Jina Suh

106 total papers · 3.9k total citations
57 papers, 2.1k citations indexed

About

Jina Suh is a scholar working on Artificial Intelligence, Applied Psychology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jina Suh has authored 57 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 13 papers in Applied Psychology and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jina Suh's work include Digital Mental Health Interventions (11 papers), Data Visualization and Analytics (9 papers) and Innovative Human-Technology Interaction (8 papers). Jina Suh is often cited by papers focused on Digital Mental Health Interventions (11 papers), Data Visualization and Analytics (9 papers) and Innovative Human-Technology Interaction (8 papers). Jina Suh collaborates with scholars based in United States, United Kingdom and Canada. Jina Suh's co-authors include Saleema Amershi, Eric Horvitz, Shamsi T. Iqbal, Jaime Teevan, Adam Fourney, Besmira Nushi, Mihaela Vorvoreanu, Dan Weld, Paul N. Bennett and Kori Inkpen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Jina Suh

48 papers receiving 2.0k citations

Hit Papers

Guidelines for Human-AI I... 2019 2026 2021 2023 2019 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Jina Suh 1.1k 428 349 286 282 57 2.1k
Brian Y. Lim 1.3k 1.2× 367 0.9× 451 1.3× 338 1.2× 203 0.7× 53 2.3k
Carrie J. Cai 1.1k 1.1× 367 0.9× 322 0.9× 283 1.0× 204 0.7× 38 2.4k
Dakuo Wang 984 0.9× 275 0.6× 308 0.9× 301 1.1× 294 1.0× 94 2.3k
Qian Yang 1.0k 0.9× 279 0.7× 540 1.5× 457 1.6× 199 0.7× 38 2.1k
Adam Fourney 627 0.6× 226 0.5× 249 0.7× 276 1.0× 206 0.7× 54 1.5k
Michael Terry 920 0.9× 637 1.5× 264 0.8× 615 2.2× 198 0.7× 80 2.8k
Q. Vera Liao 923 0.9× 132 0.3× 389 1.1× 167 0.6× 198 0.7× 62 1.7k
Mihaela Vorvoreanu 545 0.5× 161 0.4× 252 0.7× 246 0.9× 213 0.8× 47 1.6k
Besmira Nushi 992 0.9× 206 0.5× 497 1.4× 194 0.7× 311 1.1× 19 2.0k
Jo Vermeulen 402 0.4× 513 1.2× 172 0.5× 855 3.0× 144 0.5× 61 1.9k

Countries citing papers authored by Jina Suh

Since Specialization
Citations

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

Fields of papers citing papers by Jina Suh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jina Suh

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