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Researcher · Misr International University · Egypt

Ayman M. Nabil

Ayman M. Nabil publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Plant Science, on topics such as Human Pose and Action Recognition, Hand Gesture Recognition Systems and Smart Agriculture and AI.

ORCID 0000-0001-9575-6860 OpenAlex
World rank
#1,409,130
of 7,710,434 ranked researchers
Rank in Egypt
#3,561
of 36,277
Works
31
Citations
794
Citations per work
25.6
h-index
13
i10-index 15Top 28% in Artificial Intelligence
Ayman M. Nabil

What does Ayman M. Nabil research?

Ayman M. Nabil's work is mostly in Computer Science (37%), Engineering (9%), Agricultural and Biological Sciences (4%).

Everything else: 15 works · 49.4% of their workPhysical Sciences: 14 works · 46.1% of their workComputer Science: 12 works · 37.1% of their workArtificial Intelligence: 7 works · 22.5% of their workComputer Vision and Pattern Recognition: 3 works · 10.1% of their workHuman-Computer Interaction: 1 works · 4.5% of their workEngineering: 3 works · 9.0% of their workBiomedical Engineering: 1 works · 4.5% of their workMedia Technology: 1 works · 4.5% of their workLife Sciences: 1 works · 4.5% of their workAgricultural and Biological Sciences: 1 works · 4.5% of their workPlant Science: 1 works · 4.5% of their workTHEIR WORKAyman M. Nabil31works
Life Sciences4%Physical Sciences46%

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. Everything else1549.4%
    1. Computer Science1237.1%
    2. Engineering39.0%
    1. Agricultural and Biological Sciences14.5%
  1. 1Artificial Intelligence22% of their works
  2. 2Computer Vision and Pattern Recognition10% of their works
  3. 3Plant Science4% of their works
  4. 4Human-Computer Interaction4% of their works
  5. 5Biomedical Engineering4% of their works
  6. 6Media Technology4% of their works

Research topics

Which keywords describe Ayman M. Nabil's research?

The keywords of their largest research topics: Deep Learning, Machine Learning, Environmental Monitoring, Action Recognition, Gesture Recognition, Human-Computer Interaction, Pose Estimation and Aquaculture.

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 19 words, with their numbers
  1. Deep Learning165 topics
  2. Machine Learning104 topics
  3. Environmental Monitoring62 topics
  4. Action Recognition41 topic
  5. Gesture Recognition41 topic
  6. Human-Computer Interaction41 topic
  7. Pose Estimation41 topic
  8. Aquaculture31 topic
  9. Opinion Mining31 topic
  10. Plant Disease Detection31 topic
  11. Sentiment Analysis31 topic
  12. Smart Farming31 topic
  13. Water Quality Monitoring31 topic
  14. DNA Sequences21 topic
  15. Differential Evolution21 topic
  16. Genomic Signal Processing21 topic
  17. Histopathology Images21 topic
  18. Medical Image Analysis21 topic
  19. Particle Swarm Optimization21 topic

Where does Ayman M. Nabil work?

Ayman M. Nabil's main affiliation in the publication record is Misr International University, Egypt.

How many publications and citations does Ayman M. Nabil have?

OpenAlex counts 31 works and 794 citations for Ayman M. Nabil, an h-index of 13, ranking #1,409,130 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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