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Researcher · United International University · Bangladesh

Nur Mohammad Fahad

Nur Mohammad Fahad publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Media Technology, on topics such as Advanced Neural Network Applications, AI in cancer detection and Remote-Sensing Image Classification.

ORCID 0009-0000-5445-6925 OpenAlex
World rank
#729,048
of 7,710,434 ranked researchers
Rank in Bangladesh
#842
of 14,256
Works
27
Citations
1.4k
Citations per work
50.7
h-index
11
i10-index 12Top 37% in Artificial Intelligence
Nur Mohammad Fahad

What does Nur Mohammad Fahad research?

Nur Mohammad Fahad's work is mostly in Computer Science (34%), Medicine (14%), Engineering (9%).

Physical Sciences: 12 works · 42.9% of their workComputer Science: 9 works · 33.8% of their workArtificial Intelligence: 5 works · 19.5% of their workComputer Vision and Pattern Recognition: 4 works · 14.3% of their workEngineering: 2 works · 9.1% of their workMedia Technology: 2 works · 9.1% of their workEverything else: 12 works · 42.8% of their workHealth Sciences: 4 works · 14.3% of their workMedicine: 4 works · 14.3% of their workRadiology, Nuclear Medicine and Imaging: 2 works · 6.5% of their workEpidemiology: 1 works · 3.9% of their workPulmonary and Respiratory Medicine: 1 works · 3.9% of their workTHEIR WORKNur MohammadFahad27works
Physical Sciences43%Health Sciences14%

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 Science933.8%
    2. Engineering29.1%
  2. Everything else1242.8%
    1. Medicine414.3%
  1. 1Artificial Intelligence20% of their works
  2. 2Computer Vision and Pattern Recognition14% of their works
  3. 3Media Technology9% of their works
  4. 4Radiology, Nuclear Medicine and Imaging6% of their works
  5. 5Epidemiology4% of their works
  6. 6Pulmonary and Respiratory Medicine4% of their works

Research topics

Which keywords describe Nur Mohammad Fahad's research?

The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Hyperspectral, Remote Sensing, Image Recognition, Object Detection, Classification and Histopathology Images.

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 20 words, with their numbers
  1. Deep Learning175 topics
  2. Convolutional Neural Networks113 topics
  3. Hyperspectral72 topics
  4. Remote Sensing72 topics
  5. Image Recognition51 topic
  6. Object Detection51 topic
  7. Classification41 topic
  8. Histopathology Images41 topic
  9. Image Analysis41 topic
  10. Medical Image Analysis41 topic
  11. Image Fusion31 topic
  12. Multispectral31 topic
  13. Neural Networks31 topic
  14. Word Representation31 topic
  15. Electronic Health Records21 topic
  16. Healthcare21 topic
  17. Multivariate Calibration21 topic
  18. Near-Infrared Spectroscopy21 topic
  19. Object Tracking21 topic
  20. Visual Tracking21 topic

Where does Nur Mohammad Fahad work?

Nur Mohammad Fahad's main affiliation in the publication record is United International University, Bangladesh.

How many publications and citations does Nur Mohammad Fahad have?

OpenAlex counts 27 works and 1,368 citations for Nur Mohammad Fahad, an h-index of 11, ranking #729,048 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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