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Researcher · University of Human Development · Iraq

Abdalbasit Mohammed Qadir

Abdalbasit Mohammed Qadir publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, on topics such as Radiomics and Machine Learning in Medical Imaging, AI in cancer detection and Handwritten Text Recognition Techniques.

OpenAlex
World rank
#2,508,337
of 7,710,434 ranked researchers
Rank in Iraq
#1,183
of 9,225
Works
15
Citations
347
Citations per work
23.1
h-index
8
i10-index 8Top 60% in Computer Vision and Pattern Recognition
Abdalbasit Mohammed Qadir

What does Abdalbasit Mohammed Qadir research?

Abdalbasit Mohammed Qadir's work is mostly in Computer Science (59%), Medicine (20%).

Physical Sciences: 9 works · 58.6% of their workComputer Science: 9 works · 58.6% of their workComputer Vision and Pattern Recognition: 4 works · 24.4% of their workArtificial Intelligence: 3 works · 22.0% of their workComputer Networks and Communications: 1 works · 7.3% of their workInformation Systems: 1 works · 4.9% of their workEverything else: 3 works · 21.9% of their workHealth Sciences: 3 works · 19.5% of their workMedicine: 3 works · 19.5% of their workRadiology, Nuclear Medicine and Imaging: 2 works · 14.6% of their workOncology: 1 works · 4.9% of their workTHEIR WORKAbdalbasitMohammed Qadir15works
Physical Sciences59%Health Sciences20%

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 Science958.6%
  2. Everything else321.9%
    1. Medicine319.5%
  1. 1Computer Vision and Pattern Recognition24% of their works
  2. 2Artificial Intelligence22% of their works
  3. 3Radiology, Nuclear Medicine and Imaging15% of their works
  4. 4Computer Networks and Communications7% of their works
  5. 5Oncology5% of their works
  6. 6Information Systems5% of their works

Research topics

Which keywords describe Abdalbasit Mohammed Qadir's research?

The keywords of their largest research topics: Machine Learning, Convolutional Neural Networks, Feature Extraction, Medical Imaging, Deep Learning, Medical Image Analysis, Quantitative Analysis and Radiomics.

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 23 words, with their numbers
  1. Machine Learning115 topics
  2. Convolutional Neural Networks94 topics
  3. Feature Extraction73 topics
  4. Medical Imaging73 topics
  5. Deep Learning63 topics
  6. Medical Image Analysis52 topics
  7. Quantitative Analysis41 topic
  8. Radiomics41 topic
  9. Computer-Aided Detection31 topic
  10. Histopathology Images31 topic
  11. Transfer Learning32 topics
  12. COVID-1921 topic
  13. Chest X-Ray21 topic
  14. Handwriting Recognition21 topic
  15. Leukemia Classification21 topic
  16. Malaria Parasite Detection21 topic
  17. Text Detection21 topic
  18. Brain Tumor11 topic
  19. MRI11 topic
  20. Neural Machine Translation11 topic
  21. Protein11 topic
  22. Statistical Machine Translation11 topic
  23. Subcellular Localization11 topic

Where does Abdalbasit Mohammed Qadir work?

Abdalbasit Mohammed Qadir's main affiliation in the publication record is University of Human Development, Iraq.

How many publications and citations does Abdalbasit Mohammed Qadir have?

OpenAlex counts 15 works and 347 citations for Abdalbasit Mohammed Qadir, an h-index of 8, ranking #2,508,337 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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