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Researcher · Daffodil International University · Bangladesh

Md. Alif Sheakh

Md. Alif Sheakh publishes mostly in Artificial Intelligence, Health Information Management and Radiology, Nuclear Medicine and Imaging, on topics such as Artificial Intelligence in Healthcare, AI in cancer detection and Brain Tumor Detection and Classification.

ORCID 0009-0006-5845-5210 OpenAlex
World rank
#385,550
of 7,710,434 ranked researchers
Rank in Bangladesh
#386
of 14,256
Works
24
Citations
441
Citations per work
18.4
h-index
12
i10-index 15Top 32% in Artificial Intelligence
Md. Alif Sheakh

What does Md. Alif Sheakh research?

Md. Alif Sheakh's work is mostly in Computer Science (40%), Health Professions (16%), Medicine (10%).

Physical Sciences: 10 works · 39.6% of their workComputer Science: 10 works · 39.6% of their workArtificial Intelligence: 8 works · 31.7% of their workComputer Vision and Pattern Recognition: 2 works · 7.9% of their workHealth Sciences: 6 works · 25.4% of their workHealth Professions: 4 works · 15.9% of their workHealth Information Management: 4 works · 15.9% of their workMedicine: 2 works · 9.5% of their workRadiology, Nuclear Medicine and Imaging: 2 works · 9.5% of their workEverything else: 6 works · 25.4% of their workLife Sciences: 2 works · 9.6% of their workAgricultural and Biological Sciences: 1 works · 4.8% of their workPlant Science: 1 works · 4.8% of their workNeuroscience: 1 works · 4.8% of their workNeurology: 1 works · 4.8% of their workTHEIR WORKMd. Alif Sheakh24works
Life Sciences10%Physical Sciences40%Health Sciences25%

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 Science1039.6%
    1. Health Professions415.9%
    2. Medicine29.5%
  3. Everything else625.4%
    1. Agricultural and Biological Sciences14.8%
    2. Neuroscience14.8%
  1. 1Artificial Intelligence32% of their works
  2. 2Health Information Management16% of their works
  3. 3Radiology, Nuclear Medicine and Imaging10% of their works
  4. 4Computer Vision and Pattern Recognition8% of their works
  5. 5Plant Science5% of their works
  6. 6Neurology5% of their works

Research topics

Which keywords describe Md. Alif Sheakh's research?

The keywords of their largest research topics: Machine Learning, Deep Learning, Healthcare, Big Data Analytics, Medical Diagnosis, Medical Image Analysis, Convolutional Neural Networks and Computer-Aided Detection.

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 22 words, with their numbers
  1. Machine Learning235 topics
  2. Deep Learning155 topics
  3. Healthcare122 topics
  4. Big Data Analytics101 topic
  5. Medical Diagnosis101 topic
  6. Medical Image Analysis93 topics
  7. Convolutional Neural Networks72 topics
  8. Computer-Aided Detection51 topic
  9. Feature Extraction52 topics
  10. Histopathology Images51 topic
  11. Brain Tumor31 topic
  12. MRI31 topic
  13. Opinion Mining31 topic
  14. Sentiment Analysis31 topic
  15. Automatic21 topic
  16. Electronic Health Records21 topic
  17. Extraction21 topic
  18. Leukemia Classification21 topic
  19. Malaria Parasite Detection21 topic
  20. Predictive Modeling21 topic
  21. Spine Segmentation21 topic
  22. Vertebrae Detection21 topic

Where does Md. Alif Sheakh work?

Md. Alif Sheakh's main affiliation in the publication record is Daffodil International University, Bangladesh.

How many publications and citations does Md. Alif Sheakh have?

OpenAlex counts 24 works and 441 citations for Md. Alif Sheakh, an h-index of 12, ranking #385,550 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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