Science Explorer Back to mapMap
Discussion
Researcher · Universidade Nova de Lisboa · Portugal

Nuno António

Nuno António publishes mostly in Sociology and Political Science, Marketing and Artificial Intelligence, on topics such as Digital Marketing and Social Media, Diverse Aspects of Tourism Research and Consumer Market Behavior and Pricing.

ORCID 0000-0002-4801-2487 OpenAlex
World rank
#208,312
of 7,710,434 ranked researchers
Rank in Portugal
#528
of 41,760
Works
94
Citations
1.3k
Citations per work
14.0
h-index
18
i10-index 29Top 8% in Sociology and Political Science
Nuno António

What does Nuno António research?

Nuno António's work is mostly in Social Sciences (24%), Business, Management and Accounting (18%), Computer Science (8%).

Social Sciences: 44 works · 47.0% of their workSocial Sciences: 23 works · 24.2% of their workSociology and Political Science: 19 works · 19.7% of their workPolitical Science and International Relations: 4 works · 4.5% of their workBusiness, Management and Accounting: 17 works · 18.3% of their workMarketing: 13 works · 13.8% of their workOrganizational Behavior and Human Resource Management: 4 works · 4.5% of their workEconomics, Econometrics and Finance: 4 works · 4.5% of their workEconomics and Econometrics: 4 works · 4.5% of their workEverything else: 42 works · 44.8% of their workPhysical Sciences: 8 works · 8.2% of their workComputer Science: 8 works · 8.2% of their workArtificial Intelligence: 8 works · 8.2% of their workTHEIR WORKNuno António94works
Physical Sciences8%Social Sciences47%

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 Sciences2324.2%
    2. Business, Management and Accounting1718.3%
    3. Economics, Econometrics and Finance44.5%
  2. Everything else4244.8%
    1. Computer Science88.2%
  1. 1Sociology and Political Science20% of their works
  2. 2Marketing14% of their works
  3. 3Artificial Intelligence8% of their works
  4. 4Political Science and International Relations4% of their works
  5. 5Organizational Behavior and Human Resource Management4% of their works
  6. 6Economics and Econometrics4% of their works

Research topics

Which keywords describe Nuno António's research?

The keywords of their largest research topics: Electronic Word-of-Mouth, Social Media, Destination Image, Tourist Satisfaction, Marketing Strategies, Retail Economics, Customer Experience and Legal Technology.

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.

All 16 words, with their numbers
  1. Electronic Word-of-Mouth271 topic
  2. Social Media271 topic
  3. Destination Image161 topic
  4. Tourist Satisfaction161 topic
  5. Marketing Strategies141 topic
  6. Retail Economics141 topic
  7. Customer Experience111 topic
  8. Legal Technology111 topic
  9. Multichannel Retailing111 topic
  10. Predictive111 topic
  11. Customer Satisfaction91 topic
  12. Service Quality91 topic
  13. Auction Theory71 topic
  14. Legal Education71 topic
  15. Mechanism Design71 topic
  16. Welfare Rights Advice71 topic

Where does Nuno António work?

Nuno António's main affiliation in the publication record is Universidade Nova de Lisboa, Portugal.

How many publications and citations does Nuno António have?

OpenAlex counts 94 works and 1,319 citations for Nuno António, an h-index of 18, ranking #208,312 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised 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

Ask a question or share a note about Nuno António. Posts are plain text and can be reported.