Soung Hie Kim

About

Soung Hie Kim is a scholar working on Management Science and Operations Research, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Soung Hie Kim has authored 52 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Management Science and Operations Research, 18 papers in Artificial Intelligence and 12 papers in Control and Systems Engineering. Recurrent topics in Soung Hie Kim’s work include Multi-Criteria Decision Making (19 papers), Optimization and Mathematical Programming (12 papers) and Bayesian Modeling and Causal Inference (6 papers). Soung Hie Kim is often cited by papers focused on Multi-Criteria Decision Making (19 papers), Optimization and Mathematical Programming (12 papers) and Bayesian Modeling and Causal Inference (6 papers). Soung Hie Kim collaborates with scholars based in South Korea, United States and Latvia. Soung Hie Kim's co-authors include Kyung Sam Park, Jae Kyeong Kim, Byeong Seok Ahn, Jin Woo Lee, Yoon Ho Cho, Chang Hee Han, Hee Seok Song, Chang-Hoon Shin, Kim Chul-Min and Subin Im and has published in prestigious journals such as European Journal of Operational Research, Expert Systems with Applications and Journal of the Operational Research Society.

In The Last Decade

Co-authorship network of co-authors of Soung Hie Kim i

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Fields of papers citing papers by Soung Hie Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Soung Hie Kim

Since Specialization

Citations

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