Maengseok Noh
- Statistics and Probability top 2%
- Economics and Econometrics
- Sociology and Political Science
- Artificial Intelligence
- Demography top 10%
- Co-authors
- Youngjo LeeYoung‐Ho KhangIl Do HaKyunghee Jung‐ChoiPrana Ugiana GioJ. A. NelderBens PardameanRezzy Eko Caraka
- Topics
- Statistical Methods and Bayesian Inference (17 papers)Statistical Methods and Inference (15 papers)Insurance, Mortality, Demography, Risk Management (5 papers)
- Partner nations
- South KoreaSwedenIndonesia
In The Last Decade
Maengseok Noh
30 papers receiving 378 citations
Peers
Comparison fields: 5 of 107
- Statistics and Probability 164
- Economics and Econometrics 63
- Sociology and Political Science 56
- Artificial Intelligence 52
- Demography 36
Countries citing papers authored by Maengseok Noh
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).
Fields of papers citing papers by Maengseok Noh
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.
Co-authorship network of co-authors of Maengseok Noh
This figure shows the co-authorship network connecting the top 25 collaborators of Maengseok Noh. A scholar is included among the top collaborators of Maengseok 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 Maengseok Noh. Maengseok Noh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 2 | |
| 4 | 13 | |
| 5 | 36 | |
| 6 | 0 | |
| 7 | 11 | |
| 8 | 0 | |
| 9 | 4 | |
| 10 | 2 | |
| 11 | 9 | |
| 12 | 6 | |
| 13 | 21 | |
| 14 | 69 | |
| 15 | 19 | |
| 16 | 9 | |
| 17 | 12 | |
| 18 | 15 | |
| 19 | 2 | |
| 20 | 12 |
About Maengseok Noh
Maengseok Noh is a scholar working on Statistics and Probability, Geriatrics and Gerontology and Health, having authored 36 papers that have together received 413 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (17 papers), Statistical Methods and Inference (15 papers) and Insurance, Mortality, Demography, Risk Management (5 papers). The work is most often cited by research in Statistics and Probability (164 citations), Health (34 citations) and Demography (36 citations). Maengseok Noh has collaborated with scholars based in South Korea, Sweden and Indonesia. Frequent co-authors include Youngjo Lee, Young‐Ho Khang, Il Do Ha, Kyunghee Jung‐Choi, Prana Ugiana Gio, J. A. Nelder, Bens Pardamean, Rezzy Eko Caraka, Rung-Ching Chen and Weon‐Young Lee. Their work appears in journals such as Journal of the American Statistical Association, Social Science & Medicine and IEEE Access.
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.