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Researcher · Robert Gordon University · United Kingdom

Eyad Elyan

Eyad Elyan publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering, on topics such as Machine Learning and Data Classification, Handwritten Text Recognition Techniques and AI in cancer detection.

ORCID 0000-0002-8342-9026 OpenAlex
World rank
#333,668
of 7,710,434 ranked researchers
Rank in United Kingdom
#29,692
of 367,258
Works
131
Citations
5.3k
Citations per work
40.5
h-index
32
i10-index 58Top 4.3% in Computer Vision and Pattern Recognition
Eyad Elyan

What does Eyad Elyan research?

Eyad Elyan's work is mostly in Computer Science (56%), Engineering (7%), Medicine (3%).

Physical Sciences: 82 works · 62.8% of their workComputer Science: 74 works · 56.2% of their workComputer Vision and Pattern Recognition: 43 works · 33.2% of their workArtificial Intelligence: 26 works · 19.8% of their workSignal Processing: 4 works · 3.2% of their workEngineering: 9 works · 6.6% of their workElectrical and Electronic Engineering: 5 works · 4.0% of their workOcean Engineering: 3 works · 2.6% of their workEverything else: 45 works · 34.3% of their workHealth Sciences: 4 works · 2.9% of their workMedicine: 4 works · 2.9% of their workRadiology, Nuclear Medicine and Imaging: 4 works · 2.9% of their workTHEIR WORKEyad Elyan131works
Physical Sciences63%Health Sciences3%

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 Science7456.2%
    2. Engineering96.6%
  2. Everything else4534.3%
    1. Medicine42.9%
  1. 1Computer Vision and Pattern Recognition33% of their works
  2. 2Artificial Intelligence20% of their works
  3. 3Electrical and Electronic Engineering4% of their works
  4. 4Signal Processing3% of their works
  5. 5Radiology, Nuclear Medicine and Imaging3% of their works
  6. 6Ocean Engineering3% of their works

Research topics

Which keywords describe Eyad Elyan's research?

The keywords of their largest research topics: Convolutional Neural Networks, Deep Learning, Classification, Neural Networks, Ensemble Methods, Face Recognition, Handwriting Recognition and Hyperparameter Optimization.

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 22 words, with their numbers
  1. Convolutional Neural Networks363 topics
  2. Deep Learning343 topics
  3. Classification252 topics
  4. Neural Networks242 topics
  5. Ensemble Methods232 topics
  6. Face Recognition222 topics
  7. Handwriting Recognition131 topic
  8. Hyperparameter Optimization131 topic
  9. Noisy Labels131 topic
  10. Text Detection131 topic
  11. Histopathology Images121 topic
  12. Imbalanced Data121 topic
  13. Medical Image Analysis121 topic
  14. SMOTE121 topic
  15. Age Estimation111 topic
  16. Anomaly Detection111 topic
  17. Dimensionality Reduction111 topic
  18. Facial Landmark Detection111 topic
  19. Feature Selection111 topic
  20. Fragmented Objects111 topic
  21. Reconstruction111 topic
  22. Unsupervised111 topic

Where does Eyad Elyan work?

Eyad Elyan's main affiliation in the publication record is Robert Gordon University, United Kingdom.

How many publications and citations does Eyad Elyan have?

OpenAlex counts 131 works and 5,304 citations for Eyad Elyan, an h-index of 32, ranking #333,668 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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