Soohan Ahn

768 citations
38 papers · 591 · h-index 12

Impact in

Papers in

Soohan Ahn

36 papers receiving 570 citations

Peers

Soohan Ahn
Comparison fields: 5 of 58
  • Management Information Systems 351
  • Management Science and Operations Research 287
  • Statistics and Probability 164
  • Finance 107
  • Demography 98
Replace Lothar Breuer with:
Lothar Breuer Germany
Bara Kim South Korea
Ana da Silva Soares Belgium
Susan M. Pitts United Kingdom
Ryszard Szekli Poland
Steve Drekic Canada
Andreas Brandt Germany
Percy H. Brill Canada
Clifford W. Marshall United States
Ad Ridder Netherlands
Soohan Ahn relative to Lothar Breuer Germany Lothar Breuer's profile →
Citations per field
00.5×1.5×1.9×
Lothar Breuer · 1×
Citations per year

Countries citing papers authored by Soohan Ahn

Since Specialization
Citations

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

Fields of papers citing papers by Soohan Ahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Soohan Ahn, 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 Soohan Ahn Line = papers co-authored together Soohan Ahn links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200573
2 200369
3 200467
4 200759
5 201257
6 200637
7 200529
8 200628
9 201818
10 200515
11 200014
12 201113
13 200512
14 201211
15 200511
16 20199
17 20079
18 20166
19 20136
20 20096

About Soohan Ahn

Soohan Ahn is a scholar working on Management Information Systems, Management Science and Operations Research, Statistics and Probability, Transportation and Demography, having authored 38 papers that have together received 591 indexed citations. Recurring topics across this work include Advanced Queuing Theory Analysis (30 papers), Probability and Risk Models (11 papers), Simulation Techniques and Applications (8 papers), Random Matrices and Applications (5 papers), Statistical Distribution Estimation and Applications (5 papers), Insurance, Mortality, Demography, Risk Management (5 papers), Stochastic processes and financial applications (4 papers) and Advanced Wireless Network Optimization (4 papers). The work is most often cited by research in Management Information Systems (351 citations), Management Science and Operations Research (287 citations), Statistics and Probability (164 citations), Finance (107 citations) and Demography (98 citations). Soohan Ahn has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include V. Ramaswami, Andrei L. Badescu, Ho Woo Lee, Jung Woo Baek, Youjip Won, Ja-Yong Koo, Chang-Hyun Park, David J. Poole, Simon Byers and Ming‐Jiun Yu. Their work appears in journals such as Stochastic Models, Operations Research Letters, Queueing Systems, Journal of Applied Probability and Insurance Mathematics and Economics.

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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