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Researcher · Webster University Thailand · Thailand

Ramona Paun

Ramona Paun publishes mostly in Economics and Econometrics, Artificial Intelligence and Sociology and Political Science, on topics such as Digital Marketing and Social Media, Sentiment Analysis and Opinion Mining and Advanced Text Analysis Techniques.

ORCID 0000-0002-2731-665X OpenAlex
World rank
#2,663,656
of 7,710,434 ranked researchers
Rank in Thailand
#5,433
of 23,698
Works
20
Citations
143
Citations per work
7.2
h-index
7
i10-index 4Top 54% in Economics and Econometrics
Ramona Paun

What does Ramona Paun research?

Ramona Paun's work is mostly in Economics, Econometrics and Finance (25%), Computer Science (16%), Physics and Astronomy (10%).

Social Sciences: 9 works · 43.1% of their workEconomics, Econometrics and Finance: 5 works · 25.5% of their workEconomics and Econometrics: 3 works · 15.7% of their workGeneral Economics, Econometrics and Finance: 2 works · 9.8% of their workSocial Sciences: 2 works · 9.8% of their workSociology and Political Science: 2 works · 9.8% of their workDecision Sciences: 2 works · 7.8% of their workManagement Science and Operations Research: 2 works · 7.8% of their workEverything else: 6 works · 31.4% of their workPhysical Sciences: 5 works · 25.5% of their workComputer Science: 3 works · 15.7% of their workArtificial Intelligence: 3 works · 15.7% of their workPhysics and Astronomy: 2 works · 9.8% of their workStatistical and Nonlinear Physics: 2 works · 9.8% of their workTHEIR WORKRamona Paun20works
Physical Sciences25%Social Sciences43%

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. Economics, Econometrics and Finance525.5%
    2. Social Sciences29.8%
    3. Decision Sciences27.8%
  2. Everything else631.4%
    1. Computer Science315.7%
    2. Physics and Astronomy29.8%
  1. 1Economics and Econometrics16% of their works
  2. 2Artificial Intelligence16% of their works
  3. 3Sociology and Political Science10% of their works
  4. 4General Economics, Econometrics and Finance10% of their works
  5. 5Statistical and Nonlinear Physics10% of their works
  6. 6Management Science and Operations Research8% of their works

Research topics

Which keywords describe Ramona Paun's research?

The keywords of their largest research topics: Social Media, Consumer Engagement, Electronic Word-of-Mouth, Network Dynamics, Social Influence, Economic Development, Automatic and Community Structure.

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 Media82 topics
  2. Consumer Engagement51 topic
  3. Electronic Word-of-Mouth51 topic
  4. Network Dynamics52 topics
  5. Social Influence52 topics
  6. Economic Development42 topics
  7. Automatic31 topic
  8. Community Structure31 topic
  9. Extraction31 topic
  10. Fiscal Policy31 topic
  11. Monetary Policy31 topic
  12. Opinion Mining31 topic
  13. Scale-Free Networks31 topic
  14. Sentiment Analysis31 topic
  15. Airport Competition21 topic
  16. Bounded Confidence21 topic
  17. High-speed Rail21 topic
  18. Institutions21 topic
  19. Opinion Dynamics21 topic
  20. Technology Diffusion21 topic

Where does Ramona Paun work?

Ramona Paun's main affiliation in the publication record is Webster University Thailand, Thailand.

How many publications and citations does Ramona Paun have?

OpenAlex counts 20 works and 143 citations for Ramona Paun, an h-index of 7, ranking #2,663,656 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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