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Researcher · Doon University · India

Seema Bhakuni

Seema Bhakuni publishes mostly in Organizational Behavior and Human Resource Management, Sociology and Political Science and Economics and Econometrics, on topics such as Collaboration in agile enterprises, AI and HR Technologies and Gender Diversity and Inequality.

ORCID 0000-0002-3885-9860 OpenAlex
World rank
#5,288,577
of 7,710,434 ranked researchers
Rank in India
#150,397
of 280,097
Works
23
Citations
58
Citations per work
2.5
h-index
3
i10-index 1Top 87% in Organizational Behavior and Human Resource Management
Seema Bhakuni

What does Seema Bhakuni research?

Seema Bhakuni's work is mostly in Social Sciences (27%), Business, Management and Accounting (19%), Economics, Econometrics and Finance (10%).

Social Sciences: 13 works · 55.8% of their workSocial Sciences: 6 works · 26.9% of their workSociology and Political Science: 3 works · 11.5% of their workEducation: 2 works · 7.7% of their workGender Studies: 2 works · 7.7% of their workBusiness, Management and Accounting: 4 works · 19.3% of their workOrganizational Behavior and Human Resource Management: 3 works · 13.5% of their workManagement of Technology and Innovation: 1 works · 5.8% of their workEconomics, Econometrics and Finance: 2 works · 9.6% of their workEconomics and Econometrics: 2 works · 9.6% of their workEverything else: 10 works · 44.2% of their workTHEIR WORKSeema Bhakuni23works
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 Sciences626.9%
    2. Business, Management and Accounting419.3%
    3. Economics, Econometrics and Finance29.6%
  2. Everything else1044.2%
  1. 1Organizational Behavior and Human Resource Management14% of their works
  2. 2Sociology and Political Science12% of their works
  3. 3Economics and Econometrics10% of their works
  4. 4Education8% of their works
  5. 5Gender Studies8% of their works
  6. 6Management of Technology and Innovation6% of their works

Research topics

Which keywords describe Seema Bhakuni's research?

The keywords of their largest research topics: Organizational Performance, Big Data, Leadership, Machine Learning, Supply Chain Management, Agile Manufacturing, Board Diversity and Collaborative Networks.

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 21 words, with their numbers
  1. Organizational Performance104 topics
  2. Big Data52 topics
  3. Leadership52 topics
  4. Machine Learning52 topics
  5. Supply Chain Management42 topics
  6. Agile Manufacturing31 topic
  7. Board Diversity31 topic
  8. Collaborative Networks31 topic
  9. Employee Turnover31 topic
  10. Gender Diversity31 topic
  11. HR Analytics31 topic
  12. Telecommuting31 topic
  13. Work-Family Conflict31 topic
  14. Analytics21 topic
  15. Business Intelligence21 topic
  16. Global21 topic
  17. HR21 topic
  18. Healthcare21 topic
  19. Renewable Energy21 topic
  20. Smart Cities21 topic
  21. Sustainable Development21 topic

Where does Seema Bhakuni work?

Seema Bhakuni's main affiliation in the publication record is Doon University, India.

How many publications and citations does Seema Bhakuni have?

OpenAlex counts 23 works and 58 citations for Seema Bhakuni, an h-index of 3, ranking #5,288,577 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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