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Researcher · Multimedia University · Malaysia

Md Ismail Hossen

Md Ismail Hossen publishes mostly in Infectious Diseases, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, on topics such as Viral gastroenteritis research and epidemiology, Smart Agriculture and AI and Escherichia coli research studies.

ORCID 0000-0003-3632-937X OpenAlex
World rank
#1,097,765
of 7,710,434 ranked researchers
Rank in Malaysia
#3,865
of 41,196
Works
39
Citations
686
Citations per work
17.6
h-index
11
i10-index 14Top 59% in Infectious Diseases
Md Ismail Hossen

What does Md Ismail Hossen research?

Md Ismail Hossen's work is mostly in Engineering (16%), Medicine (11%), Computer Science (10%).

Everything else: 20 works · 50.4% of their workPhysical Sciences: 10 works · 25.3% of their workEngineering: 6 works · 15.6% of their workAerospace Engineering: 3 works · 7.8% of their workElectrical and Electronic Engineering: 3 works · 7.8% of their workComputer Science: 4 works · 9.7% of their workComputer Vision and Pattern Recognition: 4 works · 9.7% of their workLife Sciences: 5 works · 13.6% of their workAgricultural and Biological Sciences: 3 works · 6.8% of their workPlant Science: 3 works · 6.8% of their workBiochemistry, Genetics and Molecular Biology: 3 works · 6.8% of their workEndocrinology: 3 works · 6.8% of their workHealth Sciences: 4 works · 10.7% of their workMedicine: 4 works · 10.7% of their workInfectious Diseases: 4 works · 10.7% of their workTHEIR WORKMd Ismail Hossen39works
Life Sciences14%Physical Sciences25%Health Sciences11%

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 else2050.4%
    1. Engineering615.6%
    2. Computer Science49.7%
    1. Agricultural and Biological Sciences36.8%
    2. Biochemistry, Genetics and Molecular Biology36.8%
    1. Medicine410.7%
  1. 1Infectious Diseases11% of their works
  2. 2Computer Vision and Pattern Recognition10% of their works
  3. 3Electrical and Electronic Engineering8% of their works
  4. 4Aerospace Engineering8% of their works
  5. 5Plant Science7% of their works
  6. 6Endocrinology7% of their works

Research topics

Which keywords describe Md Ismail Hossen's research?

The keywords of their largest research topics: Deep Learning, Wireless Sensor Networks, Norovirus, Rotavirus, Escherichia coli, Pathogenicity, 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. Deep Learning123 topics
  2. Wireless Sensor Networks92 topics
  3. Norovirus61 topic
  4. Rotavirus61 topic
  5. Escherichia coli51 topic
  6. Pathogenicity51 topic
  7. Plant Disease Detection51 topic
  8. Smart Farming51 topic
  9. Frequency Selective Surfaces41 topic
  10. IoT41 topic
  11. Metasurfaces41 topic
  12. Smart Parking41 topic
  13. Antenna31 topic
  14. Aquaculture31 topic
  15. Fish Immunology31 topic
  16. Microstrip31 topic
  17. Object Tracking31 topic
  18. Visual Tracking31 topic

Where does Md Ismail Hossen work?

Md Ismail Hossen's main affiliation in the publication record is Multimedia University, Malaysia.

How many publications and citations does Md Ismail Hossen have?

OpenAlex counts 39 works and 686 citations for Md Ismail Hossen, an h-index of 11, ranking #1,097,765 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.

Discussion

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