Man-Suk Oh

550 citations
27 papers · 332 · h-index 10

Impact in

Papers in

Man-Suk Oh

23 papers receiving 315 citations

Peers

Man-Suk Oh
Comparison fields: 5 of 96
  • Statistics and Probability 127
  • Statistics, Probability and Uncertainty 30
  • Health, Toxicology and Mutagenesis 45
  • Artificial Intelligence 101
  • Management Science and Operations Research 35
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H. Joseph Newton United States
Andy Pole United Kingdom
Ernst Stadlober Austria
Qiqing Yu United States
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Citations per field
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Citations per year

Countries citing papers authored by Man-Suk Oh

Since Specialization
Citations

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

Fields of papers citing papers by Man-Suk Oh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Man-Suk Oh. 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 Man-Suk Oh. The network helps show where Man-Suk Oh may publish in the future.

Co-authors

The 22 scholars most cited alongside Man-Suk Oh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Man-Suk Oh Line = papers co-authored together Man-Suk Oh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199290
2 199349
3 200241
4 200739
5 200611
6 202011
7 202110
8 20209
9 20209
10 20169
11 20168
12 20038
13 20047
14 20166
15 20034
16 20164
17 19984
18 20183
19 20003
20 20172

About Man-Suk Oh

Man-Suk Oh is a scholar working on Statistics and Probability, Economics and Econometrics, General Economics, Econometrics and Finance, Finance and Artificial Intelligence, having authored 27 papers that have together received 332 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (10 papers), Monetary Policy and Economic Impact (8 papers), Statistical Methods and Inference (5 papers), Financial Risk and Volatility Modeling (5 papers), Bayesian Methods and Mixture Models (5 papers), Economic Growth and Productivity (4 papers), Spatial and Panel Data Analysis (4 papers) and Market Dynamics and Volatility (4 papers). The work is most often cited by research in Statistics and Probability (127 citations), Statistics, Probability and Uncertainty (30 citations), Health, Toxicology and Mutagenesis (45 citations), Artificial Intelligence (101 citations) and Management Science and Operations Research (35 citations). Man-Suk Oh has collaborated with scholars based in South Korea and United States. Frequent co-authors include James O. Berger, Eun Sug Park, Adrian E. Raftery, Peter Guttorp, Dong Wan Shin, Hyun Sook Oh, Eun‐Kyung Lee, Jungsoon Choi, Seung-Ho Kang and Seung‐Ho Kang. Their work appears in journals such as Chemometrics and Intelligent Laboratory Systems, Economics Letters, Scientific Reports, Journal of Computational and Graphical Statistics and Accident Analysis & Prevention.

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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