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Researcher · Sultan Qaboos University · Oman

Mirza Mohammad Didarul Alam

Mirza Mohammad Didarul Alam publishes mostly in Sociology and Political Science, Organizational Behavior and Human Resource Management and Information Systems and Management, on topics such as Digital Marketing and Social Media, Technology Adoption and User Behaviour and Customer Service Quality and Loyalty.

ORCID 0000-0001-8657-8134 OpenAlex
World rank
#215,086
of 7,710,434 ranked researchers
Rank in Oman
#51
of 1,991
Works
38
Citations
1.5k
Citations per work
40.7
h-index
18
i10-index 26Top 8% in Sociology and Political Science
Mirza Mohammad Didarul Alam

What does Mirza Mohammad Didarul Alam research?

Mirza Mohammad Didarul Alam's work is mostly in Business, Management and Accounting (34%), Social Sciences (17%), Decision Sciences (14%).

Social Sciences: 25 works · 65.3% of their workBusiness, Management and Accounting: 13 works · 33.7% of their workMarketing: 5 works · 14.3% of their workOrganizational Behavior and Human Resource Management: 5 works · 14.3% of their workManagement of Technology and Innovation: 2 works · 5.1% of their workSocial Sciences: 7 works · 17.3% of their workSociology and Political Science: 7 works · 17.3% of their workDecision Sciences: 5 works · 14.3% of their workInformation Systems and Management: 5 works · 14.3% of their workEverything else: 10 works · 26.5% of their workPhysical Sciences: 3 works · 8.2% of their workComputer Science: 3 works · 8.2% of their workArtificial Intelligence: 3 works · 8.2% of their workTHEIR WORKMirza MohammadDidarul Alam38works
Physical Sciences8%Social Sciences65%

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 Accounting1333.7%
    2. Social Sciences717.3%
    3. Decision Sciences514.3%
  2. Everything else1026.5%
    1. Computer Science38.2%
  1. 1Sociology and Political Science17% of their works
  2. 2Organizational Behavior and Human Resource Management14% of their works
  3. 3Information Systems and Management14% of their works
  4. 4Marketing14% of their works
  5. 5Artificial Intelligence8% of their works
  6. 6Management of Technology and Innovation5% of their works

Research topics

Which keywords describe Mirza Mohammad Didarul Alam's research?

The keywords of their largest research topics: Customer Satisfaction, Electronic Word-of-Mouth, Social Media, Information Systems, Technology Acceptance Model, Perceived Value, Service Quality and Customer Experience.

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 17 words, with their numbers
  1. Customer Satisfaction152 topics
  2. Electronic Word-of-Mouth141 topic
  3. Social Media141 topic
  4. Information Systems131 topic
  5. Technology Acceptance Model131 topic
  6. Perceived Value91 topic
  7. Service Quality91 topic
  8. Customer Experience81 topic
  9. Multichannel Retailing81 topic
  10. Machine Learning61 topic
  11. Smart Cities61 topic
  12. Brand Trust41 topic
  13. Consumer Behavior41 topic
  14. Entrepreneurial Orientation41 topic
  15. Opportunity Recognition41 topic
  16. Emerging Markets31 topic
  17. Frugal Innovation31 topic

Where does Mirza Mohammad Didarul Alam work?

Mirza Mohammad Didarul Alam's main affiliation in the publication record is Sultan Qaboos University, Oman.

How many publications and citations does Mirza Mohammad Didarul Alam have?

OpenAlex counts 38 works and 1,548 citations for Mirza Mohammad Didarul Alam, an h-index of 18, ranking #215,086 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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