Eunsook Kim

3.9k total citations · 2 hit papers
142 papers, 2.5k citations indexed

About

Eunsook Kim is a scholar working on Statistics and Probability, Education and Computer Networks and Communications. According to data from OpenAlex, Eunsook Kim has authored 142 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Statistics and Probability, 24 papers in Education and 23 papers in Computer Networks and Communications. Recurrent topics in Eunsook Kim's work include Psychometric Methodologies and Testing (21 papers), Statistical Methods and Bayesian Inference (15 papers) and Advanced Statistical Modeling Techniques (13 papers). Eunsook Kim is often cited by papers focused on Psychometric Methodologies and Testing (21 papers), Statistical Methods and Bayesian Inference (15 papers) and Advanced Statistical Modeling Techniques (13 papers). Eunsook Kim collaborates with scholars based in United States, South Korea and Japan. Eunsook Kim's co-authors include Felix Thoemmes, Myeongsun Yoon, Yan Wang, Roger D. Goddard, Yvonne Goddard, Robert J. Miller, Chunhua Cao, Diep Nguyen, Satoshi Yamamoto and Victor L. Willson and has published in prestigious journals such as The Journal of Chemical Physics, SHILAP Revista de lepidopterología and Journal of Applied Physics.

In The Last Decade

Eunsook Kim

130 papers receiving 2.4k citations

Hit Papers

A Systematic Review of Propensity Score Methods in the So... 2011 2026 2016 2021 2011 2015 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Eunsook Kim United States 26 686 361 337 292 290 142 2.5k
Jeffrey D. Kromrey United States 27 696 1.0× 399 1.1× 348 1.0× 263 0.9× 348 1.2× 130 2.9k
R. Philip Chalmers Canada 15 304 0.4× 519 1.4× 382 1.1× 778 2.7× 378 1.3× 31 2.4k
David Rogosa United States 16 486 0.7× 520 1.4× 483 1.4× 290 1.0× 354 1.2× 39 2.6k
Thomas A. Schmitt United States 16 358 0.5× 822 2.3× 671 2.0× 239 0.8× 146 0.5× 32 2.4k
Ann A. O’Connell United States 24 1.1k 1.6× 183 0.5× 301 0.9× 103 0.4× 235 0.8× 66 3.1k
Edward W. Wolfe United States 31 883 1.3× 164 0.5× 415 1.2× 578 2.0× 139 0.5× 147 3.2k
Feinian Chen United States 21 317 0.5× 558 1.5× 569 1.7× 364 1.2× 232 0.8× 46 3.4k
Donna L. Coffman United States 29 241 0.4× 656 1.8× 512 1.5× 239 0.8× 360 1.2× 108 3.1k
Felix Thoemmes United States 22 311 0.5× 500 1.4× 536 1.6× 136 0.5× 426 1.5× 49 2.5k
E. C. Hedberg United States 21 487 0.7× 243 0.7× 147 0.4× 134 0.5× 337 1.2× 47 1.8k

Countries citing papers authored by Eunsook Kim

Since Specialization
Citations

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

Fields of papers citing papers by Eunsook Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eunsook Kim

