Hohsuk Noh
- Statistics and Probability top 2%
- Management Science and Operations Research top 10%
- Artificial Intelligence
- Economics and Econometrics
- Finance top 10%
- Co-authors
- Byeong U. ParkEun Ryung LeeIngrid Van KeilegomKwanghun ChungAbdelaati DaouiaAnouar El GhouchNatalie NeumeyerJong‐Min Kim
- Topics
- Statistical Methods and Inference (11 papers)Advanced Statistical Methods and Models (9 papers)Statistical Methods and Bayesian Inference (4 papers)
- Journals
- Journal of the American Statistical AssociationThe Journal of Physical Chemistry CNanoscale
- Partner nations
- South KoreaBelgiumUnited States
In The Last Decade
Hohsuk Noh
19 papers receiving 267 citations
Peers
Comparison fields: 5 of 70
- Statistics and Probability 177
- Management Science and Operations Research 54
- Artificial Intelligence 48
- Economics and Econometrics 40
- Finance 38
Countries citing papers authored by Hohsuk Noh
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 8 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 4 | |
| 9 | 11 | |
| 10 | 0 | |
| 11 | 9 | |
| 12 | 8 | |
| 13 | 3 | |
| 14 | 28 | |
| 15 | 18 | |
| 16 | 125 | |
| 17 | 4 | |
| 18 | 6 | |
| 19 | 7 | |
| 20 | 32 |
About Hohsuk Noh
Hohsuk Noh is a scholar working on Statistics and Probability, Finance and Statistics, Probability and Uncertainty, having authored 22 papers that have together received 277 indexed citations. Recurring topics across this work include Statistical Methods and Inference (11 papers), Advanced Statistical Methods and Models (9 papers) and Statistical Methods and Bayesian Inference (4 papers). The work is most often cited by research in Statistics and Probability (177 citations), Management Science and Operations Research (54 citations) and Finance (38 citations). Hohsuk Noh has collaborated with scholars based in South Korea, Belgium and United States. Frequent 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 Soo‐Hyun Kim. Their work appears in journals such as Journal of the American Statistical Association, The Journal of Physical Chemistry C and Nanoscale.
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.