Hohsuk Noh

411 total citations
22 papers, 277 citations indexed

About

Hohsuk Noh is a scholar working on Statistics and Probability, Finance and Management Science and Operations Research. According to data from OpenAlex, Hohsuk Noh has authored 22 papers receiving a total of 277 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Statistics and Probability, 5 papers in Finance and 5 papers in Management Science and Operations Research. Recurrent topics in Hohsuk Noh's work include Statistical Methods and Inference (11 papers), Advanced Statistical Methods and Models (9 papers) and Statistical Methods and Bayesian Inference (4 papers). Hohsuk Noh is often cited by papers focused on Statistical Methods and Inference (11 papers), Advanced Statistical Methods and Models (9 papers) and Statistical Methods and Bayesian Inference (4 papers). Hohsuk Noh collaborates with scholars based in South Korea, Belgium and United States. Hohsuk Noh's co-authors include Byeong U. Park, Eun Ryung Lee, Ingrid Van Keilegom, Kwanghun Chung, Abdelaati Daouia, Anouar El Ghouch, Abdelaati Daouia, Natalie Neumeyer, Jong‐Min Kim and Jwa‐Min Nam and has published in prestigious journals such as Journal of the American Statistical Association, The Journal of Physical Chemistry C and Nanoscale.

In The Last Decade

Hohsuk Noh

19 papers receiving 267 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hohsuk Noh South Korea	8	177	54	48	40	38	22	277
Asokan Mulayath Variyath Canada	8	235 1.3×	28 0.5×	32 0.7×	16 0.4×	22 0.6×	20	326
Manoel Santos‐Neto Brazil	9	264 1.5×	50 0.9×	57 1.2×	25 0.6×	52 1.4×	21	327
Tetsuya Kaji United States	4	112 0.6×	21 0.4×	40 0.8×	52 1.3×	21 0.6×	6	263
Philippe Barbe France	4	124 0.7×	45 0.8×	35 0.7×	22 0.6×	112 2.9×	11	225
Paul Gilbert Canada	6	82 0.5×	26 0.5×	24 0.5×	24 0.6×	14 0.4×	8	202
Paulo H. Ferreira Brazil	11	131 0.7×	18 0.3×	48 1.0×	12 0.3×	30 0.8×	46	255
David T. Frazier Australia	10	108 0.6×	25 0.5×	87 1.8×	42 1.1×	42 1.1×	30	230
Hammou El Barmi United States	9	204 1.2×	37 0.7×	86 1.8×	21 0.5×	15 0.4×	43	270
Chengchun Shi United States	11	171 1.0×	33 0.6×	60 1.3×	25 0.6×	4 0.1×	38	283
Patrícia L. Espinheira Brazil	9	247 1.4×	56 1.0×	54 1.1×	14 0.3×	8 0.2×	16	344

Countries citing papers authored by Hohsuk Noh

Since Specialization

Citations

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

Fields of papers citing papers by Hohsuk Noh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hohsuk Noh

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Lee, So-Yeon, et al.. (2024). Likelihood ratio test for the analysis of germination percentages. Seed Science Research. 1–7. 1 indexed citations

Noh, Hohsuk, et al.. (2023). Nonparametric Directional Dependence Estimation and Its Application to Cryptocurrency. Axioms. 12(3). 293–293.

Noh, Hohsuk, et al.. (2023). Forecasting Korean Stock Returns with Machine Learning. Asia-Pacific Journal of Financial Studies. 52(2). 193–241. 4 indexed citations

Kim, Jong‐Min, et al.. (2023). Vine copula Granger causality in quantiles. Applied Economics. 56(10). 1109–1118.

Baek, Min Jeong, et al.. (2020). Alteration of gammaretroviral vector integration patterns by insertion of histone and leucine zipper into integrase. Biotechnology and Bioengineering. 117(12). 3924–3937. 1 indexed citations

Noh, Hohsuk & Ingrid Van Keilegom. (2020). On relaxing the distributional assumption of stochastic frontier models. Journal of the Korean Statistical Society. 49(1). 1–14. 1 indexed citations

Park, Yiseul, Yuan‐Han Yang, Minho Kang, et al.. (2019). Nanotopography-based engineering of retroviral DNA integration patterns. Nanoscale. 11(12). 5693–5704. 3 indexed citations

Kim, Gyeong‐Hwan, Jeong‐Wook Oh, Mouhong Lin, et al.. (2019). Statistical Modeling of Ligand-Mediated Multimeric Nanoparticle Assembly. The Journal of Physical Chemistry C. 123(34). 21195–21206. 4 indexed citations

Kim, Soo‐Hyun, et al.. (2018). Shifting Retroviral Vector Integrations Away from Transcriptional Start Sites via DNA-Binding Protein Domain Insertion into Integrase. Molecular Therapy — Methods & Clinical Development. 12. 58–70. 4 indexed citations

10.

Daouia, Abdelaati, et al.. (2017). npbr: A Package for Nonparametric Boundary Regression in R. Journal of Statistical Software. 79(9). 11 indexed citations

11.

Noh, Hohsuk, et al.. (2017). Estimation of smooth monotone frontier function under stochastic frontier model. Korean Journal of Applied Statistics. 30(5). 665–679.

12.

Noh, Hohsuk. (2014). Frontier estimation using kernel smoothing estimators with data transformation. Journal of the Korean Statistical Society. 43(4). 503–512. 8 indexed citations

13.

Daouia, Abdelaati, Hohsuk Noh, & Byeong U. Park. (2014). Data Envelope Fitting with Constrained Polynomial Splines. Journal of the Royal Statistical Society Series B (Statistical Methodology). 78(1). 3–30. 28 indexed citations

14.

Noh, Hohsuk & Eun Ryung Lee. (2014). Component selection in additive quantile regression models. Journal of the Korean Statistical Society. 43(3). 439–452. 3 indexed citations

15.

Noh, Hohsuk, Anouar El Ghouch, & Ingrid Van Keilegom. (2014). Semiparametric Conditional Quantile Estimation Through Copula-Based Multivariate Models. Journal of Business and Economic Statistics. 33(2). 167–178. 18 indexed citations

16.

Lee, Eun Ryung, Hohsuk Noh, & Byeong U. Park. (2013). Model Selection via Bayesian Information Criterion for Quantile Regression Models. Journal of the American Statistical Association. 109(505). 216–229. 125 indexed citations

17.

Noh, Hohsuk, Anouar El Ghouch, & Ingrid Van Keilegom. (2012). Assessing model adequacy in possibly misspecified quantile regression. Computational Statistics & Data Analysis. 57(1). 558–569. 4 indexed citations

18.

Noh, Hohsuk, Anouar El Ghouch, & Ingrid Van Keilegom. (2012). Quality of Fit Measures in the Framework of Quantile Regression. Scandinavian Journal of Statistics. 40(1). 105–118. 6 indexed citations

19.

Noh, Hohsuk, Kwanghun Chung, & Ingrid Van Keilegom. (2012). Variable selection of varying coefficient models in quantile regression. Electronic Journal of Statistics. 6(none). 32 indexed citations

20.

Noh, Hohsuk & Ingrid Van Keilegom. (2012). Efficient model selection in semivarying coefficient models. Electronic Journal of Statistics. 6(none). 7 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.

Explore authors with similar magnitude of impact