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Researcher · St. Francis College · United States

Ashrafur Rahman Nabil

Ashrafur Rahman Nabil publishes mostly in Artificial Intelligence, Management Information Systems and Strategy and Management, on topics such as Big Data and Business Intelligence, Supply Chain Resilience and Risk Management and Digital Transformation in Industry.

ORCID 0009-0005-1540-1266 OpenAlex
World rank
#2,142,496
of 7,710,434 ranked researchers
Rank in United States
#645,018
of 1,627,098
Works
18
Citations
76
Citations per work
4.2
h-index
5
i10-index 2Top 82% in Artificial Intelligence
Ashrafur Rahman Nabil

What does Ashrafur Rahman Nabil research?

Ashrafur Rahman Nabil's work is mostly in Business, Management and Accounting (24%), Computer Science (18%), Engineering (5%).

Everything else: 8 works · 42.0% of their workSocial Sciences: 5 works · 29.0% of their workBusiness, Management and Accounting: 4 works · 23.7% of their workManagement Information Systems: 3 works · 15.8% of their workStrategy and Management: 1 works · 7.9% of their workSocial Sciences: 1 works · 5.3% of their workSafety Research: 1 works · 5.3% of their workPhysical Sciences: 4 works · 23.7% of their workComputer Science: 3 works · 18.4% of their workArtificial Intelligence: 3 works · 18.4% of their workEngineering: 1 works · 5.3% of their workIndustrial and Manufacturing Engineering: 1 works · 5.3% of their workHealth Sciences: 1 works · 5.3% of their workHealth Professions: 1 works · 5.3% of their workHealth Information Management: 1 works · 5.3% of their workTHEIR WORKAshrafur RahmanNabil18works
Physical Sciences24%Health Sciences5%Social Sciences29%

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 else842.0%
    1. Business, Management and Accounting423.7%
    2. Social Sciences15.3%
    1. Computer Science318.4%
    2. Engineering15.3%
    1. Health Professions15.3%
  1. 1Artificial Intelligence18% of their works
  2. 2Management Information Systems16% of their works
  3. 3Strategy and Management8% of their works
  4. 4Safety Research5% of their works
  5. 5Industrial and Manufacturing Engineering5% of their works
  6. 6Health Information Management5% of their works

Research topics

Which keywords describe Ashrafur Rahman Nabil's research?

The keywords of their largest research topics: Big Data, Supply Chain Management, Sustainability, Machine Learning, Analytics, Business Intelligence, Risk Management and Artificial Intelligence.

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 24 words, with their numbers
  1. Big Data114 topics
  2. Supply Chain Management93 topics
  3. Sustainability72 topics
  4. Machine Learning63 topics
  5. Analytics51 topic
  6. Business Intelligence51 topic
  7. Risk Management52 topics
  8. Artificial Intelligence42 topics
  9. Healthcare42 topics
  10. Disruption Mitigation31 topic
  11. Supply Chain Resilience31 topic
  12. Surveillance32 topics
  13. Big Data Analytics21 topic
  14. Clinical Decision Support21 topic
  15. Construction Projects21 topic
  16. Digital Twin21 topic
  17. Ethics21 topic
  18. Fairness21 topic
  19. Medical Diagnosis21 topic
  20. Medical Imaging21 topic
  21. Project Success21 topic
  22. Smart Manufacturing21 topic
  23. Anomaly Detection11 topic
  24. Unsupervised11 topic

Where does Ashrafur Rahman Nabil work?

Ashrafur Rahman Nabil's main affiliation in the publication record is St. Francis College, United States.

How many publications and citations does Ashrafur Rahman Nabil have?

OpenAlex counts 18 works and 76 citations for Ashrafur Rahman Nabil, an h-index of 5, ranking #2,142,496 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.

Discussion

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