Maengseok Noh

36 papers and 364 indexed citations i.

About

Maengseok Noh is a scholar working on Statistics and Probability, Economics and Econometrics and Demography. According to data from OpenAlex, Maengseok Noh has authored 36 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Statistics and Probability, 8 papers in Economics and Econometrics and 5 papers in Demography. Recurrent topics in Maengseok Noh’s work include Statistical Methods and Bayesian Inference (17 papers), Statistical Methods and Inference (15 papers) and Insurance, Mortality, Demography, Risk Management (5 papers). Maengseok Noh is often cited by papers focused on Statistical Methods and Bayesian Inference (17 papers), Statistical Methods and Inference (15 papers) and Insurance, Mortality, Demography, Risk Management (5 papers). Maengseok Noh collaborates with scholars based in South Korea, Indonesia and Sweden. Maengseok Noh's co-authors include Youngjo Lee, Young‐Ho Khang, Il Do Ha, Kyunghee Jung‐Choi, J. A. Nelder, Bens Pardamean, Prana Ugiana Gio, Rezzy Eko Caraka, Weon‐Young Lee and Rung-Ching Chen and has published in prestigious journals such as Journal of the American Statistical Association, Social Science & Medicine and Statistics in Medicine.

In The Last Decade

Co-authorship network of co-authors of Maengseok Noh i

Fields of papers citing papers by Maengseok Noh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maengseok Noh

Since Specialization
Citations

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

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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