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Researcher · Gannon University · United States

Eftekhar Hossain Ayon

Eftekhar Hossain Ayon publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Management Science and Operations Research, on topics such as Artificial Intelligence in Healthcare, Smart Systems and Machine Learning and Advanced Neural Network Applications.

OpenAlex
World rank
#869,561
of 7,710,434 ranked researchers
Rank in United States
#287,716
of 1,627,098
Works
15
Citations
277
Citations per work
18.5
h-index
10
i10-index 10Top 45% in Computer Vision and Pattern Recognition
Eftekhar Hossain Ayon

What does Eftekhar Hossain Ayon research?

Eftekhar Hossain Ayon's work is mostly in Computer Science (30%), Decision Sciences (10%), Health Professions (8%).

Everything else: 7 works · 45.0% of their workPhysical Sciences: 4 works · 30.0% of their workComputer Science: 4 works · 30.0% of their workComputer Vision and Pattern Recognition: 2 works · 12.5% of their workArtificial Intelligence: 2 works · 10.0% of their workComputer Networks and Communications: 1 works · 7.5% of their workSocial Sciences: 3 works · 17.5% of their workDecision Sciences: 2 works · 10.0% of their workManagement Science and Operations Research: 2 works · 10.0% of their workBusiness, Management and Accounting: 1 works · 7.5% of their workMarketing: 1 works · 7.5% of their workHealth Sciences: 1 works · 7.5% of their workHealth Professions: 1 works · 7.5% of their workHealth Information Management: 1 works · 7.5% of their workTHEIR WORKEftekhar HossainAyon15works
Physical Sciences30%Health Sciences8%Social Sciences18%

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 else745.0%
    1. Computer Science430.0%
    1. Decision Sciences210.0%
    2. Business, Management and Accounting17.5%
    1. Health Professions17.5%
  1. 1Computer Vision and Pattern Recognition12% of their works
  2. 2Artificial Intelligence10% of their works
  3. 3Management Science and Operations Research10% of their works
  4. 4Marketing8% of their works
  5. 5Health Information Management8% of their works
  6. 6Computer Networks and Communications8% of their works

Research topics

Which keywords describe Eftekhar Hossain Ayon's research?

The keywords of their largest research topics: Machine Learning, Deep Learning, Neural Networks, Big Data Analytics, Healthcare, Sentiment Analysis, Time Series and Cognitive Radio 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 21 words, with their numbers
  1. Machine Learning95 topics
  2. Deep Learning75 topics
  3. Neural Networks53 topics
  4. Big Data Analytics31 topic
  5. Healthcare31 topic
  6. Sentiment Analysis32 topics
  7. Time Series32 topics
  8. Cognitive Radio Networks21 topic
  9. Convolutional Neural Networks21 topic
  10. Exponential Smoothing21 topic
  11. Forecasting21 topic
  12. Image Recognition21 topic
  13. Spectrum Handovers21 topic
  14. Stock Market Prediction21 topic
  15. Time Series Forecasting21 topic
  16. Anomaly Detection11 topic
  17. Brain Tumor11 topic
  18. MRI11 topic
  19. Opinion Mining11 topic
  20. Social Media11 topic
  21. Unsupervised11 topic

Where does Eftekhar Hossain Ayon work?

Eftekhar Hossain Ayon's main affiliation in the publication record is Gannon University, United States.

How many publications and citations does Eftekhar Hossain Ayon have?

OpenAlex counts 15 works and 277 citations for Eftekhar Hossain Ayon, an h-index of 10, ranking #869,561 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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