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Researcher · University of Benghazi · Libya

Ahmed O. Lawgali

Ahmed O. Lawgali publishes mostly in Computer Vision and Pattern Recognition, Media Technology and Signal Processing, on topics such as Handwritten Text Recognition Techniques, Vehicle License Plate Recognition and Biometric Identification and Security.

ORCID 0000-0003-0331-3005 OpenAlex
World rank
#4,033,579
of 7,710,434 ranked researchers
Rank in Libya
#130
of 468
Works
28
Citations
301
Citations per work
10.8
h-index
9
i10-index 9Top 52% in Computer Vision and Pattern Recognition
Ahmed O. Lawgali

What does Ahmed O. Lawgali research?

Ahmed O. Lawgali's work is mostly in Computer Science (58%), Engineering (14%), Medicine (7%).

Physical Sciences: 20 works · 71.3% of their workComputer Science: 16 works · 57.6% of their workComputer Vision and Pattern Recognition: 11 works · 38.4% of their workArtificial Intelligence: 3 works · 9.6% of their workSignal Processing: 3 works · 9.6% of their workEngineering: 4 works · 13.7% of their workMedia Technology: 3 works · 11.0% of their workAerospace Engineering: 1 works · 2.7% of their workEverything else: 6 works · 21.9% of their workHealth Sciences: 2 works · 6.8% of their workMedicine: 2 works · 6.8% of their workRadiology, Nuclear Medicine and Imaging: 2 works · 6.8% of their workTHEIR WORKAhmed O. Lawgali28works
Physical Sciences71%Health Sciences7%

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 Science1657.6%
    2. Engineering413.7%
  2. Everything else621.9%
    1. Medicine26.8%
  1. 1Computer Vision and Pattern Recognition38% of their works
  2. 2Media Technology11% of their works
  3. 3Signal Processing10% of their works
  4. 4Artificial Intelligence10% of their works
  5. 5Radiology, Nuclear Medicine and Imaging7% of their works
  6. 6Aerospace Engineering3% of their works

Research topics

Which keywords describe Ahmed O. Lawgali's research?

The keywords of their largest research topics: Convolutional Neural Networks, Deep Learning, Feature Extraction, Handwriting Recognition, Text Detection, Machine Learning, ALPR and Automatic License Plate Recognition.

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. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 21 words, with their numbers
  1. Convolutional Neural Networks254 topics
  2. Deep Learning112 topics
  3. Feature Extraction112 topics
  4. Handwriting Recognition101 topic
  5. Text Detection101 topic
  6. Machine Learning93 topics
  7. ALPR81 topic
  8. Automatic License Plate Recognition81 topic
  9. Biometric Recognition71 topic
  10. Medical Image Analysis72 topics
  11. Security71 topic
  12. Fragmented Objects51 topic
  13. Reconstruction51 topic
  14. Leukemia Classification41 topic
  15. Malaria Parasite Detection41 topic
  16. Computer-Aided Detection31 topic
  17. Histopathology Images31 topic
  18. Content-Based Image Retrieval21 topic
  19. Neural Machine Translation21 topic
  20. Shape Matching21 topic
  21. Statistical Machine Translation21 topic

Where does Ahmed O. Lawgali work?

Ahmed O. Lawgali's main affiliation in the publication record is University of Benghazi, Libya.

How many publications and citations does Ahmed O. Lawgali have?

OpenAlex counts 28 works and 301 citations for Ahmed O. Lawgali, an h-index of 9, ranking #4,033,579 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation 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.

Discussion

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