Gyeongmin Kim

39 papers and 310 indexed citations i.

About

Gyeongmin Kim is a scholar working on Molecular Biology, Artificial Intelligence and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Gyeongmin Kim has authored 39 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Artificial Intelligence and 7 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Gyeongmin Kim’s work include Topic Modeling (6 papers), Natural Language Processing Techniques (5 papers) and Genetic diversity and population structure (4 papers). Gyeongmin Kim is often cited by papers focused on Topic Modeling (6 papers), Natural Language Processing Techniques (5 papers) and Genetic diversity and population structure (4 papers). Gyeongmin Kim collaborates with scholars based in South Korea, United States and Vietnam. Gyeongmin Kim's co-authors include Heuiseok Lim, Jin Hur, Jong‐Hoon Kim, Jaechoon Jo, Chanhee Lee, Choongseong Han, Dong–Hun Woo, Han‐Jin Park, Sang Kyum Kim and Ui Wook Hwang and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Biomaterials.

In The Last Decade

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

Fields of papers citing papers by Gyeongmin Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gyeongmin Kim

Since Specialization
Citations

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