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Researcher · Université Larbi Tébessi · Algeria

Akram Bennour

Akram Bennour publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, on topics such as Handwritten Text Recognition Techniques, Image Processing and 3D Reconstruction and COVID-19 diagnosis using AI.

ORCID 0000-0002-3185-8806 OpenAlex
World rank
#732,143
of 7,710,434 ranked researchers
Rank in Algeria
#195
of 10,068
Works
56
Citations
408
Citations per work
7.3
h-index
11
i10-index 13Top 39% in Computer Vision and Pattern Recognition
Akram Bennour

What does Akram Bennour research?

Akram Bennour's work is mostly in Computer Science (52%), Medicine (8%), Engineering (4%).

Physical Sciences: 32 works · 56.5% of their workComputer Science: 29 works · 52.4% of their workComputer Vision and Pattern Recognition: 15 works · 26.9% of their workArtificial Intelligence: 9 works · 15.2% of their workComputer Networks and Communications: 3 works · 5.5% of their workInformation Systems: 3 works · 4.8% of their workEngineering: 2 works · 4.1% of their workMedia Technology: 2 works · 4.1% of their workEverything else: 20 works · 35.2% of their workHealth Sciences: 5 works · 8.3% of their workMedicine: 5 works · 8.3% of their workRadiology, Nuclear Medicine and Imaging: 5 works · 8.3% of their workTHEIR WORKAkram Bennour56works
Physical Sciences56%Health Sciences8%

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 Science2952.4%
    2. Engineering24.1%
  2. Everything else2035.2%
    1. Medicine58.3%
  1. 1Computer Vision and Pattern Recognition27% of their works
  2. 2Artificial Intelligence15% of their works
  3. 3Radiology, Nuclear Medicine and Imaging8% of their works
  4. 4Computer Networks and Communications6% of their works
  5. 5Information Systems5% of their works
  6. 6Media Technology4% of their works

Research topics

Which keywords describe Akram Bennour's research?

The keywords of their largest research topics: Convolutional Neural Networks, Deep Learning, Machine Learning, Handwriting Recognition, Text Detection, Fragmented Objects, Reconstruction 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 19 words, with their numbers
  1. Convolutional Neural Networks243 topics
  2. Deep Learning235 topics
  3. Machine Learning123 topics
  4. Handwriting Recognition111 topic
  5. Text Detection111 topic
  6. Fragmented Objects101 topic
  7. Reconstruction101 topic
  8. COVID-1971 topic
  9. Medical Imaging71 topic
  10. Histopathology Images61 topic
  11. Medical Image Analysis61 topic
  12. Digital Forensics41 topic
  13. Image Forgery Detection41 topic
  14. Intrusion Detection31 topic
  15. Network Security31 topic
  16. Phishing31 topic
  17. Reversible Data Embedding31 topic
  18. Spam Detection31 topic
  19. Steganography31 topic

Where does Akram Bennour work?

Akram Bennour's main affiliation in the publication record is Université Larbi Tébessi, Algeria.

How many publications and citations does Akram Bennour have?

OpenAlex counts 56 works and 408 citations for Akram Bennour, an h-index of 11, ranking #732,143 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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