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Researcher · East Delta University · Bangladesh

Mohammed Nazim Uddin

Mohammed Nazim Uddin publishes mostly in Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, on topics such as Recommender Systems and Techniques, Artificial Intelligence in Healthcare and Smart Agriculture and AI.

ORCID 0000-0003-4286-8978 OpenAlex
World rank
#1,472,444
of 7,710,434 ranked researchers
Rank in Bangladesh
#1,911
of 14,256
Works
55
Citations
647
Citations per work
11.8
h-index
14
i10-index 19Top 25% in Artificial Intelligence
Mohammed Nazim Uddin

What does Mohammed Nazim Uddin research?

Mohammed Nazim Uddin's work is mostly in Computer Science (48%), Agricultural and Biological Sciences (5%), Health Professions (4%).

Physical Sciences: 27 works · 48.3% of their workComputer Science: 27 works · 48.3% of their workArtificial Intelligence: 10 works · 19.0% of their workInformation Systems: 7 works · 12.9% of their workComputer Vision and Pattern Recognition: 6 works · 11.6% of their workComputer Networks and Communications: 3 works · 4.8% of their workEverything else: 24 works · 42.8% of their workLife Sciences: 3 works · 4.8% of their workAgricultural and Biological Sciences: 3 works · 4.8% of their workPlant Science: 3 works · 4.8% of their workHealth Sciences: 2 works · 4.1% of their workHealth Professions: 2 works · 4.1% of their workHealth Information Management: 2 works · 4.1% of their workTHEIR WORKMohammed NazimUddin55works
Life Sciences5%Physical Sciences48%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 Science2748.3%
  2. Everything else2442.8%
    1. Agricultural and Biological Sciences34.8%
    1. Health Professions24.1%
  1. 1Artificial Intelligence19% of their works
  2. 2Information Systems13% of their works
  3. 3Computer Vision and Pattern Recognition12% of their works
  4. 4Plant Science5% of their works
  5. 5Computer Networks and Communications5% of their works
  6. 6Health Information Management4% of their works

Research topics

Which keywords describe Mohammed Nazim Uddin's research?

The keywords of their largest research topics: Machine Learning, Deep Learning, Collaborative Filtering, Matrix Factorization, Big Data Analytics, Healthcare, Plant Disease Detection and Smart Farming.

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 18 words, with their numbers
  1. Machine Learning225 topics
  2. Deep Learning214 topics
  3. Collaborative Filtering91 topic
  4. Matrix Factorization91 topic
  5. Big Data Analytics61 topic
  6. Healthcare61 topic
  7. Plant Disease Detection51 topic
  8. Smart Farming51 topic
  9. Content-Based Image Retrieval41 topic
  10. Multivariate Calibration41 topic
  11. Near-Infrared Spectroscopy41 topic
  12. Ontology41 topic
  13. Opinion Mining41 topic
  14. Semantic Web41 topic
  15. Sentiment Analysis41 topic
  16. Shape Matching41 topic
  17. Brain Tumor31 topic
  18. MRI31 topic

Where does Mohammed Nazim Uddin work?

Mohammed Nazim Uddin's main affiliation in the publication record is East Delta University, Bangladesh.

How many publications and citations does Mohammed Nazim Uddin have?

OpenAlex counts 55 works and 647 citations for Mohammed Nazim Uddin, an h-index of 14, ranking #1,472,444 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.

Other researchers named Mohammed Nazim Uddin

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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