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Researcher · SIMAD University · Somalia

Mohamed Omar Abdullahi

Mohamed Omar Abdullahi publishes mostly in Electrical and Electronic Engineering, Management Information Systems and Computer Networks and Communications, on topics such as Smart Agriculture and AI, IoT-based Smart Home Systems and Big Data and Business Intelligence.

ORCID 0000-0001-8001-1751 OpenAlex
World rank
#3,351,802
of 7,710,434 ranked researchers
Rank in Somalia
#106
of 157
Works
27
Citations
129
Citations per work
4.8
h-index
5
i10-index 5Top 89% in Electrical and Electronic Engineering
Mohamed Omar Abdullahi

What does Mohamed Omar Abdullahi research?

Mohamed Omar Abdullahi's work is mostly in Computer Science (15%), Engineering (12%), Business, Management and Accounting (9%).

Everything else: 14 works · 52.9% of their workPhysical Sciences: 7 works · 26.5% of their workComputer Science: 4 works · 14.7% of their workComputer Networks and Communications: 2 works · 8.8% of their workArtificial Intelligence: 2 works · 5.9% of their workEngineering: 3 works · 11.8% of their workElectrical and Electronic Engineering: 3 works · 11.8% of their workSocial Sciences: 4 works · 13.2% of their workBusiness, Management and Accounting: 2 works · 8.8% of their workManagement Information Systems: 2 works · 8.8% of their workDecision Sciences: 1 works · 4.4% of their workManagement Science and Operations Research: 1 works · 4.4% of their workLife Sciences: 2 works · 7.4% of their workAgricultural and Biological Sciences: 2 works · 7.4% of their workPlant Science: 2 works · 7.4% of their workTHEIR WORKMohamed OmarAbdullahi27works
Life Sciences7%Physical Sciences26%Social Sciences13%

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 else1452.9%
    1. Computer Science414.7%
    2. Engineering311.8%
    1. Business, Management and Accounting28.8%
    2. Decision Sciences14.4%
    1. Agricultural and Biological Sciences27.4%
  1. 1Electrical and Electronic Engineering12% of their works
  2. 2Management Information Systems9% of their works
  3. 3Computer Networks and Communications9% of their works
  4. 4Plant Science7% of their works
  5. 5Artificial Intelligence6% of their works
  6. 6Management Science and Operations Research4% of their works

Research topics

Which keywords describe Mohamed Omar Abdullahi's research?

The keywords of their largest research topics: Deep Learning, IoT, Wireless Sensor Networks, Smart Home, Machine Learning, Smart Farming, Analytics and Big 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. 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 22 words, with their numbers
  1. Deep Learning93 topics
  2. IoT83 topics
  3. Wireless Sensor Networks83 topics
  4. Smart Home72 topics
  5. Machine Learning62 topics
  6. Smart Farming62 topics
  7. Analytics41 topic
  8. Big Data41 topic
  9. Home Automation41 topic
  10. Internet of Things (IoT)41 topic
  11. Plant Disease Detection41 topic
  12. Wireless41 topic
  13. Demand Response31 topic
  14. Graph Embedding31 topic
  15. Smart Grid31 topic
  16. Visual Question Answering31 topic
  17. Cognitive Radio Networks21 topic
  18. Flood Risk21 topic
  19. Parking System21 topic
  20. Remote Sensing21 topic
  21. Smart Parking21 topic
  22. Spectrum Handovers21 topic

Where does Mohamed Omar Abdullahi work?

Mohamed Omar Abdullahi's main affiliation in the publication record is SIMAD University, Somalia.

How many publications and citations does Mohamed Omar Abdullahi have?

OpenAlex counts 27 works and 129 citations for Mohamed Omar Abdullahi, an h-index of 5, ranking #3,351,802 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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