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Researcher · Zagazig University · Egypt

Mohamed Abd Elaziz

Mohamed Abd Elaziz publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, on topics such as Metaheuristic Optimization Algorithms Research, Advanced Multi-Objective Optimization Algorithms and Evolutionary Algorithms and Applications.

ORCID 0000-0002-7682-6269 OpenAlex
World rank
#2,653
of 7,710,434 ranked researchers
Rank in Egypt
#3
of 36,277
Works
560
Citations
34k
Citations per work
60.7
h-index
90
i10-index 360Top 0.1% in Artificial Intelligence
Mohamed Abd Elaziz

What does Mohamed Abd Elaziz research?

Mohamed Abd Elaziz's work is mostly in Computer Science (43%), Engineering (9%).

Physical Sciences: 288 works · 51.5% of their workComputer Science: 239 works · 42.6% of their workArtificial Intelligence: 132 works · 23.6% of their workComputer Vision and Pattern Recognition: 57 works · 10.2% of their workComputational Theory and Mathematics: 25 works · 4.4% of their workComputer Networks and Communications: 25 works · 4.4% of their workEngineering: 50 works · 8.9% of their workElectrical and Electronic Engineering: 29 works · 5.1% of their workMechanical Engineering: 21 works · 3.8% of their workEverything else: 272 works · 48.5% of their workTHEIR WORKMohamed AbdElaziz560works
Physical Sciences51%

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 Science23942.6%
    2. Engineering508.9%
  2. Everything else27248.5%
  1. 1Artificial Intelligence24% of their works
  2. 2Computer Vision and Pattern Recognition10% of their works
  3. 3Electrical and Electronic Engineering5% of their works
  4. 4Computational Theory and Mathematics4% of their works
  5. 5Computer Networks and Communications4% of their works
  6. 6Mechanical Engineering4% of their works

Research topics

Which keywords describe Mohamed Abd Elaziz's research?

The keywords of their largest research topics: Evolutionary Algorithms, Particle Swarm Optimization, Ant Colony Optimization, Differential Evolution, Multiobjective Optimization, Deep Learning, Machine Learning and Genetic Algorithm.

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. Evolutionary Algorithms2473 topics
  2. Particle Swarm Optimization1992 topics
  3. Ant Colony Optimization1461 topic
  4. Differential Evolution1461 topic
  5. Multiobjective Optimization1012 topics
  6. Deep Learning843 topics
  7. Machine Learning802 topics
  8. Genetic Algorithm531 topic
  9. Surrogate Modeling531 topic
  10. Classification481 topic
  11. Genetic Programming481 topic
  12. Forecasting321 topic
  13. Solar Radiation321 topic
  14. Image Segmentation311 topic
  15. Medical Image Analysis311 topic
  16. Edge Computing291 topic
  17. Internet of Things291 topic
  18. Feature Matching241 topic
  19. Local Descriptors241 topic
  20. Big Data211 topic
  21. Cloud Computing211 topic

Where does Mohamed Abd Elaziz work?

Mohamed Abd Elaziz's main affiliation in the publication record is Zagazig University, Egypt.

How many publications and citations does Mohamed Abd Elaziz have?

OpenAlex counts 560 works and 33,980 citations for Mohamed Abd Elaziz, an h-index of 90, ranking #2,653 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.

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