Science Explorer Back to mapMap
Discussion
Researcher · Hamad bin Khalifa University · Qatar

Haewoon Kwak

Haewoon Kwak publishes mostly in Artificial Intelligence, Sociology and Political Science and Statistical and Nonlinear Physics, on topics such as Misinformation and Its Impacts, Complex Network Analysis Techniques and Social Media and Politics.

ORCID 0000-0003-1418-0834 OpenAlex
World rank
#79,524
of 7,710,434 ranked researchers
Rank in Qatar
#73
of 3,423
Works
234
Citations
15k
Citations per work
64.0
h-index
43
i10-index 86Top 1.7% in Artificial Intelligence
Haewoon Kwak

What does Haewoon Kwak research?

Haewoon Kwak's work is mostly in Computer Science (29%), Social Sciences (21%), Physics and Astronomy (11%).

Physical Sciences: 94 works · 40.2% of their workComputer Science: 68 works · 29.1% of their workArtificial Intelligence: 38 works · 16.4% of their workHuman-Computer Interaction: 17 works · 7.4% of their workInformation Systems: 12 works · 5.3% of their workPhysics and Astronomy: 26 works · 11.1% of their workStatistical and Nonlinear Physics: 26 works · 11.1% of their workEverything else: 90 works · 38.4% of their workSocial Sciences: 50 works · 21.4% of their workSocial Sciences: 50 works · 21.4% of their workSociology and Political Science: 32 works · 13.8% of their workCommunication: 18 works · 7.6% of their workTHEIR WORKHaewoon Kwak234works
Physical Sciences40%Social Sciences21%

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. Computer Science6829.1%
    2. Physics and Astronomy2611.1%
  2. Everything else9038.4%
    1. Social Sciences5021.4%
  1. 1Artificial Intelligence16% of their works
  2. 2Sociology and Political Science14% of their works
  3. 3Statistical and Nonlinear Physics11% of their works
  4. 4Communication8% of their works
  5. 5Human-Computer Interaction7% of their works
  6. 6Information Systems5% of their works

Research topics

Which keywords describe Haewoon Kwak's research?

The keywords of their largest research topics: Social Media, Polarization, Network Dynamics, Social Influence, Fake News, Misinformation, Community Structure and Scale-Free Networks.

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 Media1013 topics
  2. Polarization722 topics
  3. Network Dynamics672 topics
  4. Social Influence672 topics
  5. Fake News421 topic
  6. Misinformation421 topic
  7. Community Structure371 topic
  8. Scale-Free Networks371 topic
  9. Digital Divide341 topic
  10. Political Participation341 topic
  11. Bounded Confidence301 topic
  12. Opinion Dynamics301 topic
  13. Detection251 topic
  14. Hate Speech251 topic
  15. Personas251 topic
  16. User-Centered Design251 topic
  17. Neural Networks241 topic
  18. Word Representation241 topic
  19. Design Research181 topic
  20. User Experience181 topic

Where does Haewoon Kwak work?

Haewoon Kwak's main affiliation in the publication record is Hamad bin Khalifa University, Qatar.

How many publications and citations does Haewoon Kwak have?

OpenAlex counts 234 works and 14,968 citations for Haewoon Kwak, an h-index of 43, ranking #79,524 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

Ask a question or share a note about Haewoon Kwak. Keep it to the research: no personal attacks, advertising or links. Any reader can report a post, which collapses it for everyone until it is opened.