Euntai Kim

About

Euntai Kim is a scholar working on Artificial Intelligence, Statistics and Probability and Industrial relations. According to data from OpenAlex, Euntai Kim has authored 2 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 2 papers in Statistics and Probability and 0 papers in Industrial relations. Recurrent topics in Euntai Kim’s work include Fuzzy Systems and Optimization (2 papers), Fuzzy Logic and Control Systems (2 papers) and Neural Networks and Applications (2 papers). Euntai Kim is often cited by papers focused on Fuzzy Systems and Optimization (2 papers), Fuzzy Logic and Control Systems (2 papers) and Neural Networks and Applications (2 papers). Euntai Kim collaborates with scholars based in South Korea. Euntai Kim's co-authors include Min-Kee Park, Seunghwan Ji, Mignon Park and Heejin Lee and has published in prestigious journals such as Information Sciences and IEEE Transactions on Fuzzy Systems.

In The Last Decade

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

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Fields of papers citing papers by Euntai Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Euntai Kim

Since Specialization

Citations

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