Insu Paek
- Management Science and Operations Research top 2%
- Education top 10%
- Computer Networks and Communications top 10%
- Experimental and Cognitive Psychology top 10%
- Statistics and Probability top 5%
- Co-authors
- Jihyun LeeMark WilsonKyung T. HanOu Lydia LiuHongwen GuoLi CaiJoseph A. RiosShelby J. Haberman
- Topics
- Psychometric Methodologies and Testing (34 papers)Advanced Statistical Modeling Techniques (33 papers)Statistical Methods and Bayesian Inference (7 papers)
- Cited by
- Management Science and Operations ResearchStatistics and ProbabilityExperimental and Cognitive Psychology
- Journals
- SHILAP Revista de lepidopterologíaPsychometrikaEducational and Psychological Measurement
- Partner nations
- United StatesTürkiyeSouth Korea
In The Last Decade
Insu Paek
47 papers receiving 612 citations
Peers
Comparison fields: 5 of 113
- Management Science and Operations Research 261
- Education 148
- Computer Networks and Communications 146
- Experimental and Cognitive Psychology 127
- Statistics and Probability 122
Countries citing papers authored by Insu Paek
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).
Fields of papers citing papers by Insu Paek
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.
Co-authorship network of co-authors of Insu Paek
This figure shows the co-authorship network connecting the top 25 collaborators of Insu Paek. A scholar is included among the top collaborators of Insu Paek based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Insu Paek. Insu Paek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 62 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 2 | |
| 8 | 14 | |
| 9 | 1 | |
| 10 | Psychometric Report for the Early Fractions Test (Version 2.2) Administered with Third- and Fourth-Grade Students in Spring 2017. Research Report No. 2017-11. | 1 |
| 11 | 14 | |
| 12 | 15 | |
| 13 | 7 | |
| 14 | An Alternative to the Trend Scoring Method for Adjusting Scoring Shifts in Mixed-Format Tests | 0 |
| 15 | 4 | |
| 16 | 9 | |
| 17 | 26 | |
| 18 | 8 | |
| 19 | 13 | |
| 20 | The impact of data collection design, linking method, and sample size on vertical scaling using the Rasch model. | 1 |
About Insu Paek
Insu Paek is a scholar working on Management Science and Operations Research, Statistics and Probability and Computer Networks and Communications, having authored 51 papers that have together received 654 indexed citations. Recurring topics across this work include Psychometric Methodologies and Testing (34 papers), Advanced Statistical Modeling Techniques (33 papers) and Statistical Methods and Bayesian Inference (7 papers). The work is most often cited by research in Management Science and Operations Research (261 citations), Statistics and Probability (122 citations) and Experimental and Cognitive Psychology (127 citations). Insu Paek has collaborated with scholars based in United States, Türkiye and South Korea. Frequent co-authors include Jihyun Lee, Mark Wilson, Kyung T. Han, Ou Lydia Liu, Hongwen Guo, Li Cai, Joseph A. Rios, Shelby J. Haberman, Jing Wang and Lazar Stankov. Their work appears in journals such as SHILAP Revista de lepidopterología, Psychometrika and Educational and Psychological Measurement.
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.