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Researcher · Cairo University · Egypt

Amir F. Atiya

Amir F. Atiya publishes mostly in Artificial Intelligence, Control and Systems Engineering and Management Science and Operations Research, on topics such as Neural Networks and Applications, Fault Detection and Control Systems and Stock Market Forecasting Methods.

ORCID 0000-0001-8766-5600 OpenAlex
World rank
#243,080
of 7,710,434 ranked researchers
Rank in Egypt
#616
of 36,277
Works
191
Citations
12k
Citations per work
65.1
h-index
42
i10-index 93Top 1.8% in Artificial Intelligence
Amir F. Atiya

What does Amir F. Atiya research?

Amir F. Atiya's work is mostly in Computer Science (48%), Engineering (10%), Decision Sciences (8%).

Physical Sciences: 110 works · 57.7% of their workComputer Science: 92 works · 48.2% of their workArtificial Intelligence: 64 works · 33.3% of their workComputer Vision and Pattern Recognition: 15 works · 7.9% of their workSignal Processing: 7 works · 3.6% of their workComputer Networks and Communications: 6 works · 3.4% of their workEngineering: 18 works · 9.5% of their workControl and Systems Engineering: 18 works · 9.5% of their workEverything else: 65 works · 33.9% of their workSocial Sciences: 16 works · 8.4% of their workDecision Sciences: 16 works · 8.4% of their workManagement Science and Operations Research: 16 works · 8.4% of their workTHEIR WORKAmir F. Atiya191works
Physical Sciences58%Social 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 Science9248.2%
    2. Engineering189.5%
  2. Everything else6533.9%
    1. Decision Sciences168.4%
  1. 1Artificial Intelligence33% of their works
  2. 2Control and Systems Engineering10% of their works
  3. 3Management Science and Operations Research8% of their works
  4. 4Computer Vision and Pattern Recognition8% of their works
  5. 5Signal Processing4% of their works
  6. 6Computer Networks and Communications3% of their works

Research topics

Which keywords describe Amir F. Atiya's research?

The keywords of their largest research topics: Neural Networks, Deep Learning, Backpropagation Learning, Self-Organizing Maps, Machine Learning, Support Vector Machines, Fault Detection and Process Monitoring.

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. Neural Networks923 topics
  2. Deep Learning772 topics
  3. Backpropagation Learning601 topic
  4. Self-Organizing Maps601 topic
  5. Machine Learning412 topics
  6. Support Vector Machines302 topics
  7. Fault Detection261 topic
  8. Process Monitoring261 topic
  9. Ensemble Methods242 topics
  10. Stock Market Prediction171 topic
  11. Time Series Forecasting171 topic
  12. Forecasting151 topic
  13. Time Series151 topic
  14. Dimensionality Reduction131 topic
  15. Face Recognition131 topic
  16. Classification111 topic
  17. Imbalanced Data111 topic
  18. Differential Evolution101 topic
  19. Parameter Estimation101 topic
  20. Particle Swarm Optimization101 topic
  21. System Identification101 topic

Where does Amir F. Atiya work?

Amir F. Atiya's main affiliation in the publication record is Cairo University, Egypt.

How many publications and citations does Amir F. Atiya have?

OpenAlex counts 191 works and 12,433 citations for Amir F. Atiya, an h-index of 42, ranking #243,080 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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