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Researcher · Hajee Mohammad Danesh Science and Technology University · Bangladesh

Mst Farjana Rahman

Mst Farjana Rahman publishes mostly in Artificial Intelligence, Sociology and Political Science and Marketing, on topics such as Digital Marketing and Social Media, Sentiment Analysis and Opinion Mining and Consumer Retail Behavior Studies.

ORCID 0000-0003-3886-6056 OpenAlex
World rank
#1,033,207
of 7,710,434 ranked researchers
Rank in Bangladesh
#1,255
of 14,256
Works
15
Citations
536
Citations per work
35.7
h-index
10
i10-index 10Top 42% in Artificial Intelligence
Mst Farjana Rahman

What does Mst Farjana Rahman research?

Mst Farjana Rahman's work is mostly in Business, Management and Accounting (29%), Computer Science (29%), Social Sciences (24%).

Social Sciences: 10 works · 64.4% of their workBusiness, Management and Accounting: 4 works · 28.9% of their workMarketing: 3 works · 22.2% of their workOrganizational Behavior and Human Resource Management: 1 works · 6.7% of their workSocial Sciences: 4 works · 24.4% of their workSociology and Political Science: 4 works · 24.4% of their workDecision Sciences: 2 works · 11.1% of their workInformation Systems and Management: 2 works · 11.1% of their workPhysical Sciences: 4 works · 28.8% of their workComputer Science: 4 works · 28.8% of their workArtificial Intelligence: 4 works · 24.4% of their workInformation Systems: 1 works · 4.4% of their workEverything else: 1 works · 6.8% of their workTHEIR WORKMst FarjanaRahman15works
Physical Sciences29%Social Sciences64%

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 Accounting428.9%
    2. Social Sciences424.4%
    3. Decision Sciences211.1%
    1. Computer Science428.8%
  3. Everything else16.8%
  1. 1Artificial Intelligence24% of their works
  2. 2Sociology and Political Science24% of their works
  3. 3Marketing22% of their works
  4. 4Information Systems and Management11% of their works
  5. 5Organizational Behavior and Human Resource Management7% of their works
  6. 6Information Systems4% of their works

Research topics

Which keywords describe Mst Farjana Rahman's research?

The keywords of their largest research topics: Social Media, Consumer Engagement, Electronic Word-of-Mouth, Opinion Mining, Sentiment Analysis, E-commerce, Customer Experience and Impulse Buying.

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. Social Media182 topics
  2. Consumer Engagement101 topic
  3. Electronic Word-of-Mouth101 topic
  4. Opinion Mining81 topic
  5. Sentiment Analysis81 topic
  6. E-commerce72 topics
  7. Customer Experience62 topics
  8. Impulse Buying51 topic
  9. Information Systems51 topic
  10. Multichannel Retailing51 topic
  11. Technology Acceptance Model51 topic
  12. Consumer Behavior42 topics
  13. Customer Satisfaction31 topic
  14. Service Quality31 topic
  15. Brand Equity21 topic
  16. Brand Trust21 topic
  17. Marketing Strategies21 topic
  18. Retail Economics21 topic
  19. Artificial Intelligence11 topic
  20. Service Robots11 topic

Where does Mst Farjana Rahman work?

Mst Farjana Rahman's main affiliation in the publication record is Hajee Mohammad Danesh Science and Technology University, Bangladesh.

How many publications and citations does Mst Farjana Rahman have?

OpenAlex counts 15 works and 536 citations for Mst Farjana Rahman, an h-index of 10, ranking #1,033,207 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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