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

All Works

20 of 20 papers shown
1.
2.
Gray, Heewon L., Eunsook Kim, Emily Shaffer‐Hudkins, et al.. (2024). Recruitment feasibility and dietary and behavioral patterns in toddlers with ASD: Preliminary results from the Autism Eats program. Contemporary Clinical Trials. 146. 107688–107688. 2 indexed citations
3.
Cao, Chunhua, Yan Wang, & Eunsook Kim. (2024). Multilevel Factor Mixture Modeling: A Tutorial for Multilevel Constructs. Structural Equation Modeling A Multidisciplinary Journal. 32(1). 155–171. 1 indexed citations
4.
Liu, Yujuan & Eunsook Kim. (2024). Investigating Student Intrinsic Motivation Trends over One Semester in an Online General Chemistry II Course. Journal of Chemical Education. 101(6). 2175–2187. 2 indexed citations
5.
Embse, Nathaniel P. von der, et al.. (2023). Multi-informant Assessment of Internalizing Concerns: Rater Concordance and Implications for Decision-Making. Journal of Psychopathology and Behavioral Assessment. 45(1). 234–246. 5 indexed citations
6.
Hadley, Elizabeth Burke, et al.. (2023). State-Funded Pre-K and Children’s Language and Literacy Development: The Case of COVID-19. Educational Researcher. 52(7). 434–443. 3 indexed citations
7.
Wang, Yan, Chunhua Cao, & Eunsook Kim. (2022). Covariate inclusion in factor mixture modeling: Evaluating one-step and three-step approaches under model misspecification and overfitting. Behavior Research Methods. 55(6). 3281–3296. 1 indexed citations
8.
Lee, Hyejung, et al.. (2022). Analysis of the importance of nursing care and performance confidence perceived by nurses in the neonatal intensive care unit. The Journal of Korean Academic Society of Nursing Education. 28(1). 5–14. 1 indexed citations
9.
Cao, Chunhua, Eunsook Kim, Yi‐Hsin Chen, & John M. Ferron. (2021). Examining the Impact of and Sensitivity of Fit Indices to Omitting Covariates Interaction Effect in Multilevel Multiple-Indicator Multiple-Cause Models. Educational and Psychological Measurement. 81(5). 817–846. 1 indexed citations
10.
Nguyen, Diep, et al.. (2020). Empirical Comparison of Tests for One-Factor ANOVA Under Heterogeneity and Non-Normality: A Monte Carlo Study. Human Biology. 18(2). 2–30. 6 indexed citations
11.
Kim, Eunsook, et al.. (2020). The Impact of Measurement Noninvariance on Latent Change Score Modeling: A Monte Carlo Simulation Study. Structural Equation Modeling A Multidisciplinary Journal. 27(6). 918–930. 6 indexed citations
12.
Jang, Seulki, Tammy D. Allen, Eunsook Kim, & Seonghee Cho. (2020). An examination of the temporal order of helping behaviours and emotional exhaustion. Stress and Health. 36(5). 663–674. 11 indexed citations
14.
Wang, Yan, Diep Nguyen, Eunsook Kim, et al.. (2019). Evaluating the Efficacy of Conditional Analysis of Variance under Heterogeneity and Non-Normality. Journal of Modern Applied Statistical Methods. 17(2). 1 indexed citations
15.
Nguyen, Diep, Yi‐Hsin Chen, & Eunsook Kim. (2019). Can One Test Fit All? Responses to the Article “Striving for Simple but Effective Advice for Comparing the Central Tendency of Two Populations” (Ruxton & Neuhäuser, 2018). Journal of Modern Applied Statistical Methods. 17(2). 1 indexed citations
16.
Li, Isaac T. S., Yi‐Hsin Chen, Yan Wang, et al.. (2017). JMASM 47: ANOVA_HOV: A SAS Macro for Testing Homogeneity of Variance in One-Factor ANOVA Models (SAS). Journal of Modern Applied Statistical Methods. 16(2). 506–539. 1 indexed citations
17.
Park, Jinho, et al.. (2017). Recognition and Needs about a Capstone Design Course for University Students Who Major in Nonengineering. 11(3). 109–130. 1 indexed citations
18.
Nguyen, Diep, et al.. (2016). Parametric Tests for Two Population Means under Normal and Non-Normal Distributions. Journal of Modern Applied Statistical Methods. 15(1). 141–159. 8 indexed citations
19.
Kim, Eunsook, Oi‐Man Kwok, & Myeongsun Yoon. (2012). Testing Factorial Invariance in Multilevel Data: A Monte Carlo Study. Structural Equation Modeling A Multidisciplinary Journal. 19(2). 250–267. 48 indexed citations
20.
Thoemmes, Felix & Eunsook Kim. (2011). A Systematic Review of Propensity Score Methods in the Social Sciences. Multivariate Behavioral Research. 46(1). 90–118. 399 indexed citations breakdown →

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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