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Researcher · Sa'adu Zungur University · Nigeria

Muhammad Auwal Kabir

Muhammad Auwal Kabir publishes mostly in Information Systems and Management, Accounting and Economics and Econometrics, on topics such as Technology Adoption and User Behaviour, Financial Literacy and Behavior and Taxation and Compliance Studies.

ORCID 0009-0000-9834-9734 OpenAlex
World rank
#4,421,189
of 7,710,434 ranked researchers
Rank in Nigeria
#8,781
of 26,141
Works
17
Citations
37
Citations per work
2.2
h-index
3
i10-index 1Top 71% in Information Systems and Management
Muhammad Auwal Kabir

What does Muhammad Auwal Kabir research?

Muhammad Auwal Kabir's work is mostly in Business, Management and Accounting (24%), Decision Sciences (22%), Economics, Econometrics and Finance (12%).

Social Sciences: 12 works · 68.4% of their workBusiness, Management and Accounting: 4 works · 24.4% of their workAccounting: 2 works · 14.6% of their workStrategy and Management: 2 works · 9.8% of their workDecision Sciences: 4 works · 22.0% of their workInformation Systems and Management: 4 works · 22.0% of their workEconomics, Econometrics and Finance: 2 works · 12.2% of their workEconomics and Econometrics: 2 works · 12.2% of their workSocial Sciences: 2 works · 9.8% of their workSociology and Political Science: 2 works · 9.8% of their workEverything else: 5 works · 26.7% of their workPhysical Sciences: 1 works · 4.9% of their workComputer Science: 1 works · 4.9% of their workArtificial Intelligence: 1 works · 4.9% of their workTHEIR WORKMuhammad AuwalKabir17works
Physical Sciences5%Social Sciences68%

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 Accounting424.4%
    2. Decision Sciences422.0%
    3. Economics, Econometrics and Finance212.2%
    4. Social Sciences29.8%
  2. Everything else526.7%
    1. Computer Science14.9%
  1. 1Information Systems and Management22% of their works
  2. 2Accounting15% of their works
  3. 3Economics and Econometrics12% of their works
  4. 4Strategy and Management10% of their works
  5. 5Sociology and Political Science10% of their works
  6. 6Artificial Intelligence5% of their works

Research topics

Which keywords describe Muhammad Auwal Kabir's research?

The keywords of their largest research topics: Technology Acceptance Model, Information Systems, Online Shopping, Partial Least Squares, Financial Literacy, Informal Economy, Small and Medium Enterprises and Tax Evasion.

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. Technology Acceptance Model122 topics
  2. Information Systems102 topics
  3. Online Shopping91 topic
  4. Partial Least Squares91 topic
  5. Financial Literacy31 topic
  6. Informal Economy31 topic
  7. Small and Medium Enterprises31 topic
  8. Tax Evasion31 topic
  9. Artificial Intelligence22 topics
  10. Digital Transformation22 topics
  11. Economic Value Added21 topic
  12. Shareholder Value21 topic
  13. Chatbots11 topic
  14. Health Education11 topic
  15. Health Workforce11 topic
  16. Machine Learning11 topic
  17. Metaverse11 topic
  18. Rural Health11 topic
  19. Service Robots11 topic
  20. Smart Cities11 topic

Where does Muhammad Auwal Kabir work?

Muhammad Auwal Kabir's main affiliation in the publication record is Sa'adu Zungur University, Nigeria.

How many publications and citations does Muhammad Auwal Kabir have?

OpenAlex counts 17 works and 37 citations for Muhammad Auwal Kabir, an h-index of 3, ranking #4,421,189 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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