Jae Youn Ahn

535 citations
33 papers · 339 indexed · h-index 9
Topics
Financial Risk and Volatility Modeling (12 papers)Probability and Risk Models (12 papers)Statistical Distribution Estimation and Applications (10 papers)
Journals
SHILAP Revista de lepidopterologíaBiometrikaJournal of Alloys and Compounds

In The Last Decade

Jae Youn Ahn

31 papers receiving 322 citations

Peers

Jae Youn Ahn
Comparison fields: 5 of 65
  • Statistics and Probability 159
  • Management Science and Operations Research 106
  • Artificial Intelligence 103
  • Economics and Econometrics 63
  • Finance 60
Replace Wensheng Wang with:
Wensheng Wang China
Mathieu Rosenbaum France
Xianhua Peng United States
Leonardo Rojas‐Nandayapa Australia
Mohammad Amini Iran
Isha Dewan India
Carsten Jentsch Germany
Frédéric Vrins Belgium
Bogdan Grechuk United Kingdom
Luisa Turrin Fernholz United States
Jae Youn Ahn relative to Wensheng Wang China Wensheng Wang's profile →
Citations per field
00.5×4.8×
Wensheng Wang · 1×
Citations per year

Countries citing papers authored by Jae Youn Ahn

Since Specialization
Citations

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

Fields of papers citing papers by Jae Youn Ahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jae Youn Ahn. 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 Jae Youn Ahn. The network helps show where Jae Youn Ahn may publish in the future.

Co-authorship network of co-authors of Jae Youn Ahn

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

All Works

20 of 20 papers shown
#WorkIndexed citations
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Generalized Linear Mixed Models for Dependent Compound Risk Models
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7 13
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10 1
11 1
12 1
13 9
14 2
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17 19
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19 48
20 105

About Jae Youn Ahn

Jae Youn Ahn is a scholar working on Statistics and Probability, Management Science and Operations Research and Finance, having authored 33 papers that have together received 339 indexed citations. Recurring topics across this work include Financial Risk and Volatility Modeling (12 papers), Probability and Risk Models (12 papers) and Statistical Distribution Estimation and Applications (10 papers). The work is most often cited by research in Statistics and Probability (159 citations), Management Science and Operations Research (106 citations) and Finance (60 citations). Jae Youn Ahn has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include J. S. Marron, Klaus Müller, Yueh‐Yun Chi, Woojoo Lee, Peng Shi, Yang Lu, Ka Chun Cheung, Yun‐Sung Lee, Vanchiappan Aravindan and Min Chul Kim. Their work appears in journals such as SHILAP Revista de lepidopterología, Biometrika and Journal of Alloys and Compounds.

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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