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Researcher · Bangladesh University · Bangladesh

Md. Sadiq Iqbal

Md. Sadiq Iqbal publishes mostly in Artificial Intelligence, Health Information Management and Electrical and Electronic Engineering, on topics such as Artificial Intelligence in Healthcare, Machine Learning in Healthcare and Imbalanced Data Classification Techniques.

ORCID 0000-0001-9219-230X OpenAlex
World rank
#1,553,218
of 7,710,434 ranked researchers
Rank in Bangladesh
#2,049
of 14,256
Works
32
Citations
362
Citations per work
11.3
h-index
8
i10-index 6Top 56% in Artificial Intelligence
Md. Sadiq Iqbal

What does Md. Sadiq Iqbal research?

Md. Sadiq Iqbal's work is mostly in Computer Science (24%), Health Professions (16%), Engineering (8%).

Everything else: 14 works · 45.3% of their workPhysical Sciences: 10 works · 32.0% of their workComputer Science: 8 works · 24.0% of their workArtificial Intelligence: 6 works · 20.0% of their workComputer Networks and Communications: 1 works · 4.0% of their workEngineering: 3 works · 8.0% of their workElectrical and Electronic Engineering: 3 works · 8.0% of their workHealth Sciences: 6 works · 18.7% of their workHealth Professions: 5 works · 16.0% of their workHealth Information Management: 5 works · 16.0% of their workMedicine: 1 works · 2.7% of their workRadiology, Nuclear Medicine and Imaging: 1 works · 2.7% of their workLife Sciences: 1 works · 4.0% of their workAgricultural and Biological Sciences: 1 works · 4.0% of their workPlant Science: 1 works · 4.0% of their workTHEIR WORKMd. Sadiq Iqbal32works
Life Sciences4%Physical Sciences32%Health Sciences19%

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 else1445.3%
    1. Computer Science824.0%
    2. Engineering38.0%
    1. Health Professions516.0%
    2. Medicine12.7%
    1. Agricultural and Biological Sciences14.0%
  1. 1Artificial Intelligence20% of their works
  2. 2Health Information Management16% of their works
  3. 3Electrical and Electronic Engineering8% of their works
  4. 4Plant Science4% of their works
  5. 5Computer Networks and Communications4% of their works
  6. 6Radiology, Nuclear Medicine and Imaging3% of their works

Research topics

Which keywords describe Md. Sadiq Iqbal's research?

The keywords of their largest research topics: Healthcare, Machine Learning, Big Data Analytics, Medical Diagnosis, Deep Learning, Classification, Electronic Health Records and Imbalanced Data.

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 20 words, with their numbers
  1. Healthcare152 topics
  2. Machine Learning153 topics
  3. Big Data Analytics111 topic
  4. Medical Diagnosis111 topic
  5. Deep Learning83 topics
  6. Classification62 topics
  7. Electronic Health Records41 topic
  8. Imbalanced Data41 topic
  9. Predictive Modeling41 topic
  10. SMOTE41 topic
  11. Interpretable Models31 topic
  12. Machine Learning Interpretability31 topic
  13. Brain Tumor21 topic
  14. MRI21 topic
  15. Neural Networks21 topic
  16. Plant Disease Detection21 topic
  17. Power Control21 topic
  18. Smart Farming21 topic
  19. Wireless Networks21 topic
  20. Word Representation21 topic

Where does Md. Sadiq Iqbal work?

Md. Sadiq Iqbal's main affiliation in the publication record is Bangladesh University, Bangladesh.

How many publications and citations does Md. Sadiq Iqbal have?

OpenAlex counts 32 works and 362 citations for Md. Sadiq Iqbal, an h-index of 8, ranking #1,553,218 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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