Science Explorer Back to mapMap
Discussion
Researcher · Multimedia University · Malaysia

Md. Jakir Hossen

Md. Jakir Hossen publishes mostly in Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, on topics such as Advanced Neural Network Applications, Anomaly Detection Techniques and Applications and Artificial Intelligence in Healthcare.

ORCID 0000-0002-9978-7987 OpenAlex
World rank
#592,004
of 7,710,434 ranked researchers
Rank in Malaysia
#1,886
of 41,196
Works
210
Citations
1.5k
Citations per work
7.4
h-index
21
i10-index 47Top 12% in Artificial Intelligence
Md. Jakir Hossen

What does Md. Jakir Hossen research?

Md. Jakir Hossen's work is mostly in Computer Science (31%), Engineering (16%).

Everything else: 111 works · 53.0% of their workPhysical Sciences: 99 works · 47.0% of their workComputer Science: 66 works · 31.3% of their workArtificial Intelligence: 33 works · 15.7% of their workComputer Vision and Pattern Recognition: 16 works · 7.8% of their workInformation Systems: 9 works · 4.4% of their workComputer Networks and Communications: 7 works · 3.4% of their workEngineering: 33 works · 15.7% of their workElectrical and Electronic Engineering: 24 works · 11.5% of their workControl and Systems Engineering: 9 works · 4.2% of their workTHEIR WORKMd. Jakir Hossen210works
Physical Sciences47%

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 else11153.0%
    1. Computer Science6631.3%
    2. Engineering3315.7%
  1. 1Artificial Intelligence16% of their works
  2. 2Electrical and Electronic Engineering12% of their works
  3. 3Computer Vision and Pattern Recognition8% of their works
  4. 4Information Systems4% of their works
  5. 5Control and Systems Engineering4% of their works
  6. 6Computer Networks and Communications3% of their works

Research topics

Which keywords describe Md. Jakir Hossen's research?

The keywords of their largest research topics: Deep Learning, Machine Learning, Healthcare, Neural Networks, Convolutional Neural Networks, Image Recognition, Anomaly Detection and Big Data Analytics.

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 Learning666 topics
  2. Machine Learning343 topics
  3. Healthcare242 topics
  4. Neural Networks212 topics
  5. Convolutional Neural Networks151 topic
  6. Image Recognition151 topic
  7. Anomaly Detection141 topic
  8. Big Data Analytics141 topic
  9. Medical Diagnosis141 topic
  10. Unsupervised141 topic
  11. Autonomous Vehicles121 topic
  12. Trajectory Prediction121 topic
  13. Electronic Health Records101 topic
  14. Predictive Modeling101 topic
  15. Interpretable Models81 topic
  16. Machine Learning Interpretability81 topic
  17. Plant Disease Detection81 topic
  18. Smart Farming81 topic
  19. Backpropagation Learning71 topic
  20. Self-Organizing Maps71 topic

Where does Md. Jakir Hossen work?

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

How many publications and citations does Md. Jakir Hossen have?

OpenAlex counts 210 works and 1,546 citations for Md. Jakir Hossen, an h-index of 21, ranking #592,004 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

Ask a question or share a note about Md. Jakir Hossen. Keep it to the research: no personal attacks, advertising or links. Any reader can report a post, which collapses it for everyone until it is opened.