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Researcher · Electronics Research Institute · Egypt

Alaa M. Elsayad

Alaa M. Elsayad publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology, on topics such as Computational Drug Discovery Methods, AI in cancer detection and Image and Signal Denoising Methods.

ORCID 0000-0001-8053-9759 OpenAlex
World rank
#3,884,912
of 7,710,434 ranked researchers
Rank in Egypt
#13,224
of 36,277
Works
41
Citations
319
Citations per work
7.8
h-index
10
i10-index 11Top 42% in Artificial Intelligence
Alaa M. Elsayad

What does Alaa M. Elsayad research?

Alaa M. Elsayad's work is mostly in Computer Science (49%), Biochemistry, Genetics and Molecular Biology (13%), Health Professions (4%).

Physical Sciences: 20 works · 48.9% of their workComputer Science: 20 works · 48.9% of their workArtificial Intelligence: 8 works · 20.0% of their workComputer Vision and Pattern Recognition: 8 works · 18.9% of their workComputational Theory and Mathematics: 4 works · 10.0% of their workEverything else: 12 works · 29.0% of their workLife Sciences: 5 works · 13.3% of their workBiochemistry, Genetics and Molecular Biology: 5 works · 13.3% of their workMolecular Biology: 5 works · 13.3% of their workHealth Sciences: 4 works · 8.8% of their workHealth Professions: 2 works · 4.4% of their workHealth Information Management: 2 works · 4.4% of their workMedicine: 2 works · 4.4% of their workRadiology, Nuclear Medicine and Imaging: 2 works · 4.4% of their workTHEIR WORKAlaa M. Elsayad41works
Life Sciences13%Physical Sciences49%Health Sciences9%

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 Science2048.9%
  2. Everything else1229.0%
    1. Biochemistry, Genetics and Molecular Biology513.3%
    1. Health Professions24.4%
    2. Medicine24.4%
  1. 1Artificial Intelligence20% of their works
  2. 2Computer Vision and Pattern Recognition19% of their works
  3. 3Molecular Biology13% of their works
  4. 4Computational Theory and Mathematics10% of their works
  5. 5Radiology, Nuclear Medicine and Imaging4% of their works
  6. 6Health Information Management4% of their works

Research topics

Which keywords describe Alaa M. Elsayad's research?

The keywords of their largest research topics: Machine Learning, Deep Learning, Convolutional Neural Networks, Medical Image Analysis, Molecular Docking, Virtual Screening, Computer-Aided Detection and Histopathology Images.

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. Machine Learning224 topics
  2. Deep Learning143 topics
  3. Convolutional Neural Networks112 topics
  4. Medical Image Analysis102 topics
  5. Molecular Docking81 topic
  6. Virtual Screening81 topic
  7. Computer-Aided Detection71 topic
  8. Histopathology Images71 topic
  9. Classification62 topics
  10. Big Data Analytics41 topic
  11. Healthcare41 topic
  12. Image Denoising41 topic
  13. Sparse Representations41 topic
  14. Content-Based Image Retrieval31 topic
  15. Graph Cuts31 topic
  16. Hyperparameter Optimization31 topic
  17. Image Segmentation31 topic
  18. Imbalanced Data31 topic
  19. Noisy Labels31 topic
  20. SMOTE31 topic
  21. Shape Matching31 topic

Where does Alaa M. Elsayad work?

Alaa M. Elsayad's main affiliation in the publication record is Electronics Research Institute, Egypt.

How many publications and citations does Alaa M. Elsayad have?

OpenAlex counts 41 works and 319 citations for Alaa M. Elsayad, an h-index of 10, ranking #3,884,912 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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