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Researcher · International Islamic University Chittagong · Bangladesh

Rashedul Arefin Ifty

Rashedul Arefin Ifty publishes mostly in Artificial Intelligence, Plant Science and Computer Vision and Pattern Recognition, on topics such as Smart Agriculture and AI, Topic Modeling and Spectroscopy and Chemometric Analyses.

ORCID 0009-0002-1550-3180 OpenAlex
World rank
#4,659,529
of 7,710,434 ranked researchers
Rank in Bangladesh
#8,205
of 14,256
Works
33
Citations
86
Citations per work
2.6
h-index
6
i10-index 2Top 74% in Artificial Intelligence
Rashedul Arefin Ifty

What does Rashedul Arefin Ifty research?

Rashedul Arefin Ifty's work is mostly in Computer Science (36%), Agricultural and Biological Sciences (12%), Chemistry (4%).

Physical Sciences: 14 works · 43.9% of their workComputer Science: 12 works · 36.3% of their workArtificial Intelligence: 10 works · 31.3% of their workComputer Vision and Pattern Recognition: 2 works · 5.0% of their workChemistry: 1 works · 3.8% of their workAnalytical Chemistry: 1 works · 3.8% of their workEngineering: 1 works · 3.8% of their workAerospace Engineering: 1 works · 3.8% of their workEverything else: 13 works · 39.8% of their workLife Sciences: 4 works · 12.5% of their workAgricultural and Biological Sciences: 4 works · 12.5% of their workPlant Science: 4 works · 12.5% of their workHealth Sciences: 1 works · 3.8% of their workMedicine: 1 works · 3.8% of their workEpidemiology: 1 works · 3.8% of their workTHEIR WORKRashedul ArefinIfty33works
Life Sciences12%Physical Sciences44%Health 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. Computer Science1236.3%
    2. Chemistry13.8%
    3. Engineering13.8%
  2. Everything else1339.8%
    1. Agricultural and Biological Sciences412.5%
    1. Medicine13.8%
  1. 1Artificial Intelligence31% of their works
  2. 2Plant Science12% of their works
  3. 3Computer Vision and Pattern Recognition5% of their works
  4. 4Epidemiology4% of their works
  5. 5Aerospace Engineering4% of their works
  6. 6Analytical Chemistry4% of their works

Research topics

Which keywords describe Rashedul Arefin Ifty's research?

The keywords of their largest research topics: Deep Learning, Machine Learning, Plant Disease Detection, Smart Farming, Neural Networks, Machine Translation, Word Representation and Electronic Health Records.

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 19 words, with their numbers
  1. Deep Learning154 topics
  2. Machine Learning123 topics
  3. Plant Disease Detection81 topic
  4. Smart Farming81 topic
  5. Neural Networks62 topics
  6. Machine Translation41 topic
  7. Word Representation41 topic
  8. Electronic Health Records31 topic
  9. Healthcare31 topic
  10. Multivariate Calibration31 topic
  11. Near-Infrared Spectroscopy31 topic
  12. Backpropagation Learning21 topic
  13. Compression21 topic
  14. Differential Privacy21 topic
  15. Federated Learning21 topic
  16. Histopathology Images21 topic
  17. Medical Image Analysis21 topic
  18. Self-Organizing Maps21 topic
  19. Suffix Arrays21 topic

Where does Rashedul Arefin Ifty work?

Rashedul Arefin Ifty's main affiliation in the publication record is International Islamic University Chittagong, Bangladesh.

How many publications and citations does Rashedul Arefin Ifty have?

OpenAlex counts 33 works and 86 citations for Rashedul Arefin Ifty, an h-index of 6, ranking #4,659,529 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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