval281 topic
  21. Shape Matching281 topic
  22. Image Recognition271 topic
  23. Object Detection271 topic

Where does Tanzila Saba work?

Tanzila Saba's main affiliation in the publication record is Prince Sultan University, Saudi Arabia.

How many publications and citations does Tanzila Saba have?

OpenAlex counts 477 works and 22,004 citations for Tanzila Saba, an h-index of 83, ranking #7,630 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.

Other researchers named Tanzila Saba

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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