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Researcher · Federal University of Technology Minna · Nigeria

Araoye Olarinkoye Ajiboye

Araoye Olarinkoye Ajiboye publishes mostly in Safety, Risk, Reliability and Quality, Economics and Econometrics and Strategy and Management, on topics such as Traffic and Road Safety, Maritime Ports and Logistics and Transportation Planning and Optimization.

ORCID 0000-0002-1314-7429 OpenAlex
World rank
#6,211,354
of 7,710,434 ranked researchers
Rank in Nigeria
#17,224
of 26,141
Works
17
Citations
8
Citations per work
0.5
h-index
2
i10-index 0Top 96% in Safety, Risk, Reliability and Quality
Araoye Olarinkoye Ajiboye

What does Araoye Olarinkoye Ajiboye research?

Araoye Olarinkoye Ajiboye's work is mostly in Engineering (25%), Business, Management and Accounting (10%), Economics, Econometrics and Finance (10%).

Everything else: 8 works · 45.0% of their workSocial Sciences: 5 works · 30.0% of their workBusiness, Management and Accounting: 2 works · 10.0% of their workStrategy and Management: 2 works · 10.0% of their workEconomics, Econometrics and Finance: 2 works · 10.0% of their workEconomics and Econometrics: 2 works · 10.0% of their workSocial Sciences: 2 works · 10.0% of their workTransportation: 2 works · 10.0% of their workPhysical Sciences: 4 works · 25.0% of their workEngineering: 4 works · 25.0% of their workSafety, Risk, Reliability and Quality: 2 works · 10.0% of their workBuilding and Construction: 1 works · 7.5% of their workIndustrial and Manufacturing Engineering: 1 works · 7.5% of their workTHEIR WORKAraoye OlarinkoyeAjiboye17works
Physical Sciences25%Social Sciences30%

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 else845.0%
    1. Business, Management and Accounting210.0%
    2. Economics, Econometrics and Finance210.0%
    3. Social Sciences210.0%
    1. Engineering425.0%
  1. 1Safety, Risk, Reliability and Quality10% of their works
  2. 2Economics and Econometrics10% of their works
  3. 3Strategy and Management10% of their works
  4. 4Transportation10% of their works
  5. 5Industrial and Manufacturing Engineering8% of their works
  6. 6Building and Construction8% of their works

Research topics

Which keywords describe Araoye Olarinkoye Ajiboye's research?

The keywords of their largest research topics: Logistics, Supply Chain Management, Deep Learning, Driver Behavior, Infrastructure, Traffic Accidents, Transportation and Urban Traffic.

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. Logistics73 topics
  2. Supply Chain Management52 topics
  3. Deep Learning42 topics
  4. Driver Behavior41 topic
  5. Infrastructure42 topics
  6. Traffic Accidents41 topic
  7. Transportation42 topics
  8. Urban Traffic42 topics
  9. Container Terminals31 topic
  10. Operations Research31 topic
  11. Public Transport31 topic
  12. Travel Behavior31 topic
  13. Agriculture21 topic
  14. Construction Projects21 topic
  15. IoT21 topic
  16. Modeling21 topic
  17. Planning21 topic
  18. Project Success21 topic
  19. Short-Term Forecasting21 topic
  20. Smart Vehicle Safety21 topic
  21. Soybean21 topic
  22. Traffic Flow21 topic

Where does Araoye Olarinkoye Ajiboye work?

Araoye Olarinkoye Ajiboye's main affiliation in the publication record is Federal University of Technology Minna, Nigeria.

How many publications and citations does Araoye Olarinkoye Ajiboye have?

OpenAlex counts 17 works and 8 citations for Araoye Olarinkoye Ajiboye, an h-index of 2, ranking #6,211,354 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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