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Researcher · Qatar University · Qatar

Tawsifur Rahman

Tawsifur Rahman publishes mostly in Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Cardiology and Cardiovascular Medicine, on topics such as COVID-19 diagnosis using AI, Radiomics and Machine Learning in Medical Imaging and AI in cancer detection.

ORCID 0000-0002-6938-6496 OpenAlex
World rank
#104,761
of 7,710,434 ranked researchers
Rank in Qatar
#93
of 3,423
Works
65
Citations
6.7k
Citations per work
102.7
h-index
29
i10-index 43Top 10% in Radiology, Nuclear Medicine and Imaging
Tawsifur Rahman

What does Tawsifur Rahman research?

Tawsifur Rahman's work is mostly in Medicine (37%), Computer Science (10%), Engineering (6%).

Everything else: 28 works · 43.0% of their workHealth Sciences: 24 works · 37.2% of their workMedicine: 24 works · 37.2% of their workRadiology, Nuclear Medicine and Imaging: 18 works · 27.1% of their workCardiology and Cardiovascular Medicine: 4 works · 6.4% of their workInfectious Diseases: 2 works · 3.7% of their workPhysical Sciences: 10 works · 15.5% of their workComputer Science: 6 works · 9.6% of their workArtificial Intelligence: 6 works · 9.6% of their workEngineering: 4 works · 5.9% of their workBiomedical Engineering: 4 works · 5.9% of their workLife Sciences: 3 works · 4.3% of their workAgricultural and Biological Sciences: 3 works · 4.3% of their workPlant Science: 3 works · 4.3% of their workTHEIR WORKTawsifur Rahman65works
Life Sciences4%Physical Sciences15%Health Sciences37%

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 else2843.0%
    1. Medicine2437.2%
    1. Computer Science69.6%
    2. Engineering45.9%
    1. Agricultural and Biological Sciences34.3%
  1. 1Radiology, Nuclear Medicine and Imaging27% of their works
  2. 2Artificial Intelligence10% of their works
  3. 3Cardiology and Cardiovascular Medicine6% of their works
  4. 4Biomedical Engineering6% of their works
  5. 5Plant Science4% of their works
  6. 6Infectious Diseases4% of their works

Research topics

Which keywords describe Tawsifur Rahman's research?

The keywords of their largest research topics: Deep Learning, Medical Imaging, Convolutional Neural Networks, Artificial Intelligence, Machine Learning, Chest X-Ray, COVID-19 and Precision Medicine.

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 26 words, with their numbers
  1. Deep Learning504 topics
  2. Medical Imaging503 topics
  3. Convolutional Neural Networks433 topics
  4. Artificial Intelligence352 topics
  5. Machine Learning354 topics
  6. COVID-19291 topic
  7. Chest X-Ray291 topic
  8. Precision Medicine273 topics
  9. Predictive Modeling212 topics
  10. Feature Extraction202 topics
  11. Quantitative Analysis151 topic
  12. Radiomics151 topic
  13. Medical Image Analysis142 topics
  14. Healthcare122 topics
  15. Computer-Aided Detection91 topic
  16. Histopathology Images91 topic
  17. Arrhythmia Detection61 topic
  18. Clinical Characteristics61 topic
  19. Clinical Decision Support61 topic
  20. ECG Signal61 topic
  21. Electronic Health Records61 topic
  22. Ethical Challenges61 topic
  23. Patient Similarity61 topic
  24. SARS-CoV-261 topic
  25. Leukemia Classification51 topic
  26. Malaria Parasite Detection51 topic

Where does Tawsifur Rahman work?

Tawsifur Rahman's main affiliation in the publication record is Qatar University, Qatar.

How many publications and citations does Tawsifur Rahman have?

OpenAlex counts 65 works and 6,676 citations for Tawsifur Rahman, an h-index of 29, ranking #104,761 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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