Sooyeon Kim

49 papers and 240 indexed citations i.

About

Sooyeon Kim is a scholar working on Management Science and Operations Research, Computer Networks and Communications and Statistics, Probability and Uncertainty. According to data from OpenAlex, Sooyeon Kim has authored 49 papers receiving a total of 240 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Management Science and Operations Research, 21 papers in Computer Networks and Communications and 11 papers in Statistics, Probability and Uncertainty. Recurrent topics in Sooyeon Kim’s work include Measurement Invariance in Structural Equation Modeling (35 papers), Advanced Statistical Modeling Techniques (20 papers) and Reliability and Agreement in Measurement (8 papers). Sooyeon Kim is often cited by papers focused on Measurement Invariance in Structural Equation Modeling (35 papers), Advanced Statistical Modeling Techniques (20 papers) and Reliability and Agreement in Measurement (8 papers). Sooyeon Kim collaborates with scholars based in United States and South Korea. Sooyeon Kim's co-authors include Samuel A. Livingston, Michael E. Walker, Tim Moses, Charles Lewis, Shelby J. Haberman, Gautam Puhan, Alina A. von Davier, Michael Walker, Kyunghwa Lee and Patrick C. Kyllonen and has published in prestigious journals such as Applied Psychological Measurement, Journal of Educational Measurement and Educational Measurement Issues and Practice.

In The Last Decade

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

Fields of papers citing papers by Sooyeon Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sooyeon Kim

Since Specialization
Citations

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