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Researcher · University Mohamed Boudiaf of M'sila · Algeria

Bilal Attallah

Bilal Attallah publishes mostly in Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Signal Processing, on topics such as Biometric Identification and Security, Brain Tumor Detection and Classification and Artificial Intelligence in Healthcare.

ORCID 0000-0003-3661-957X OpenAlex
World rank
#3,681,566
of 7,710,434 ranked researchers
Rank in Algeria
#2,151
of 10,068
Works
50
Citations
284
Citations per work
5.7
h-index
10
i10-index 10Top 45% in Computer Vision and Pattern Recognition
Bilal Attallah

What does Bilal Attallah research?

Bilal Attallah's work is mostly in Computer Science (31%), Medicine (18%), Neuroscience (9%).

Physical Sciences: 18 works · 36.8% of their workComputer Science: 15 works · 30.8% of their workComputer Vision and Pattern Recognition: 10 works · 19.5% of their workSignal Processing: 6 works · 11.3% of their workEngineering: 3 works · 6.0% of their workBiomedical Engineering: 3 works · 6.0% of their workEverything else: 14 works · 27.2% of their workHealth Sciences: 14 works · 27.0% of their workMedicine: 9 works · 18.0% of their workRadiology, Nuclear Medicine and Imaging: 9 works · 18.0% of their workHealth Professions: 4 works · 9.0% of their workHealth Information Management: 4 works · 9.0% of their workLife Sciences: 4 works · 9.0% of their workNeuroscience: 4 works · 9.0% of their workNeurology: 4 works · 9.0% of their workTHEIR WORKBilal Attallah50works
Life Sciences9%Physical Sciences37%Health Sciences27%

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 Science1530.8%
    2. Engineering36.0%
  2. Everything else1427.2%
    1. Medicine918.0%
    2. Health Professions49.0%
    1. Neuroscience49.0%
  1. 1Computer Vision and Pattern Recognition20% of their works
  2. 2Radiology, Nuclear Medicine and Imaging18% of their works
  3. 3Signal Processing11% of their works
  4. 4Neurology9% of their works
  5. 5Health Information Management9% of their works
  6. 6Biomedical Engineering6% of their works

Research topics

Which keywords describe Bilal Attallah's research?

The keywords of their largest research topics: Deep Learning, Machine Learning, Feature Extraction, Biometric Recognition, Diabetic Retinopathy, Macular Degeneration, Security and Big Data Analytics.

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 22 words, with their numbers
  1. Deep Learning324 topics
  2. Machine Learning293 topics
  3. Feature Extraction272 topics
  4. Biometric Recognition151 topic
  5. Diabetic Retinopathy152 topics
  6. Macular Degeneration152 topics
  7. Security151 topic
  8. Big Data Analytics121 topic
  9. Brain Tumor121 topic
  10. Healthcare121 topic
  11. MRI121 topic
  12. Convolutional Neural Networks112 topics
  13. Retinal Disease91 topic
  14. Vessel Segmentation91 topic
  15. Image Recognition61 topic
  16. Imaging61 topic
  17. Object Detection61 topic
  18. Oxidative Stress61 topic
  19. PET/CT61 topic
  20. Retinal Pigment Epithelium61 topic
  21. Histopathology Images51 topic
  22. Medical Image Analysis51 topic

Where does Bilal Attallah work?

Bilal Attallah's main affiliation in the publication record is University Mohamed Boudiaf of M'sila, Algeria.

How many publications and citations does Bilal Attallah have?

OpenAlex counts 50 works and 284 citations for Bilal Attallah, an h-index of 10, ranking #3,681,566 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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