Inkyung Ahn

740 citations
53 papers · 549 · h-index 13

Impact in

Papers in

Inkyung Ahn

46 papers receiving 521 citations

Peers

Inkyung Ahn
Comparison fields: 5 of 69
  • Modeling and Simulation 345
  • Public Health, Environmental and Occupational Health 463
  • Genetics 325
  • Applied Mathematics 81
  • Numerical Analysis 27
Replace Kousuke Kuto with:
Kousuke Kuto Japan
Kimun Ryu South Korea
Hebatallah J. Alsakaji United Arab Emirates
Wonlyul Ko South Korea
Yunfei Lv China
Y. Lou United States
Chufen Wu China
Thomas Giletti France
Shangbing Ai United States
Shanbing Li China
Inkyung Ahn relative to Kousuke Kuto Japan Kousuke Kuto's profile →
Citations per field
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Kousuke Kuto · 1×
Citations per year

Countries citing papers authored by Inkyung Ahn

Since Specialization
Citations

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

Fields of papers citing papers by Inkyung Ahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Inkyung 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 Inkyung Ahn Line = papers co-authored together Inkyung Ahn links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201962
2 201651
3 200350
4 200340
5 200538
6 200735
7 202135
8 201417
9 201116
10 201214
11 201913
12 201912
13 201812
14 200111
15 201711
16 201011
17 202111
18 20129
19 20128
20 20208

About Inkyung Ahn

Inkyung Ahn is a scholar working on Public Health, Environmental and Occupational Health, Genetics, Modeling and Simulation, Applied Mathematics and Sociology and Political Science, having authored 53 papers that have together received 549 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (43 papers), Evolution and Genetic Dynamics (37 papers), Mathematical Biology Tumor Growth (25 papers), COVID-19 epidemiological studies (9 papers), Nonlinear Differential Equations Analysis (6 papers), Evolutionary Game Theory and Cooperation (5 papers), Advanced Mathematical Modeling in Engineering (4 papers) and Nonlinear Partial Differential Equations (4 papers). The work is most often cited by research in Modeling and Simulation (345 citations), Public Health, Environmental and Occupational Health (463 citations), Genetics (325 citations), Applied Mathematics (81 citations) and Numerical Analysis (27 citations). Inkyung Ahn has collaborated with scholars based in South Korea, China and United States. Frequent co-authors include Kimun Ryu, Changwook Yoon, Wonlyul Ko, Zhigui Lin, Jooyoung Park, Lige Li, Kwang-Joong Kim, Taehwan Kim, Jong‐Shenq Guo and Arnaud Ducrot. Their work appears in journals such as Journal of Mathematical Analysis and Applications, Nonlinear Analysis Real World Applications, Discrete and Continuous Dynamical Systems - B, International Journal of Biomathematics and Journal of Dynamical and Control Systems.

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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