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Researcher · Zayed University · United Arab Emirates

Martin Sposato

Martin Sposato publishes mostly in Organizational Behavior and Human Resource Management, Sociology and Political Science and Gender Studies, on topics such as Gender Diversity and Inequality, AI and HR Technologies and Digital Transformation in Industry.

ORCID 0000-0001-9260-9961 OpenAlex
World rank
#627,223
of 7,710,434 ranked researchers
Rank in United Arab Emirates
#764
of 6,273
Works
63
Citations
679
Citations per work
10.8
h-index
12
i10-index 15Top 29% in Organizational Behavior and Human Resource Management
Martin Sposato

What does Martin Sposato research?

Martin Sposato's work is mostly in Business, Management and Accounting (24%), Social Sciences (21%), Computer Science (3%).

Social Sciences: 31 works · 48.9% of their workBusiness, Management and Accounting: 15 works · 24.1% of their workOrganizational Behavior and Human Resource Management: 13 works · 20.0% of their workStrategy and Management: 3 works · 4.1% of their workSocial Sciences: 13 works · 21.4% of their workSociology and Political Science: 9 works · 13.8% of their workGender Studies: 5 works · 7.6% of their workEconomics, Econometrics and Finance: 2 works · 3.4% of their workEconomics and Econometrics: 2 works · 3.4% of their workEverything else: 30 works · 47.7% of their workPhysical Sciences: 2 works · 3.4% of their workComputer Science: 2 works · 3.4% of their workArtificial Intelligence: 2 works · 3.4% of their workTHEIR WORKMartin Sposato63works
Physical Sciences3%Social Sciences49%

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 Accounting1524.1%
    2. Social Sciences1321.4%
    3. Economics, Econometrics and Finance23.4%
  2. Everything else3047.7%
    1. Computer Science23.4%
  1. 1Organizational Behavior and Human Resource Management20% of their works
  2. 2Sociology and Political Science14% of their works
  3. 3Gender Studies8% of their works
  4. 4Strategy and Management4% of their works
  5. 5Artificial Intelligence3% of their works
  6. 6Economics and Econometrics3% of their works

Research topics

Which keywords describe Martin Sposato's research?

The keywords of their largest research topics: Organizational Performance, Big Data, Leadership, Machine Learning, Talent Management, Artificial Intelligence, Board Diversity and Gender Diversity.

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. Organizational Performance254 topics
  2. Big Data183 topics
  3. Leadership132 topics
  4. Machine Learning132 topics
  5. Talent Management122 topics
  6. Artificial Intelligence92 topics
  7. Board Diversity91 topic
  8. Gender Diversity91 topic
  9. Sustainability92 topics
  10. Employee Turnover81 topic
  11. HR Analytics81 topic
  12. Digital Twin51 topic
  13. Ethics51 topic
  14. Fairness51 topic
  15. Smart Manufacturing51 topic
  16. Agile Manufacturing41 topic
  17. Climate Change41 topic
  18. Collaborative Networks41 topic
  19. Global41 topic
  20. HR41 topic
  21. Institutional Theory41 topic
  22. Interdependence41 topic
  23. Organizational Change41 topic

Where does Martin Sposato work?

Martin Sposato's main affiliation in the publication record is Zayed University, United Arab Emirates.

How many publications and citations does Martin Sposato have?

OpenAlex counts 63 works and 679 citations for Martin Sposato, an h-index of 12, ranking #627,223 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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