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Researcher · Amazon (United States) · United States

David Adedayo Akokodaripon

David Adedayo Akokodaripon publishes mostly in Computer Networks and Communications, Information Systems and Management Information Systems, on topics such as Big Data and Business Intelligence, Software System Performance and Reliability and Cloud Computing and Resource Management.

OpenAlex
World rank
#2,664,170
of 7,710,434 ranked researchers
Rank in United States
#778,617
of 1,627,098
Works
45
Citations
258
Citations per work
5.7
h-index
10
i10-index 11Top 44% in Computer Networks and Communications
David Adedayo Akokodaripon

What does David Adedayo Akokodaripon research?

David Adedayo Akokodaripon's work is mostly in Computer Science (32%), Business, Management and Accounting (21%), Engineering (14%).

Physical Sciences: 21 works · 46.5% of their workComputer Science: 14 works · 32.2% of their workComputer Networks and Communications: 8 works · 17.9% of their workInformation Systems: 6 works · 14.3% of their workEngineering: 6 works · 14.3% of their workIndustrial and Manufacturing Engineering: 4 works · 8.0% of their workElectrical and Electronic Engineering: 3 works · 6.3% of their workEverything else: 15 works · 32.9% of their workSocial Sciences: 9 works · 20.6% of their workBusiness, Management and Accounting: 9 works · 20.6% of their workManagement Information Systems: 6 works · 14.3% of their workStrategy and Management: 3 works · 6.3% of their workTHEIR WORKDavid AdedayoAkokodaripon45works
Physical Sciences46%Social Sciences21%

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. Computer Science1432.2%
    2. Engineering614.3%
  2. Everything else1532.9%
    1. Business, Management and Accounting920.6%
  1. 1Computer Networks and Communications18% of their works
  2. 2Information Systems14% of their works
  3. 3Management Information Systems14% of their works
  4. 4Industrial and Manufacturing Engineering8% of their works
  5. 5Strategy and Management6% of their works
  6. 6Electrical and Electronic Engineering6% of their works

Research topics

Which keywords describe David Adedayo Akokodaripon's research?

The keywords of their largest research topics: Big Data, Distributed Systems, Internet of Things, Supply Chain Management, Sustainability, 5G Networks, Analytics and Business Intelligence.

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 24 words, with their numbers
  1. Big Data224 topics
  2. Distributed Systems122 topics
  3. Internet of Things123 topics
  4. Supply Chain Management122 topics
  5. Sustainability122 topics
  6. 5G Networks92 topics
  7. Analytics81 topic
  8. Business Intelligence81 topic
  9. Deep Learning82 topics
  10. Edge Computing82 topics
  11. Cloud Computing61 topic
  12. Log Analysis61 topic
  13. MapReduce61 topic
  14. Performance Prediction61 topic
  15. Risk Management61 topic
  16. Supply Chain Resilience61 topic
  17. Network Virtualization51 topic
  18. Software-Defined Networking51 topic
  19. 5G41 topic
  20. Digital Twin41 topic
  21. Fog Computing41 topic
  22. IoT41 topic
  23. Mobile Edge Computing41 topic
  24. Smart Manufacturing41 topic

Where does David Adedayo Akokodaripon work?

David Adedayo Akokodaripon's main affiliation in the publication record is Amazon (United States), United States.

How many publications and citations does David Adedayo Akokodaripon have?

OpenAlex counts 45 works and 258 citations for David Adedayo Akokodaripon, an h-index of 10, ranking #2,664,170 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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