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Researcher · SKEMA Business School · France

Mohamed Slim Ben Mimoun

Mohamed Slim Ben Mimoun publishes mostly in Sociology and Political Science, Marketing and Information Systems and Management, on topics such as Digital Marketing and Social Media, Consumer Retail Behavior Studies and Technology Adoption and User Behaviour.

ORCID 0000-0003-2097-6599 OpenAlex
World rank
#714,345
of 7,710,434 ranked researchers
Rank in France
#35,296
of 324,115
Works
37
Citations
1.3k
Citations per work
34.8
h-index
10
i10-index 11Top 23% in Sociology and Political Science
Mohamed Slim Ben Mimoun

What does Mohamed Slim Ben Mimoun research?

Mohamed Slim Ben Mimoun's work is mostly in Business, Management and Accounting (32%), Social Sciences (28%), Decision Sciences (13%).

Social Sciences: 29 works · 77.3% of their workBusiness, Management and Accounting: 12 works · 32.0% of their workMarketing: 10 works · 25.8% of their workOrganizational Behavior and Human Resource Management: 2 works · 6.2% of their workSocial Sciences: 10 works · 27.8% of their workSociology and Political Science: 10 works · 27.8% of their workDecision Sciences: 5 works · 13.4% of their workInformation Systems and Management: 5 works · 13.4% of their workArts and Humanities: 2 works · 4.1% of their workLiterature and Literary Theory: 2 works · 4.1% of their workEverything else: 5 works · 12.4% of their workPhysical Sciences: 4 works · 10.3% of their workComputer Science: 4 works · 10.3% of their workArtificial Intelligence: 4 works · 10.3% of their workTHEIR WORKMohamed Slim BenMimoun37works
Physical Sciences10%Social Sciences77%

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 Accounting1232.0%
    2. Social Sciences1027.8%
    3. Decision Sciences513.4%
    4. Arts and Humanities24.1%
  2. Everything else512.4%
    1. Computer Science410.3%
  1. 1Sociology and Political Science28% of their works
  2. 2Marketing26% of their works
  3. 3Information Systems and Management13% of their works
  4. 4Artificial Intelligence10% of their works
  5. 5Organizational Behavior and Human Resource Management6% of their works
  6. 6Literature and Literary Theory4% of their works

Research topics

Which keywords describe Mohamed Slim Ben Mimoun's research?

The keywords of their largest research topics: Social Media, Consumer Engagement, Customer Experience, Electronic Word-of-Mouth, Impulse Buying, Multichannel Retailing, Information Systems and Technology Acceptance Model.

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 18 words, with their numbers
  1. Social Media232 topics
  2. Consumer Engagement191 topic
  3. Customer Experience192 topics
  4. Electronic Word-of-Mouth191 topic
  5. Impulse Buying151 topic
  6. Multichannel Retailing151 topic
  7. Information Systems131 topic
  8. Technology Acceptance Model131 topic
  9. Brand Trust71 topic
  10. Consumer Behavior71 topic
  11. Customer Satisfaction61 topic
  12. Service Quality61 topic
  13. Addiction41 topic
  14. Artificial Intelligence41 topic
  15. Narrative Persuasion41 topic
  16. Service Robots41 topic
  17. Transportation41 topic
  18. Well-being41 topic

Where does Mohamed Slim Ben Mimoun work?

Mohamed Slim Ben Mimoun's main affiliation in the publication record is SKEMA Business School, France.

How many publications and citations does Mohamed Slim Ben Mimoun have?

OpenAlex counts 37 works and 1,289 citations for Mohamed Slim Ben Mimoun, an h-index of 10, ranking #714,345 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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