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Researcher · Assiut University · Egypt

Mohammed M. Abdelsamea

Mohammed M. Abdelsamea publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, on topics such as AI in cancer detection, Medical Image Segmentation Techniques and Radiomics and Machine Learning in Medical Imaging.

ORCID 0000-0002-2728-1127 OpenAlex
World rank
#1,037,943
of 7,710,434 ranked researchers
Rank in Egypt
#2,476
of 36,277
Works
62
Citations
1.4k
Citations per work
23.1
h-index
18
i10-index 25Top 16% in Artificial Intelligence
Mohammed M. Abdelsamea

What does Mohammed M. Abdelsamea research?

Mohammed M. Abdelsamea's work is mostly in Computer Science (55%), Medicine (15%), Biochemistry, Genetics and Molecular Biology (3%).

Physical Sciences: 36 works · 58.1% of their workComputer Science: 34 works · 55.3% of their workArtificial Intelligence: 18 works · 29.3% of their workComputer Vision and Pattern Recognition: 16 works · 26.0% of their workEngineering: 2 works · 2.8% of their workMedia Technology: 2 works · 2.8% of their workEverything else: 14 works · 22.0% of their workHealth Sciences: 9 works · 14.9% of their workMedicine: 9 works · 14.9% of their workRadiology, Nuclear Medicine and Imaging: 9 works · 14.9% of their workLife Sciences: 3 works · 5.0% of their workBiochemistry, Genetics and Molecular Biology: 2 works · 2.8% of their workBiophysics: 2 works · 2.8% of their workNeuroscience: 1 works · 2.2% of their workNeurology: 1 works · 2.2% of their workTHEIR WORKMohammed M.Abdelsamea62works
Life Sciences5%Physical Sciences58%Health Sciences15%

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 Science3455.3%
    2. Engineering22.8%
  2. Everything else1422.0%
    1. Medicine914.9%
    1. Biochemistry, Genetics and Molecular Biology22.8%
    2. Neuroscience12.2%
  1. 1Artificial Intelligence29% of their works
  2. 2Computer Vision and Pattern Recognition26% of their works
  3. 3Radiology, Nuclear Medicine and Imaging15% of their works
  4. 4Media Technology3% of their works
  5. 5Biophysics3% of their works
  6. 6Neurology2% of their works

Research topics

Which keywords describe Mohammed M. Abdelsamea's research?

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

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 24 words, with their numbers
  1. Deep Learning564 topics
  2. Machine Learning554 topics
  3. Medical Image Analysis483 topics
  4. Convolutional Neural Networks433 topics
  5. Texture Analysis292 topics
  6. Computer-Aided Detection251 topic
  7. Histopathology Images251 topic
  8. Medical Imaging242 topics
  9. Feature Extraction222 topics
  10. Transfer Learning162 topics
  11. Graph Cuts151 topic
  12. Image Segmentation151 topic
  13. Quantitative Analysis141 topic
  14. Radiomics141 topic
  15. COVID-19101 topic
  16. Chest X-Ray101 topic
  17. Content-Based Image Retrieval81 topic
  18. Leukemia Classification81 topic
  19. Malaria Parasite Detection81 topic
  20. Shape Matching81 topic
  21. Anomaly Detection61 topic
  22. Domain Adaptation61 topic
  23. Few-Shot Learning61 topic
  24. Unsupervised61 topic

Where does Mohammed M. Abdelsamea work?

Mohammed M. Abdelsamea's main affiliation in the publication record is Assiut University, Egypt.

How many publications and citations does Mohammed M. Abdelsamea have?

OpenAlex counts 62 works and 1,431 citations for Mohammed M. Abdelsamea, an h-index of 18, ranking #1,037,943 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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