Bongwon Suh

75 papers receiving 4.8k citations

Bongwon Suh's Hit Papers

Tweets from Justin Bieber's heart 2011 · 345 citations
3450+6+12Years since publication4008001.2k

Peers

Bongwon Suh
Comparison fields: 5 of 133
  • Computer Science Applications 1.3k
  • Communication 1.3k
  • Human-Computer Interaction 429
  • Statistical and Nonlinear Physics 771
  • Information Systems 1.0k
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Citations per year

Countries citing papers authored by Bongwon Suh

Since Specialization
Citations

This map shows the geographic impact of Bongwon Suh's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Bongwon Suh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bongwon Suh more than expected).

Fields of papers citing papers by Bongwon Suh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bongwon Suh. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Bongwon Suh. The network helps show where Bongwon Suh may publish in the future.

Co-authors

The 25 scholars most cited alongside Bongwon Suh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Bongwon Suh Line = papers co-authored together Bongwon Suh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Crowdsourcing user studies with Mechanical Turk
Hit paper breakdown →
20081351
2
Want to be Retweeted? Large Scale Analytics on Factors Impacting Retweet in Twitter Network
Hit paper breakdown →
2010829
3 2007387
4
Tweets from Justin Bieber's heart
Hit paper breakdown →
2011345
5 2003306
6 2018213
7 2009157
8 2010117
9 201998
10 200895
11 201193
12 200987
13 202086
14 200879
15 201973
16 200762
17 201756
18 201545
19 200644
20 200244

About Bongwon Suh

Bongwon Suh is a scholar working on Sociology and Political Science, Artificial Intelligence, Computer Vision and Pattern Recognition, Human-Computer Interaction and Communication, having authored 83 papers that have together received 5.1k indexed citations. Recurring topics across this work include Wikis in Education and Collaboration (10 papers), Video Analysis and Summarization (8 papers), Interactive and Immersive Displays (7 papers), Tactile and Sensory Interactions (7 papers), Open Source Software Innovations (7 papers), Multimedia Communication and Technology (6 papers), Complex Network Analysis Techniques (6 papers) and Data Visualization and Analytics (5 papers). The work is most often cited by research in Computer Science Applications (1.3k citations), Communication (1.3k citations), Human-Computer Interaction (429 citations), Statistical and Nonlinear Physics (771 citations) and Information Systems (1.0k citations). Bongwon Suh has collaborated with scholars based in South Korea, United States and Norway. Frequent co-authors include Ed H., Aniket Kittur, Lichan Hong, Peter Pirolli, Bryan A. Pendleton, Benjamin B. Bederson, Changhoon Oh, Brent Hecht, Haibin Ling and David W. Jacobs. Their work appears in journals such as Journal of Medical Internet Research, Proceedings of the ACM on Human-Computer Interaction, Medicine, Interacting with Computers and Educational Technology Research and Development.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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