Tacksoo Shin

415 total citations
15 papers, 304 citations indexed

About

Tacksoo Shin is a scholar working on Information Systems, Sociology and Political Science and Education. According to data from OpenAlex, Tacksoo Shin has authored 15 papers receiving a total of 304 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Information Systems, 4 papers in Sociology and Political Science and 4 papers in Education. Recurrent topics in Tacksoo Shin's work include Psychosocial Factors Impacting Youth (4 papers), Statistical Methods and Bayesian Inference (3 papers) and Education and Learning Interventions (3 papers). Tacksoo Shin is often cited by papers focused on Psychosocial Factors Impacting Youth (4 papers), Statistical Methods and Bayesian Inference (3 papers) and Education and Learning Interventions (3 papers). Tacksoo Shin collaborates with scholars based in South Korea, United States and China. Tacksoo Shin's co-authors include Jeffrey D. Long, Mark L. Davison, Chi‐Keung Chan, David Heistad, Minjeong Park, Dong-Jin Park and Jongho Shin and has published in prestigious journals such as Psychological Methods, Structural Equation Modeling A Multidisciplinary Journal and Learning and Individual Differences.

In The Last Decade

Tacksoo Shin

13 papers receiving 291 citations

Peers

Tacksoo Shin
John Bielinski United States
Cathy Yun United States
Shenghai Dai United States
Ana María Serrano Portugal
Ángel M. Fidalgo Spain
Farrah B. Mann United States
Siek-Toon Khoo United States
Susan M. Tracz United States
Johannes Schult Germany
Sandra M. Linder United States
John Bielinski United States
Tacksoo Shin
Citations per year, relative to Tacksoo Shin Tacksoo Shin (= 1×) peers John Bielinski

Countries citing papers authored by Tacksoo Shin

Since Specialization
Citations

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

Fields of papers citing papers by Tacksoo Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tacksoo Shin

This figure shows the co-authorship network connecting the top 25 collaborators of Tacksoo Shin. A scholar is included among the top collaborators of Tacksoo Shin 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 Tacksoo Shin. Tacksoo Shin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Park, Dong-Jin & Tacksoo Shin. (2022). Analysis of Cause and Effect Transitions of Acculturation Stress, Social Withdrawal, and Depression among Multicultural Adolescents. Korean Journal of Youth Studies. 29(7). 275–308. 1 indexed citations
2.
Shin, Tacksoo, Jeffrey D. Long, & Mark L. Davison. (2022). An evaluation of methods to handle missing data in the context of latent variable interaction analysis: multiple imputation, maximum likelihood, and random forest algorithm. Japanese Journal of Statistics and Data Science. 5(2). 629–659. 3 indexed citations
3.
Shin, Tacksoo, et al.. (2019). Profile of second language learners' metacognitive awareness and academic motivation for successful listening: A latent class analysis. Learning and Individual Differences. 70. 62–75. 43 indexed citations
4.
5.
Shin, Tacksoo, Mark L. Davison, & Jeffrey D. Long. (2016). Maximum likelihood versus multiple imputation for missing data in small longitudinal samples with nonnormality.. Psychological Methods. 22(3). 426–449. 91 indexed citations
6.
Shin, Tacksoo, et al.. (2015). The Effects of Adolescents' Stress on Suicidal Ideation: Focusing on The Moderating and Mediating Effects of Depression and Social Support. Korean Journal of Youth Studies. 22(5). 27–51. 7 indexed citations
7.
Shin, Tacksoo. (2014). Review and Application of Missing Data Methods: Focusing on longitudinal achievement data. 27(3). 693–725.
8.
Shin, Tacksoo, et al.. (2012). A Longitudinal Study on the Effects of the Developmental Changes in Students’ Relationship with Their Teachers and Peers on Self-Determination During Middle and High School. The Korean Journal of Educational Psychology. 26(2). 429–459. 2 indexed citations
9.
Shin, Tacksoo, Mark L. Davison, Jeffrey D. Long, Chi‐Keung Chan, & David Heistad. (2012). Exploring gains in reading and mathematics achievement among regular and exceptional students using growth curve modeling. Learning and Individual Differences. 23. 92–100. 65 indexed citations
10.
11.
Shin, Tacksoo. (2010). Latent Class Study Using Longitudinal Profile Analysis and Cluster Analysis: Comparing Growth Mixture Modeling. 23(3). 641–664. 2 indexed citations
12.
Shin, Tacksoo, et al.. (2010). Item Difficulty Predictors of a Multiple-choice Reading Test. English Teaching Practice & Critique. 65(4). 257–282. 1 indexed citations
13.
Shin, Tacksoo, Mark L. Davison, & Jeffrey D. Long. (2009). Effects of Missing Data Methods in Structural Equation Modeling With Nonnormal Longitudinal Data. Structural Equation Modeling A Multidisciplinary Journal. 16(1). 70–98. 69 indexed citations
14.
15.
Park, Minjeong, et al.. (2007). A review of human competence in educational research: Levels of K- 12, College, Adult, and Business Education. Asia Pacific Education Review. 8(3). 500–520. 5 indexed citations

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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2026