Hyoung‐Moon Kim

829 total citations
48 papers, 543 citations indexed

About

Hyoung‐Moon Kim is a scholar working on Statistics and Probability, Artificial Intelligence and Statistics, Probability and Uncertainty. According to data from OpenAlex, Hyoung‐Moon Kim has authored 48 papers receiving a total of 543 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Statistics and Probability, 15 papers in Artificial Intelligence and 14 papers in Statistics, Probability and Uncertainty. Recurrent topics in Hyoung‐Moon Kim's work include Statistical Distribution Estimation and Applications (31 papers), Bayesian Methods and Mixture Models (14 papers) and Probabilistic and Robust Engineering Design (12 papers). Hyoung‐Moon Kim is often cited by papers focused on Statistical Distribution Estimation and Applications (31 papers), Bayesian Methods and Mixture Models (14 papers) and Probabilistic and Robust Engineering Design (12 papers). Hyoung‐Moon Kim collaborates with scholars based in South Korea, United States and China. Hyoung‐Moon Kim's co-authors include Bani K. Mallick, Chris Holmes, Marc G. Genton, In‐Soo Choi, Seong‐Su Yuk, Seung‐Yong Park, Ha-Na Youn, Si-Yong Yang, Dong‐Hun Lee and Chang‐Seon Song and has published in prestigious journals such as Journal of the American Statistical Association, Journal of Neurotrauma and Scientia Horticulturae.

In The Last Decade

Hyoung‐Moon Kim

44 papers receiving 520 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hyoung‐Moon Kim South Korea 11 217 145 91 74 63 48 543
Brunero Liseo Italy 14 478 2.2× 222 1.5× 41 0.5× 136 1.8× 84 1.3× 50 905
Hengjian Cui China 21 891 4.1× 205 1.4× 64 0.7× 130 1.8× 92 1.5× 82 1.2k
Rosângela H. Loschi Brazil 14 235 1.1× 129 0.9× 16 0.2× 69 0.9× 52 0.8× 57 560
K. B. Kulasekera United States 16 510 2.4× 129 0.9× 16 0.2× 154 2.1× 47 0.7× 52 758
Tiago A. E. Ferreira Brazil 18 82 0.4× 263 1.8× 123 1.4× 50 0.7× 55 0.9× 79 911
Aurore Delaigle Australia 24 1.1k 5.0× 445 3.1× 47 0.5× 147 2.0× 90 1.4× 62 1.6k
Ian B. MacNeill Canada 14 346 1.6× 65 0.4× 25 0.3× 141 1.9× 167 2.7× 51 851
Samuel D. Oman Israel 15 326 1.5× 61 0.4× 42 0.5× 118 1.6× 14 0.2× 51 699
Estelle Kuhn France 10 265 1.2× 164 1.1× 23 0.3× 27 0.4× 12 0.2× 23 922

Countries citing papers authored by Hyoung‐Moon Kim

Since Specialization
Citations

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

Fields of papers citing papers by Hyoung‐Moon Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hyoung‐Moon Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Hyoung‐Moon Kim. A scholar is included among the top collaborators of Hyoung‐Moon 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 Hyoung‐Moon Kim. Hyoung‐Moon 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.
Jun, Zhao, Y. Lee, & Hyoung‐Moon Kim. (2025). New and fast closed-form efficient estimators for the negative multinomial distribution. Communication in Statistics- Theory and Methods. 54(20). 6684–6699.
2.
Zhao, Jun, et al.. (2023). New closed‐form efficient estimator for multivariate gamma distribution. Statistica Neerlandica. 77(4). 555–572. 2 indexed citations
3.
Lee, Min Chul & Hyoung‐Moon Kim. (2023). Two tests using more assumptions but lower power. Communications for Statistical Applications and Methods. 30(1). 109–117. 1 indexed citations
4.
Jun, Zhao, et al.. (2022). Closed-form and bias-corrected estimators for the bivariate gamma distribution. Journal of Multivariate Analysis. 191. 105009–105009. 3 indexed citations
5.
Kim, Hyoung‐Moon, et al.. (2022). Series form of the characteristic functions of scale mixtures of multivariate skew-normal distributions. Mathematics and Computers in Simulation. 198. 172–187. 1 indexed citations
6.
Kim, Hyoung‐Moon, et al.. (2021). Further sharpening of Jensen's inequality. Statistics. 55(5). 1154–1168. 1 indexed citations
7.
Park, Byung‐Joo, Dong‐Hwi Kim, Joong‐Bok Lee, et al.. (2021). Induction of immunocontraceptive effects in both male and female mice immunized with GnRH vaccine. Veterinary Medicine and Science. 7(5). 1999–2007. 2 indexed citations
8.
Kim, Hyoung‐Moon, et al.. (2021). New closed-form estimator and its properties. Journal of the Korean Statistical Society. 51(1). 47–64. 2 indexed citations
9.
Jun, Zhao, et al.. (2020). New EM-type algorithms for the Heckman selection model. Computational Statistics & Data Analysis. 146. 106930–106930. 5 indexed citations
10.
Jun, Zhao, et al.. (2020). Simple New Proofs of the Characteristic Functions of the F and Skew-Normal Distributions. Symmetry. 12(12). 2041–2041. 3 indexed citations
11.
Kim, Hyoung‐Moon, et al.. (2019). A Study on the Determinants of Injury Rate Using Financial Data. 22(2). 307–334. 1 indexed citations
12.
Azzalini, Adelchi, et al.. (2018). Sample selection models for discrete and other non-Gaussian response variables. Statistical Methods & Applications. 28(1). 27–56. 2 indexed citations
13.
Kim, Hyoung‐Moon, et al.. (2016). Elliptical regression models for multivariate sample-selection bias correction. Journal of the Korean Statistical Society. 45(3). 422–438. 5 indexed citations
14.
Kim, Hyoung‐Moon, et al.. (2015). Skewed factor models using selection mechanisms. Journal of Multivariate Analysis. 145. 162–177. 5 indexed citations
15.
Park, Woo Jung, Young‐Jo Song, Joong‐Bok Lee, et al.. (2014). Investigation of antibacterial activity of Oenothera biennis L. extract against Salmonella Typhimurium. 38(1). 1–6. 1 indexed citations
16.
Kim, Hyoung‐Moon, et al.. (2014). A class of rectangle-screened multivariate normal distributions and its applications. Statistics. 49(4). 878–899. 9 indexed citations
17.
Kim, Hyoung‐Moon, et al.. (2013). Mixtures of skewed Kalman filters. Journal of Multivariate Analysis. 123. 228–251. 11 indexed citations
18.
Kim, Hyoung‐Moon & Marc G. Genton. (2011). Characteristic functions of scale mixtures of multivariate skew-normal distributions. Journal of Multivariate Analysis. 102(7). 1105–1117. 34 indexed citations
19.
Kim, Hyoung‐Moon. (2009). New Family of the Exponential Distributions for Modeling Skewed Semicircular Data. Korean Journal of Applied Statistics. 22(1). 205–220. 1 indexed citations
20.
Kim, Hyoung‐Moon, Bani K. Mallick, & Chris Holmes. (2005). Analyzing Nonstationary Spatial Data Using Piecewise Gaussian Processes. Journal of the American Statistical Association. 100(470). 653–668. 117 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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