Seok Kim

63 papers and 925 indexed citations i.

About

Seok Kim is a scholar working on Health Information Management, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Seok Kim has authored 63 papers receiving a total of 925 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Health Information Management, 13 papers in Molecular Biology and 10 papers in Artificial Intelligence. Recurrent topics in Seok Kim’s work include Electronic Health Records Systems (12 papers), Mobile Health Interventions and Applications (7 papers) and Biomedical Text Mining and Ontologies (6 papers). Seok Kim is often cited by papers focused on Electronic Health Records Systems (12 papers), Mobile Health Interventions and Applications (7 papers) and Biomedical Text Mining and Ontologies (6 papers). Seok Kim collaborates with scholars based in South Korea, United States and Slovakia. Seok Kim's co-authors include Hee Hwang, Sooyoung Yoo, Keehyuck Lee, Minseok Song, Minsu Cho, Hyunyoung Baek, Rong‐Min Baek, Seon Min Woo, Taeg Kyu Kwon and Seung Un Seo and has published in prestigious journals such as PLoS ONE, Neurology and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Seok Kim i

Fields of papers citing papers by Seok Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Seok Kim

Since Specialization
Citations

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

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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2025