Janghee Cho

29 total papers · 621 total citations
16 papers, 368 citations indexed

About

Janghee Cho is a scholar working on Human-Computer Interaction, Sociology and Political Science and Artificial Intelligence. According to data from OpenAlex, Janghee Cho has authored 16 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Human-Computer Interaction, 5 papers in Sociology and Political Science and 4 papers in Artificial Intelligence. Recurrent topics in Janghee Cho's work include Innovative Human-Technology Interaction (6 papers), Technology Use by Older Adults (4 papers) and Digital Economy and Work Transformation (3 papers). Janghee Cho is often cited by papers focused on Innovative Human-Technology Interaction (6 papers), Technology Use by Older Adults (4 papers) and Digital Economy and Work Transformation (3 papers). Janghee Cho collaborates with scholars based in United States, Singapore and Australia. Janghee Cho's co-authors include Emilee Rader, Kelley Cotter, Stephen Voida, Samuel J. Beck, Laura Devendorf, Rick Wash, Junnan Yu, Amy Voida, Kazjon Grace and Virpi Roto and has published in prestigious journals such as ACM Transactions on Computer-Human Interaction, Computer Supported Cooperative Work (CSCW) and Proceedings of the ACM on Human-Computer Interaction.

In The Last Decade

Janghee Cho

12 papers receiving 353 citations

Hit Papers

Explanations as Mechanism... 2018 2026 2020 2023 2018 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Janghee Cho 171 119 101 82 48 16 368
Aaron Springer 101 0.6× 92 0.8× 63 0.6× 52 0.6× 50 1.0× 17 343
Megan French 112 0.7× 90 0.8× 179 1.8× 61 0.7× 47 1.0× 9 360
Danaë Metaxa 121 0.7× 99 0.8× 185 1.8× 68 0.8× 18 0.4× 25 445
Ziang Xiao 228 1.3× 39 0.3× 109 1.1× 51 0.6× 45 0.9× 30 434
Astrid Carolus 150 0.9× 82 0.7× 74 0.7× 35 0.4× 86 1.8× 26 378
Minjin Rheu 186 1.1× 70 0.6× 77 0.8× 66 0.8× 136 2.8× 16 407
Jess Holbrook 138 0.8× 89 0.7× 79 0.8× 44 0.5× 64 1.3× 10 349
Amirhossein Aleyasen 100 0.6× 139 1.2× 220 2.2× 86 1.0× 25 0.5× 11 432
Valdemar Danry 98 0.6× 39 0.3× 36 0.4× 67 0.8× 49 1.0× 17 336
Stephan Diederich 232 1.4× 36 0.3× 107 1.1× 57 0.7× 104 2.2× 21 408

Countries citing papers authored by Janghee Cho

Since Specialization
Citations

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

Fields of papers citing papers by Janghee Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Janghee Cho

This figure shows the co-authorship network connecting the top 25 collaborators of Janghee Cho. A scholar is included among the top collaborators of Janghee Cho 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 Janghee Cho. Janghee Cho 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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