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Researcher · St. John's University · United States

Syed Ahmad Chan Bukhari

Syed Ahmad Chan Bukhari publishes mostly in Artificial Intelligence, Molecular Biology and Information Systems, on topics such as Biomedical Text Mining and Ontologies, Semantic Web and Ontologies and Artificial Intelligence in Healthcare.

ORCID 0000-0002-6517-5261 OpenAlex
World rank
#655,120
of 7,710,434 ranked researchers
Rank in United States
#222,936
of 1,627,098
Works
96
Citations
2.9k
Citations per work
30.1
h-index
24
i10-index 36Top 8.5% in Artificial Intelligence
Syed Ahmad Chan Bukhari

What does Syed Ahmad Chan Bukhari research?

Syed Ahmad Chan Bukhari's work is mostly in Computer Science (26%), Biochemistry, Genetics and Molecular Biology (14%), Medicine (6%).

Everything else: 47 works · 49.2% of their workPhysical Sciences: 25 works · 26.2% of their workComputer Science: 25 works · 26.2% of their workArtificial Intelligence: 21 works · 21.5% of their workInformation Systems: 5 works · 4.7% of their workLife Sciences: 13 works · 13.7% of their workBiochemistry, Genetics and Molecular Biology: 13 works · 13.7% of their workMolecular Biology: 13 works · 13.7% of their workHealth Sciences: 10 works · 10.9% of their workMedicine: 6 works · 6.2% of their workRadiology, Nuclear Medicine and Imaging: 3 works · 3.5% of their workOncology: 3 works · 2.7% of their workHealth Professions: 5 works · 4.7% of their workHealth Information Management: 5 works · 4.7% of their workTHEIR WORKSyed Ahmad ChanBukhari96works
Life Sciences14%Physical Sciences26%Health Sciences11%

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 else4749.2%
    1. Computer Science2526.2%
    1. Biochemistry, Genetics and Molecular Biology1313.7%
    1. Medicine66.2%
    2. Health Professions54.7%
  1. 1Artificial Intelligence22% of their works
  2. 2Molecular Biology14% of their works
  3. 3Information Systems5% of their works
  4. 4Health Information Management5% of their works
  5. 5Radiology, Nuclear Medicine and Imaging4% of their works
  6. 6Oncology3% of their works

Research topics

Which keywords describe Syed Ahmad Chan Bukhari's research?

The keywords of their largest research topics: Data Integration, Semantic Web, Machine Learning, Healthcare, Biomedical Ontologies, Text Mining, Precision Medicine and Linked Data.

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 24 words, with their numbers
  1. Data Integration422 topics
  2. Semantic Web422 topics
  3. Machine Learning274 topics
  4. Healthcare263 topics
  5. Biomedical Ontologies231 topic
  6. Text Mining231 topic
  7. Precision Medicine213 topics
  8. Linked Data191 topic
  9. Ontology191 topic
  10. Deep Learning142 topics
  11. Predictive Modeling142 topics
  12. Medical Imaging122 topics
  13. Big Data Analytics101 topic
  14. Medical Diagnosis101 topic
  15. Electronic Health Records91 topic
  16. Patient Similarity91 topic
  17. Neural Networks81 topic
  18. Word Representation81 topic
  19. Artificial Intelligence71 topic
  20. Clinical Decision Support71 topic
  21. Histopathology Images51 topic
  22. Medical Image Analysis51 topic
  23. Quantitative Analysis51 topic
  24. Radiomics51 topic

Where does Syed Ahmad Chan Bukhari work?

Syed Ahmad Chan Bukhari's main affiliation in the publication record is St. John's University, United States.

How many publications and citations does Syed Ahmad Chan Bukhari have?

OpenAlex counts 96 works and 2,894 citations for Syed Ahmad Chan Bukhari, an h-index of 24, ranking #655,120 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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