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Researcher · Mizan Tepi University · Ethiopia

Assaye Belay

Assaye Belay publishes mostly in Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Public Health, Environmental and Occupational Health, on topics such as COVID-19 diagnosis using AI, Child Nutrition and Water Access and AI in cancer detection.

ORCID 0000-0003-0623-8039 OpenAlex
World rank
#1,916,745
of 7,710,434 ranked researchers
Rank in Ethiopia
#2,400
of 7,423
Works
19
Citations
922
Citations per work
48.5
h-index
10
i10-index 10Top 56% in Radiology, Nuclear Medicine and Imaging
Assaye Belay

What does Assaye Belay research?

Assaye Belay's work is mostly in Medicine (24%), Computer Science (22%).

Everything else: 10 works · 54.0% of their workHealth Sciences: 5 works · 24.0% of their workMedicine: 5 works · 24.0% of their workRadiology, Nuclear Medicine and Imaging: 2 works · 10.0% of their workPublic Health, Environmental and Occupational Health: 2 works · 8.0% of their workEndocrinology, Diabetes and Metabolism: 1 works · 6.0% of their workPhysical Sciences: 4 works · 22.0% of their workComputer Science: 4 works · 22.0% of their workArtificial Intelligence: 2 works · 8.0% of their workComputer Vision and Pattern Recognition: 2 works · 8.0% of their workHuman-Computer Interaction: 1 works · 6.0% of their workTHEIR WORKAssaye Belay19works
Physical Sciences22%Health Sciences24%

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. Everything else1054.0%
    1. Medicine524.0%
    1. Computer Science422.0%
  1. 1Radiology, Nuclear Medicine and Imaging10% of their works
  2. 2Computer Vision and Pattern Recognition8% of their works
  3. 3Public Health, Environmental and Occupational Health8% of their works
  4. 4Artificial Intelligence8% of their works
  5. 5Human-Computer Interaction6% of their works
  6. 6Endocrinology, Diabetes and Metabolism6% of their works

Research topics

Which keywords describe Assaye Belay's research?

The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Real-time Tracking, Child Development, COVID-19, Machine Learning, Maternal and Child Undernutrition 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 20 words, with their numbers
  1. Deep Learning105 topics
  2. Convolutional Neural Networks73 topics
  3. Real-time Tracking42 topics
  4. COVID-1931 topic
  5. Child Development31 topic
  6. Machine Learning32 topics
  7. Maternal and Child Undernutrition31 topic
  8. Medical Imaging31 topic
  9. Child Mortality21 topic
  10. Gesture Recognition21 topic
  11. Histopathology Images21 topic
  12. Human-Computer Interaction21 topic
  13. Maternal Mortality21 topic
  14. Medical Image Analysis21 topic
  15. Obesity21 topic
  16. Object Tracking21 topic
  17. Overweight21 topic
  18. Visual Tracking21 topic
  19. Plant Disease Detection11 topic
  20. Smart Farming11 topic

Where does Assaye Belay work?

Assaye Belay's main affiliation in the publication record is Mizan Tepi University, Ethiopia.

How many publications and citations does Assaye Belay have?

OpenAlex counts 19 works and 922 citations for Assaye Belay, an h-index of 10, ranking #1,916,745 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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