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Researcher · Universidade Presbiteriana Mackenzie · Brazil

Adilson Carlos Yoshikuni

Adilson Carlos Yoshikuni publishes mostly in Management Information Systems, Strategy and Management and Information Systems and Management, on topics such as Big Data and Business Intelligence, Information Technology Governance and Strategy and Innovation and Knowledge Management.

ORCID 0000-0003-4611-6933 OpenAlex
World rank
#596,424
of 7,710,434 ranked researchers
Rank in Brazil
#3,093
of 253,246
Works
82
Citations
608
Citations per work
7.4
h-index
15
i10-index 17Top 24% in Management Information Systems
Adilson Carlos Yoshikuni

What does Adilson Carlos Yoshikuni research?

Adilson Carlos Yoshikuni's work is mostly in Business, Management and Accounting (61%), Decision Sciences (12%), Social Sciences (6%).

Social Sciences: 65 works · 79.4% of their workBusiness, Management and Accounting: 50 works · 61.3% of their workManagement Information Systems: 28 works · 33.8% of their workStrategy and Management: 19 works · 23.1% of their workManagement of Technology and Innovation: 4 works · 4.4% of their workDecision Sciences: 10 works · 12.5% of their workInformation Systems and Management: 10 works · 12.5% of their workSocial Sciences: 5 works · 5.6% of their workEducation: 5 works · 5.6% of their workEverything else: 13 works · 15.6% of their workPhysical Sciences: 4 works · 5.0% of their workComputer Science: 4 works · 5.0% of their workInformation Systems: 4 works · 5.0% of their workTHEIR WORKAdilson CarlosYoshikuni82works
Physical Sciences5%Social Sciences79%

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. Business, Management and Accounting5061.3%
    2. Decision Sciences1012.5%
    3. Social Sciences55.6%
  2. Everything else1315.6%
    1. Computer Science45.0%
  1. 1Management Information Systems34% of their works
  2. 2Strategy and Management23% of their works
  3. 3Information Systems and Management12% of their works
  4. 4Education6% of their works
  5. 5Information Systems5% of their works
  6. 6Management of Technology and Innovation4% of their works

Research topics

Which keywords describe Adilson Carlos Yoshikuni's research?

The keywords of their largest research topics: IT Governance, Knowledge Sharing, Supply Chain Management, Business Strategy, Analytics, Big Data, Information Technology Governance and IT Alignment.

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 20 words, with their numbers
  1. IT Governance292 topics
  2. Knowledge Sharing292 topics
  3. Supply Chain Management292 topics
  4. Business Strategy262 topics
  5. Analytics201 topic
  6. Big Data201 topic
  7. IT Alignment201 topic
  8. Information Technology Governance201 topic
  9. Dynamic Capabilities171 topic
  10. Knowledge Transfer171 topic
  11. Organizational Management171 topic
  12. Research Methods171 topic
  13. Enterprise Resource Planning91 topic
  14. Implementation Procedures91 topic
  15. Competitive Intelligence61 topic
  16. Information Management61 topic
  17. Business Performance51 topic
  18. Distance Education51 topic
  19. Intellectual Capital51 topic
  20. Training51 topic

Where does Adilson Carlos Yoshikuni work?

Adilson Carlos Yoshikuni's main affiliation in the publication record is Universidade Presbiteriana Mackenzie, Brazil.

How many publications and citations does Adilson Carlos Yoshikuni have?

OpenAlex counts 82 works and 608 citations for Adilson Carlos Yoshikuni, an h-index of 15, ranking #596,424 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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