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Researcher · Maersk (Denmark) · Denmark

Shabbir Hossain

Shabbir Hossain publishes mostly in Civil and Structural Engineering, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, on topics such as Asphalt Pavement Performance Evaluation, Infrastructure Maintenance and Monitoring and Context-Aware Activity Recognition Systems.

OpenAlex
World rank
#6,725,237
of 7,710,434 ranked researchers
Rank in Denmark
#41,333
of 43,819
Works
21
Citations
113
Citations per work
5.4
h-index
4
i10-index 3Top 87% in Civil and Structural Engineering
Shabbir Hossain

What does Shabbir Hossain research?

Shabbir Hossain's work is mostly in Engineering (47%), Computer Science (12%), Biochemistry, Genetics and Molecular Biology (4%).

Physical Sciences: 12 works · 58.8% of their workEngineering: 10 works · 47.1% of their workCivil and Structural Engineering: 9 works · 41.2% of their workElectrical and Electronic Engineering: 1 works · 5.9% of their workComputer Science: 2 works · 11.7% of their workComputer Vision and Pattern Recognition: 2 works · 7.8% of their workHuman-Computer Interaction: 1 works · 3.9% of their workEverything else: 7 works · 33.4% of their workLife Sciences: 1 works · 3.9% of their workBiochemistry, Genetics and Molecular Biology: 1 works · 3.9% of their workMolecular Biology: 1 works · 3.9% of their workSocial Sciences: 1 works · 3.9% of their workSocial Sciences: 1 works · 3.9% of their workTransportation: 1 works · 3.9% of their workTHEIR WORKShabbir Hossain21works
Life Sciences4%Physical Sciences59%Social 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. Engineering1047.1%
    2. Computer Science211.7%
  2. Everything else733.4%
    1. Biochemistry, Genetics and Molecular Biology13.9%
    1. Social Sciences13.9%
  1. 1Civil and Structural Engineering41% of their works
  2. 2Computer Vision and Pattern Recognition8% of their works
  3. 3Electrical and Electronic Engineering6% of their works
  4. 4Human-Computer Interaction4% of their works
  5. 5Transportation4% of their works
  6. 6Molecular Biology4% of their works

Research topics

Which keywords describe Shabbir Hossain's research?

The keywords of their largest research topics: Deep Learning, Asphalt, Bitumen Modification, Crack Detection, Pavement, Activity Recognition, Geotechnical Engineering and Pervasive Computing.

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 17 words, with their numbers
  1. Deep Learning92 topics
  2. Asphalt81 topic
  3. Bitumen Modification81 topic
  4. Crack Detection61 topic
  5. Pavement61 topic
  6. Activity Recognition31 topic
  7. Geotechnical Engineering31 topic
  8. Pervasive Computing31 topic
  9. Road Construction31 topic
  10. Cloud Robotics21 topic
  11. Internet of Robotic Things21 topic
  12. Seismic21 topic
  13. Tunnel21 topic
  14. Genome Engineering11 topic
  15. Genome Evolution11 topic
  16. Polyploidy11 topic
  17. RNA-Guided11 topic

Where does Shabbir Hossain work?

Shabbir Hossain's main affiliation in the publication record is Maersk (Denmark), Denmark.

How many publications and citations does Shabbir Hossain have?

OpenAlex counts 21 works and 113 citations for Shabbir Hossain, an h-index of 4, ranking #6,725,237 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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