Insu Paek

About

Insu Paek is a scholar working on Management Science and Operations Research, Computer Networks and Communications and Statistics and Probability. According to data from OpenAlex, Insu Paek has authored 48 papers receiving a total of 557 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Management Science and Operations Research, 32 papers in Computer Networks and Communications and 17 papers in Statistics and Probability. Recurrent topics in Insu Paek’s work include Measurement Invariance in Structural Equation Modeling (33 papers), Advanced Statistical Modeling Techniques (32 papers) and Statistical Methods and Bayesian Inference (7 papers). Insu Paek is often cited by papers focused on Measurement Invariance in Structural Equation Modeling (33 papers), Advanced Statistical Modeling Techniques (32 papers) and Statistical Methods and Bayesian Inference (7 papers). Insu Paek collaborates with scholars based in United States, South Korea and Türkiye. Insu Paek's co-authors include Jihyun Lee, Mark Wilson, Kyung T. Han, Ou Lydia Liu, Li Cai, Hongwen Guo, Jing Wang, Joseph A. Rios, Lazar Stankov and Shelby J. Haberman and has published in prestigious journals such as Psychometrika, Educational and Psychological Measurement and Behavior Research Methods.

In The Last Decade

Co-authorship network of co-authors of Insu Paek i

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Fields of papers citing papers by Insu Paek

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Insu Paek

Since Specialization

Citations

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