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Researcher · Rangamati Science and Technology University · Bangladesh

Mohammad Tarek Aziz

Mohammad Tarek Aziz publishes mostly in Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, on topics such as Smart Agriculture and AI, Spam and Phishing Detection and Network Security and Intrusion Detection.

ORCID 0009-0009-8835-034X OpenAlex
World rank
#467,065
of 7,710,434 ranked researchers
Rank in Bangladesh
#486
of 14,256
Works
50
Citations
623
Citations per work
12.5
h-index
14
i10-index 21Top 25% in Artificial Intelligence
Mohammad Tarek Aziz

What does Mohammad Tarek Aziz research?

Mohammad Tarek Aziz's work is mostly in Computer Science (37%), Engineering (7%), Agricultural and Biological Sciences (6%).

Everything else: 25 works · 49.9% of their workPhysical Sciences: 22 works · 44.1% of their workComputer Science: 19 works · 37.2% of their workArtificial Intelligence: 8 works · 16.4% of their workComputer Vision and Pattern Recognition: 4 works · 7.8% of their workInformation Systems: 4 works · 7.8% of their workSignal Processing: 3 works · 5.2% of their workEngineering: 3 works · 6.9% of their workElectrical and Electronic Engineering: 3 works · 6.9% of their workLife Sciences: 3 works · 6.0% of their workAgricultural and Biological Sciences: 3 works · 6.0% of their workPlant Science: 3 works · 6.0% of their workTHEIR WORKMohammad TarekAziz50works
Life Sciences6%Physical Sciences44%

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 else2549.9%
    1. Computer Science1937.2%
    2. Engineering36.9%
    1. Agricultural and Biological Sciences36.0%
  1. 1Artificial Intelligence16% of their works
  2. 2Information Systems8% of their works
  3. 3Computer Vision and Pattern Recognition8% of their works
  4. 4Electrical and Electronic Engineering7% of their works
  5. 5Plant Science6% of their works
  6. 6Signal Processing5% of their works

Research topics

Which keywords describe Mohammad Tarek Aziz's research?

The keywords of their largest research topics: Machine Learning, Deep Learning, Behavioral Analysis, IoT Security, Convolutional Neural Networks, Plant Disease Detection, Smart Farming and Phishing.

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 21 words, with their numbers
  1. Machine Learning215 topics
  2. Deep Learning205 topics
  3. Behavioral Analysis92 topics
  4. IoT Security82 topics
  5. Convolutional Neural Networks72 topics
  6. Plant Disease Detection61 topic
  7. Smart Farming61 topic
  8. Phishing51 topic
  9. Spam Detection51 topic
  10. ALPR41 topic
  11. Android Malware41 topic
  12. Automatic License Plate Recognition41 topic
  13. Detection41 topic
  14. Intrusion Detection41 topic
  15. Network Security41 topic
  16. Fake News31 topic
  17. Handwriting Recognition31 topic
  18. Misinformation31 topic
  19. Text Detection31 topic
  20. Brain Tumor21 topic
  21. MRI21 topic

Where does Mohammad Tarek Aziz work?

Mohammad Tarek Aziz's main affiliation in the publication record is Rangamati Science and Technology University, Bangladesh.

How many publications and citations does Mohammad Tarek Aziz have?

OpenAlex counts 50 works and 623 citations for Mohammad Tarek Aziz, an h-index of 14, ranking #467,065 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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