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Researcher · City University Ajman · United Arab Emirates

Beenish Shameem

Beenish Shameem publishes mostly in Sociology and Political Science, Artificial Intelligence and Marketing, on topics such as Digital Marketing and Social Media, Organizational and Employee Performance and Technology Adoption and User Behaviour.

ORCID 0000-0002-2511-8393 OpenAlex
World rank
#2,983,897
of 7,710,434 ranked researchers
Rank in United Arab Emirates
#3,143
of 6,273
Works
14
Citations
37
Citations per work
2.6
h-index
4
i10-index 1Top 62% in Sociology and Political Science
Beenish Shameem

What does Beenish Shameem research?

Beenish Shameem's work is mostly in Social Sciences (22%), Computer Science (17%), Decision Sciences (12%).

Social Sciences: 6 works · 42.5% of their workSocial Sciences: 3 works · 22.5% of their workSociology and Political Science: 3 works · 22.5% of their workDecision Sciences: 2 works · 12.5% of their workInformation Systems and Management: 1 works · 7.5% of their workManagement Science and Operations Research: 1 works · 5.0% of their workBusiness, Management and Accounting: 1 works · 7.5% of their workMarketing: 1 works · 7.5% of their workEverything else: 5 works · 35.0% of their workPhysical Sciences: 2 works · 17.5% of their workComputer Science: 2 works · 17.5% of their workArtificial Intelligence: 2 works · 17.5% of their workHealth Sciences: 1 works · 5.0% of their workHealth Professions: 1 works · 5.0% of their workGeneral Health Professions: 1 works · 5.0% of their workTHEIR WORKBeenish Shameem14works
Physical Sciences17%Health Sciences5%Social Sciences42%

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 Sciences322.5%
    2. Decision Sciences212.5%
    3. Business, Management and Accounting17.5%
  2. Everything else535.0%
    1. Computer Science217.5%
    1. Health Professions15.0%
  1. 1Sociology and Political Science22% of their works
  2. 2Artificial Intelligence18% of their works
  3. 3Marketing8% of their works
  4. 4Information Systems and Management8% of their works
  5. 5Management Science and Operations Research5% of their works
  6. 6General Health Professions5% of their works

Research topics

Which keywords describe Beenish Shameem's research?

The keywords of their largest research topics: Supply Chain Management, Electronic Word-of-Mouth, Social Media, Healthcare, Machine Learning, Smart Cities, Artificial Intelligence and Information Systems.

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. Supply Chain Management83 topics
  2. Electronic Word-of-Mouth71 topic
  3. Social Media71 topic
  4. Healthcare62 topics
  5. Machine Learning51 topic
  6. Smart Cities51 topic
  7. Artificial Intelligence42 topics
  8. Information Systems31 topic
  9. Internet of Things32 topics
  10. Technology Acceptance Model31 topic
  11. Big Data Analytics21 topic
  12. Chatbots21 topic
  13. Environmental Innovation21 topic
  14. Green Consumption21 topic
  15. Service Robots21 topic
  16. Smart Factory21 topic
  17. Blockchain11 topic
  18. COVID-1911 topic
  19. Pandemic11 topic
  20. Smart Contracts11 topic

Where does Beenish Shameem work?

Beenish Shameem's main affiliation in the publication record is City University Ajman, United Arab Emirates.

How many publications and citations does Beenish Shameem have?

OpenAlex counts 14 works and 37 citations for Beenish Shameem, an h-index of 4, ranking #2,983,897 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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