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Researcher · BRAC University · Bangladesh

Rafeed Rahman

Rafeed Rahman publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing, on topics such as Brain Tumor Detection and Classification, Anomaly Detection Techniques and Applications and Advanced Neural Network Applications.

OpenAlex
World rank
#5,806,295
of 7,710,434 ranked researchers
Rank in Bangladesh
#10,559
of 14,256
Works
36
Citations
189
Citations per work
5.3
h-index
9
i10-index 7Top 49% in Artificial Intelligence
Rafeed Rahman

What does Rafeed Rahman research?

Rafeed Rahman's work is mostly in Computer Science (29%), Agricultural and Biological Sciences (6%), Neuroscience (6%).

Everything else: 19 works · 53.3% of their workPhysical Sciences: 11 works · 29.4% of their workComputer Science: 11 works · 29.4% of their workArtificial Intelligence: 5 works · 15.2% of their workComputer Vision and Pattern Recognition: 3 works · 7.1% of their workSignal Processing: 3 works · 7.1% of their workLife Sciences: 4 works · 12.2% of their workAgricultural and Biological Sciences: 2 works · 6.1% of their workPlant Science: 2 works · 6.1% of their workNeuroscience: 2 works · 6.1% of their workCognitive Neuroscience: 2 works · 6.1% of their workHealth Sciences: 2 works · 5.1% of their workMedicine: 2 works · 5.1% of their workRadiology, Nuclear Medicine and Imaging: 2 works · 5.1% of their workTHEIR WORKRafeed Rahman36works
Life Sciences12%Physical Sciences29%Health Sciences5%

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 else1953.3%
    1. Computer Science1129.4%
    1. Agricultural and Biological Sciences26.1%
    2. Neuroscience26.1%
    1. Medicine25.1%
  1. 1Artificial Intelligence15% of their works
  2. 2Computer Vision and Pattern Recognition7% of their works
  3. 3Signal Processing7% of their works
  4. 4Plant Science6% of their works
  5. 5Cognitive Neuroscience6% of their works
  6. 6Radiology, Nuclear Medicine and Imaging5% of their works

Research topics

Which keywords describe Rafeed Rahman's research?

The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Machine Learning, Feature Extraction, Medical Imaging, Anomaly Detection, Brain Tumor and Image Recognition.

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 21 words, with their numbers
  1. Deep Learning206 topics
  2. Convolutional Neural Networks103 topics
  3. Machine Learning93 topics
  4. Feature Extraction72 topics
  5. Medical Imaging72 topics
  6. Anomaly Detection41 topic
  7. Brain Tumor41 topic
  8. Image Recognition41 topic
  9. MRI41 topic
  10. Object Detection41 topic
  11. Unsupervised41 topic
  12. Audio Signal Classification31 topic
  13. Brain-Computer Interfaces31 topic
  14. COVID-1931 topic
  15. Chest X-Ray31 topic
  16. EEG Analysis31 topic
  17. Music Information Retrieval31 topic
  18. Psychological Language Analysis31 topic
  19. Social Media31 topic
  20. Plant Disease Detection21 topic
  21. Smart Farming21 topic

Where does Rafeed Rahman work?

Rafeed Rahman's main affiliation in the publication record is BRAC University, Bangladesh.

How many publications and citations does Rafeed Rahman have?

OpenAlex counts 36 works and 189 citations for Rafeed Rahman, an h-index of 9, ranking #5,806,295 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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