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Researcher · Biblioteca Nacional de España · Spain

Natalia Ghimpu

Natalia Ghimpu publishes mostly in Information Systems, Organizational Behavior and Human Resource Management and Library and Information Sciences, on topics such as Appreciative Inquiry and Organizational Change, Education, Management, Technology, Human Resources and Library Science and Information Literacy.

ORCID 0000-0002-5247-0456 OpenAlex
World rank
#5,543,227
of 7,710,434 ranked researchers
Rank in Spain
#131,063
of 204,306
Works
16
Citations
0
h-index
0
i10-index 0Top 100% in Information Systems
Natalia Ghimpu

What does Natalia Ghimpu research?

Natalia Ghimpu's work is mostly in Social Sciences (28%), Computer Science (19%), Business, Management and Accounting (16%).

Social Sciences: 9 works · 56.3% of their workSocial Sciences: 5 works · 28.2% of their workLibrary and Information Sciences: 2 works · 12.5% of their workSociology and Political Science: 2 works · 9.4% of their workGeography, Planning and Development: 1 works · 6.3% of their workBusiness, Management and Accounting: 2 works · 15.6% of their workOrganizational Behavior and Human Resource Management: 2 works · 15.6% of their workDecision Sciences: 2 works · 12.5% of their workInformation Systems and Management: 2 works · 12.5% of their workEverything else: 4 works · 24.9% of their workPhysical Sciences: 3 works · 18.8% of their workComputer Science: 3 works · 18.8% of their workInformation Systems: 3 works · 18.8% of their workTHEIR WORKNatalia Ghimpu16works
Physical Sciences19%Social Sciences56%

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. Social Sciences528.2%
    2. Business, Management and Accounting215.6%
    3. Decision Sciences212.5%
  2. Everything else424.9%
    1. Computer Science318.8%
  1. 1Information Systems19% of their works
  2. 2Organizational Behavior and Human Resource Management16% of their works
  3. 3Library and Information Sciences12% of their works
  4. 4Information Systems and Management12% of their works
  5. 5Sociology and Political Science9% of their works
  6. 6Geography, Planning and Development6% of their works

Research topics

Which keywords describe Natalia Ghimpu's research?

The keywords of their largest research topics: Sustainability, Leadership, Innovation, Appreciative Inquiry, Organizational Development, Artificial Intelligence, Climate Change and Educational Technology.

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 22 words, with their numbers
  1. Sustainability104 topics
  2. Leadership92 topics
  3. Innovation62 topics
  4. Appreciative Inquiry51 topic
  5. Organizational Development51 topic
  6. Artificial Intelligence42 topics
  7. Climate Change42 topics
  8. Educational Technology41 topic
  9. Knowledge Management42 topics
  10. Organizational Change41 topic
  11. Digital Literacy31 topic
  12. Information Literacy31 topic
  13. Biodiversity21 topic
  14. Digital Libraries21 topic
  15. Forest Biodiversity21 topic
  16. Globalization21 topic
  17. Interdependence21 topic
  18. Policy21 topic
  19. Scientific Communication21 topic
  20. Smart Cities21 topic
  21. Tourism Industry21 topic
  22. Urban Innovation21 topic

Where does Natalia Ghimpu work?

Natalia Ghimpu's main affiliation in the publication record is Biblioteca Nacional de España, Spain.

How many publications and citations does Natalia Ghimpu have?

OpenAlex counts 16 works and 0 citations for Natalia Ghimpu, an h-index of 0, ranking #5,543,227 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.

Discussion

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