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Researcher · Al-Quds University · Palestine

Suliman Thwib

Suliman Thwib publishes mostly in General Health Professions, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence, on topics such as Mobile Health and mHealth Applications, Brain Tumor Detection and Classification and AI in cancer detection.

ORCID 0009-0009-5085-3443 OpenAlex
World rank
#1,308,785
of 7,710,434 ranked researchers
Rank in Palestine
#151
of 1,137
Works
15
Citations
122
Citations per work
8.1
h-index
6
i10-index 4Top 67% in General Health Professions
Suliman Thwib

What does Suliman Thwib research?

Suliman Thwib's work is mostly in Medicine (25%), Health Professions (21%), Computer Science (19%).

Health Sciences: 7 works · 45.8% of their workMedicine: 4 works · 25.0% of their workRadiology, Nuclear Medicine and Imaging: 2 works · 14.6% of their workPublic Health, Environmental and Occupational Health: 2 works · 10.4% of their workHealth Professions: 3 works · 20.8% of their workGeneral Health Professions: 3 works · 20.8% of their workEverything else: 4 works · 27.1% of their workPhysical Sciences: 3 works · 18.8% of their workComputer Science: 3 works · 18.8% of their workArtificial Intelligence: 2 works · 12.5% of their workComputer Vision and Pattern Recognition: 1 works · 6.3% of their workLife Sciences: 1 works · 8.3% of their workNeuroscience: 1 works · 8.3% of their workNeurology: 1 works · 8.3% of their workTHEIR WORKSuliman Thwib15works
Life Sciences8%Physical Sciences19%Health Sciences46%

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. Medicine425.0%
    2. Health Professions320.8%
  2. Everything else427.1%
    1. Computer Science318.8%
    1. Neuroscience18.3%
  1. 1General Health Professions21% of their works
  2. 2Radiology, Nuclear Medicine and Imaging15% of their works
  3. 3Artificial Intelligence12% of their works
  4. 4Public Health, Environmental and Occupational Health10% of their works
  5. 5Neurology8% of their works
  6. 6Computer Vision and Pattern Recognition6% of their works

Research topics

Which keywords describe Suliman Thwib's research?

The keywords of their largest research topics: Deep Learning, Machine Learning, Medical Imaging, Convolutional Neural Networks, Chronic Disease Management, Transfer Learning, Feature Extraction and mHealth.

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 23 words, with their numbers
  1. Deep Learning144 topics
  2. Machine Learning113 topics
  3. Medical Imaging113 topics
  4. Convolutional Neural Networks103 topics
  5. Chronic Disease Management82 topics
  6. Transfer Learning82 topics
  7. Feature Extraction72 topics
  8. Mobile Health51 topic
  9. mHealth51 topic
  10. Brain Tumor41 topic
  11. COVID-1941 topic
  12. Chest X-Ray41 topic
  13. Histopathology Images41 topic
  14. MRI41 topic
  15. Medical Image Analysis41 topic
  16. Health Literacy31 topic
  17. Quantitative Analysis31 topic
  18. Radiomics31 topic
  19. eHealth31 topic
  20. Image Recognition21 topic
  21. Ischemic Stroke21 topic
  22. Object Detection21 topic
  23. Thrombolysis21 topic

Where does Suliman Thwib work?

Suliman Thwib's main affiliation in the publication record is Al-Quds University, Palestine.

How many publications and citations does Suliman Thwib have?

OpenAlex counts 15 works and 122 citations for Suliman Thwib, an h-index of 6, ranking #1,308,785 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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