Chanmin Kim

607 total citations
28 papers, 268 citations indexed

About

Chanmin Kim is a scholar working on Statistics and Probability, Artificial Intelligence and Economics and Econometrics. According to data from OpenAlex, Chanmin Kim has authored 28 papers receiving a total of 268 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Statistics and Probability, 5 papers in Artificial Intelligence and 5 papers in Economics and Econometrics. Recurrent topics in Chanmin Kim's work include Statistical Methods and Bayesian Inference (14 papers), Statistical Methods and Inference (9 papers) and Advanced Causal Inference Techniques (8 papers). Chanmin Kim is often cited by papers focused on Statistical Methods and Bayesian Inference (14 papers), Statistical Methods and Inference (9 papers) and Advanced Causal Inference Techniques (8 papers). Chanmin Kim collaborates with scholars based in South Korea, United States and United Kingdom. Chanmin Kim's co-authors include Michael J. Daniels, Jason Roy, Michael G. Perri, Corwin Zigler, Christine Choirat, Joseph W. Hogan, Bess H. Marcus, Marian C. Limacher, Yoosoo Chang and Tiffany A. Radcliff and has published in prestigious journals such as Gastroenterology, Biometrics and Journal of Allergy and Clinical Immunology.

In The Last Decade

Chanmin Kim

24 papers receiving 265 citations

Peers

Chanmin Kim

HTM

PHEOH

Rachael V. Phillips United States

Valérie Garès France

Nadine Marlin United Kingdom

Sara Geneletti United Kingdom

Fatemeh Sarvi Iran

Camille Craig Canada

Amel Mahboubi Canada

Veronika Deffner Germany

Priscilla Lopez United States

Julie M. Petersen United States

Rachael V. Phillips United States

Chanmin Kim

75 ×0.9

48 ×1.1

HTM

38 ×1.0

PHEOH

37 ×1.2

86 ×3.4

Citations per year, relative to Chanmin Kim Chanmin Kim (= 1×) peers Rachael V. Phillips

Countries citing papers authored by Chanmin Kim

Since Specialization

Citations

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

Fields of papers citing papers by Chanmin Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chanmin Kim

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

All Works

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20 of 20 papers shown

Cheong, Hae Suk, Yoosoo Chang, Yejin Kim, et al.. (2024). Human papillomavirus infection and cardiovascular mortality: a cohort study. European Heart Journal. 45(12). 1072–1082. 15 indexed citations

Park, Jungeun, Yoosoo Chang, Jae Heon Kim, et al.. (2024). Overactive bladder and cognitive impairment in middle-aged women: A cross-sectional study. Maturitas. 187. 108042–108042. 4 indexed citations

Kim, Chanmin, Yisheng Li, Ting Xu, & Zhongxing Liao. (2024). Bayesian Nonparametric Model for Heterogeneous Treatment Effects With Zero‐Inflated Data. Statistics in Medicine. 43(30). 5968–5982.

Lee, Kuo‐Jung, Chanmin Kim, Jae Keun Yoo, & Keunbaik Lee. (2024). Multivariate probit linear mixed models for multivariate longitudinal binary data. Statistics in Medicine. 43(8). 1527–1548.

Lee, Sanghyun & Chanmin Kim. (2023). Dirichlet process mixture models using matrix‐generalized half‐t distribution. Stat. 12(1). 1 indexed citations

Kim, Yejin, Yoosoo Chang, Yoosun Cho, et al.. (2023). Serum 25-Hydroxyvitamin D Levels and Risk of Colorectal Cancer: An Age-Stratified Analysis. Gastroenterology. 165(4). 920–931. 13 indexed citations

Kim, Chanmin, Mauricio Tec, & Corwin Zigler. (2023). Bayesian Nonparametric Adjustment of Confounding. Biometrics. 79(4). 3252–3265.

Nguyen, Daniel, Jonathan I. Levy, Chanmin Kim, et al.. (2023). Characterizing temporal trends in populations exposed to aircraft noise around U.S. airports: 1995–2015. Journal of Exposure Science & Environmental Epidemiology. 35(1). 70–79. 4 indexed citations

Lee, Kuo‐Jung, Chanmin Kim, Ray‐Bing Chen, & Keunbaik Lee. (2022). Robust probit linear mixed models for longitudinal binary data. Biometrical Journal. 64(7). 1307–1324. 2 indexed citations

10.

Kim, Chanmin, et al.. (2022). Assessing treatment benefit in the presence of placebo response using the sequential parallel comparison design. Statistics in Medicine. 41(12). 2166–2190. 1 indexed citations

11.

Kim, Chanmin, et al.. (2022). A Bayesian method for multinomial probit model. Journal of the Korean Statistical Society. 52(1). 265–281.

12.

Liu, Yan, Audrey Béliveau, Henrike C. Besche, et al.. (2021). Bayesian Mixed Effects Model and Data Visualization for Understanding Item Response Time and Response Order in Open Online Assessment. Frontiers in Education. 5. 3 indexed citations

13.

Liu, Yan, et al.. (2020). Investigating the Performance of Propensity Score Approaches for Differential Item Functioning Analysis. Human Biology. 18(1). 2–26. 2 indexed citations

14.

Adams, William G., Aaron Legler, Megan Sandel, et al.. (2020). Developing and evaluating a pediatric asthma severity computable phenotype derived from electronic health records. Journal of Allergy and Clinical Immunology. 147(6). 2162–2170. 8 indexed citations

15.

Kim, Chanmin, Lucas Henneman, Christine Choirat, & Corwin Zigler. (2020). Health Effects of Power Plant Emissions Through Ambient Air Quality. Journal of the Royal Statistical Society Series A (Statistics in Society). 183(4). 1677–1703. 13 indexed citations

16.

Kim, Chanmin, Michael J. Daniels, Joseph W. Hogan, Christine Choirat, & Corwin Zigler. (2019). Bayesian methods for multiple mediators: Relating principal stratification and causal mediation in the analysis of power plant emission controls. The Annals of Applied Statistics. 13(3). 1927–1956. 23 indexed citations

17.

Nguyen, Minh-Thuy, Timothy Feeney, Chanmin Kim, et al.. (2019). Differential Utilization of Palliative Care Consultation Between Medical and Surgical Services. American Journal of Hospice and Palliative Medicine®. 37(4). 250–257. 11 indexed citations

18.

Mahalingaiah, Shruthi, et al.. (2018). Impacts of Air Pollution on Gynecologic Disease: Infertility, Menstrual Irregularity, Uterine Fibroids, and Endometriosis: a Systematic Review and Commentary. Current Epidemiology Reports. 5(3). 197–204. 7 indexed citations

19.

Perri, Michael G., Marian C. Limacher, Michael J. Daniels, et al.. (2014). Comparative effectiveness of three doses of weight-loss counseling: Two-year findings from the rural LITE trial. Obesity. 22(11). 2293–2300. 44 indexed citations

20.

Daniels, Michael J., Jason Roy, Chanmin Kim, Joseph W. Hogan, & Michael G. Perri. (2012). Bayesian Inference for the Causal Effect of Mediation. Biometrics. 68(4). 1028–1036. 34 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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