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Researcher · St. Francis College · United States

Shake Ibna Abir

Shake Ibna Abir publishes mostly in Economics and Econometrics, Health Information Management and Artificial Intelligence, on topics such as Artificial Intelligence in Healthcare, Energy, Environment, Economic Growth and AI in cancer detection.

ORCID 0009-0004-0724-8700 OpenAlex
World rank
#197,173
of 7,710,434 ranked researchers
Rank in United States
#73,229
of 1,627,098
Works
31
Citations
331
Citations per work
10.7
h-index
12
i10-index 19Top 27% in Economics and Econometrics
Shake Ibna Abir

What does Shake Ibna Abir research?

Shake Ibna Abir's work is mostly in Economics, Econometrics and Finance (25%), Computer Science (14%), Health Professions (10%).

Everything else: 11 works · 36.9% of their workSocial Sciences: 11 works · 34.3% of their workEconomics, Econometrics and Finance: 8 works · 24.7% of their workEconomics and Econometrics: 8 works · 24.7% of their workDecision Sciences: 3 works · 9.6% of their workManagement Science and Operations Research: 3 works · 9.6% of their workPhysical Sciences: 4 works · 13.7% of their workComputer Science: 4 works · 13.7% of their workArtificial Intelligence: 3 works · 9.6% of their workComputer Vision and Pattern Recognition: 1 works · 4.1% of their workHealth Sciences: 3 works · 9.6% of their workHealth Professions: 3 works · 9.6% of their workHealth Information Management: 3 works · 9.6% of their workLife Sciences: 2 works · 5.5% of their workNeuroscience: 2 works · 5.5% of their workCognitive Neuroscience: 2 works · 5.5% of their workTHEIR WORKShake Ibna Abir31works
Life Sciences6%Physical Sciences14%Health Sciences10%Social Sciences34%

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 else1136.9%
    1. Economics, Econometrics and Finance824.7%
    2. Decision Sciences39.6%
    1. Computer Science413.7%
    1. Health Professions39.6%
    1. Neuroscience25.5%
  1. 1Economics and Econometrics25% of their works
  2. 2Health Information Management10% of their works
  3. 3Artificial Intelligence10% of their works
  4. 4Management Science and Operations Research10% of their works
  5. 5Cognitive Neuroscience6% of their works
  6. 6Computer Vision and Pattern Recognition4% of their works

Research topics

Which keywords describe Shake Ibna Abir's research?

The keywords of their largest research topics: Machine Learning, Deep Learning, Healthcare, Big Data Analytics, CO2 Emissions, Energy Consumption, Medical Diagnosis and Forecasting Models.

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 20 words, with their numbers
  1. Machine Learning122 topics
  2. Deep Learning103 topics
  3. Healthcare92 topics
  4. Big Data Analytics71 topic
  5. CO2 Emissions71 topic
  6. Energy Consumption71 topic
  7. Medical Diagnosis71 topic
  8. Forecasting Models62 topics
  9. Histopathology Images51 topic
  10. Medical Image Analysis51 topic
  11. Climate Change41 topic
  12. Economic Impacts41 topic
  13. Agent-Based Modeling31 topic
  14. Brain-Computer Interfaces31 topic
  15. EEG Analysis31 topic
  16. Innovation Diffusion31 topic
  17. Stock Market Prediction31 topic
  18. Time Series Forecasting31 topic
  19. Electronic Health Records21 topic
  20. Predictive Modeling21 topic

Where does Shake Ibna Abir work?

Shake Ibna Abir's main affiliation in the publication record is St. Francis College, United States.

How many publications and citations does Shake Ibna Abir have?

OpenAlex counts 31 works and 331 citations for Shake Ibna Abir, an h-index of 12, ranking #197,173 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.

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