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Researcher · Jamia Hamdard · India

Shahab Saquib Sohail

Shahab Saquib Sohail publishes mostly in Artificial Intelligence, Information Systems and Health Informatics, on topics such as Artificial Intelligence in Healthcare and Education, Recommender Systems and Techniques and Sentiment Analysis and Opinion Mining.

ORCID 0000-0002-5944-7371 OpenAlex
World rank
#181,498
of 7,710,434 ranked researchers
Rank in India
#1,909
of 280,097
Works
176
Citations
2.5k
Citations per work
14.2
h-index
28
i10-index 65Top 5.8% in Artificial Intelligence
Shahab Saquib Sohail

What does Shahab Saquib Sohail research?

Shahab Saquib Sohail's work is mostly in Computer Science (40%), Medicine (15%), Social Sciences (4%).

Everything else: 72 works · 40.9% of their workPhysical Sciences: 71 works · 40.3% of their workComputer Science: 71 works · 40.3% of their workArtificial Intelligence: 41 works · 23.4% of their workInformation Systems: 23 works · 12.9% of their workComputer Vision and Pattern Recognition: 7 works · 4.0% of their workHealth Sciences: 27 works · 15.2% of their workMedicine: 27 works · 15.2% of their workHealth Informatics: 18 works · 10.1% of their workRadiology, Nuclear Medicine and Imaging: 9 works · 5.1% of their workSocial Sciences: 6 works · 3.6% of their workSocial Sciences: 6 works · 3.6% of their workSociology and Political Science: 6 works · 3.6% of their workTHEIR WORKShahab SaquibSohail176works
Physical Sciences40%Health Sciences15%Social Sciences4%

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 else7240.9%
    1. Computer Science7140.3%
    1. Medicine2715.2%
    1. Social Sciences63.6%
  1. 1Artificial Intelligence23% of their works
  2. 2Information Systems13% of their works
  3. 3Health Informatics10% of their works
  4. 4Radiology, Nuclear Medicine and Imaging5% of their works
  5. 5Computer Vision and Pattern Recognition4% of their works
  6. 6Sociology and Political Science4% of their works

Research topics

Which keywords describe Shahab Saquib Sohail's research?

The keywords of their largest research topics: Machine Learning, Artificial Intelligence, Medical Imaging, Deep Learning, Healthcare, Clinical Decision Support, Ethical Challenges and Neural Networks.

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 Learning682 topics
  2. Artificial Intelligence632 topics
  3. Medical Imaging632 topics
  4. Deep Learning583 topics
  5. Healthcare582 topics
  6. Clinical Decision Support481 topic
  7. Ethical Challenges481 topic
  8. Neural Networks463 topics
  9. Collaborative Filtering231 topic
  10. Matrix Factorization231 topic
  11. Opinion Mining201 topic
  12. Sentiment Analysis201 topic
  13. COVID-19151 topic
  14. Convolutional Neural Networks151 topic
  15. Machine Translation131 topic
  16. Word Representation131 topic
  17. Automatic101 topic
  18. Blockchain101 topic
  19. Extraction101 topic
  20. Internet of Things101 topic
  21. Interpretable Models91 topic
  22. Machine Learning Interpretability91 topic

Where does Shahab Saquib Sohail work?

Shahab Saquib Sohail's main affiliation in the publication record is Jamia Hamdard, India.

How many publications and citations does Shahab Saquib Sohail have?

OpenAlex counts 176 works and 2,500 citations for Shahab Saquib Sohail, an h-index of 28, ranking #181,498 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.

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