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Researcher · Wells Fargo (United States) · United States

Joshua Idowu Akerele

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

OpenAlex
World rank
#2,183,641
of 7,710,434 ranked researchers
Rank in United States
#655,857
of 1,627,098
Works
23
Citations
177
Citations per work
7.7
h-index
8
i10-index 6Top 30% in Information Systems
Joshua Idowu Akerele

What does Joshua Idowu Akerele research?

Joshua Idowu Akerele's work is mostly in Computer Science (42%), Business, Management and Accounting (15%), Economics, Econometrics and Finance (6%).

Physical Sciences: 10 works · 45.4% of their workComputer Science: 10 works · 41.6% of their workInformation Systems: 5 works · 20.8% of their workComputer Networks and Communications: 3 works · 15.1% of their workArtificial Intelligence: 1 works · 5.7% of their workEngineering: 1 works · 3.8% of their workElectrical and Electronic Engineering: 1 works · 3.8% of their workEverything else: 8 works · 33.8% of their workSocial Sciences: 5 works · 20.8% of their workBusiness, Management and Accounting: 3 works · 15.1% of their workManagement Information Systems: 3 works · 15.1% of their workEconomics, Econometrics and Finance: 1 works · 5.7% of their workEconomics and Econometrics: 1 works · 5.7% of their workTHEIR WORKJoshua IdowuAkerele23works
Physical Sciences45%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 Science1041.6%
    2. Engineering13.8%
  2. Everything else833.8%
    1. Business, Management and Accounting315.1%
    2. Economics, Econometrics and Finance15.7%
  1. 1Information Systems21% of their works
  2. 2Computer Networks and Communications15% of their works
  3. 3Management Information Systems15% of their works
  4. 4Economics and Econometrics6% of their works
  5. 5Artificial Intelligence6% of their works
  6. 6Electrical and Electronic Engineering4% of their works

Research topics

Which keywords describe Joshua Idowu Akerele's research?

The keywords of their largest research topics: Big Data, Supply Chain Management, Distributed Systems, Analytics, Anomaly Detection, Business Intelligence, Cybersecurity and Cloud 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 23 words, with their numbers
  1. Big Data92 topics
  2. Supply Chain Management93 topics
  3. Distributed Systems72 topics
  4. Analytics51 topic
  5. Anomaly Detection52 topics
  6. Business Intelligence51 topic
  7. Cybersecurity52 topics
  8. Cloud Computing41 topic
  9. Healthcare42 topics
  10. Machine Learning42 topics
  11. MapReduce41 topic
  12. Information Security31 topic
  13. Log Analysis31 topic
  14. Performance Prediction31 topic
  15. Policy Compliance31 topic
  16. Blockchain21 topic
  17. Internet of Things21 topic
  18. Intrusion Detection21 topic
  19. IoT21 topic
  20. Network Security21 topic
  21. QoS-Aware Middleware21 topic
  22. Semantic Web Services21 topic
  23. Smart Cities21 topic

Where does Joshua Idowu Akerele work?

Joshua Idowu Akerele's main affiliation in the publication record is Wells Fargo (United States), United States.

How many publications and citations does Joshua Idowu Akerele have?

OpenAlex counts 23 works and 177 citations for Joshua Idowu Akerele, an h-index of 8, ranking #2,183,641 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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