Hyosun Kwon

37 total papers · 464 total citations
20 papers, 316 citations indexed

About

Hyosun Kwon is a scholar working on Human-Computer Interaction, Sociology and Political Science and Computer Vision and Pattern Recognition. According to data from OpenAlex, Hyosun Kwon has authored 20 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Human-Computer Interaction, 7 papers in Sociology and Political Science and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Hyosun Kwon's work include Innovative Human-Technology Interaction (12 papers), Interactive and Immersive Displays (5 papers) and Impact of Technology on Adolescents (4 papers). Hyosun Kwon is often cited by papers focused on Innovative Human-Technology Interaction (12 papers), Interactive and Immersive Displays (5 papers) and Impact of Technology on Adolescents (4 papers). Hyosun Kwon collaborates with scholars based in United Kingdom, South Korea and United States. Hyosun Kwon's co-authors include Laku Chidambaram, James Colley, Steve Benford, Martin Flintham, Joel E. Fischer, Holger Schnädelbach, Boriana Koleva, Woohun Lee, Hwan Kim and Young‐Woo Park and has published in prestigious journals such as ACM Transactions on Computer-Human Interaction, Personal and Ubiquitous Computing and Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies.

In The Last Decade

Hyosun Kwon

15 papers receiving 273 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Hyosun Kwon 139 133 95 41 38 20 316
Castulus Kolo 36 0.3× 147 1.1× 78 0.8× 35 0.9× 28 0.7× 24 351
Jane Peck 81 0.6× 159 1.2× 108 1.1× 34 0.8× 33 0.9× 7 324
Mads Bødker 40 0.3× 131 1.0× 116 1.2× 42 1.0× 31 0.8× 40 322
Leon Cruickshank 29 0.2× 98 0.7× 100 1.1× 25 0.6× 34 0.9× 48 358
Suparna Goswami 72 0.5× 129 1.0× 49 0.5× 47 1.1× 26 0.7× 36 357
Fernanda Francielle de Oliveira Malaquias 114 0.8× 70 0.5× 17 0.2× 40 1.0× 38 1.0× 29 299
Danny Woosik Choi 152 1.1× 133 1.0× 117 1.2× 89 2.2× 33 0.9× 9 359
Ruba Aljafari 105 0.8× 105 0.8× 31 0.3× 30 0.7× 54 1.4× 16 328
Kai K. Kimppa 33 0.2× 120 0.9× 27 0.3× 23 0.6× 64 1.7× 32 289
Dave Hobbs 56 0.4× 76 0.6× 81 0.9× 21 0.5× 22 0.6× 21 331

Countries citing papers authored by Hyosun Kwon

Since Specialization
Citations

This map shows the geographic impact of Hyosun Kwon'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 Hyosun Kwon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hyosun Kwon more than expected).

Fields of papers citing papers by Hyosun Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hyosun Kwon. 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 Hyosun Kwon. The network helps show where Hyosun Kwon may publish in the future.

Co-authorship network of co-authors of Hyosun Kwon

This figure shows the co-authorship network connecting the top 25 collaborators of Hyosun Kwon. A scholar is included among the top collaborators of Hyosun Kwon based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hyosun Kwon. Hyosun Kwon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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