Dongnam Ko

691 total citations
33 papers, 451 citations indexed

About

Dongnam Ko is a scholar working on Computer Networks and Communications, Condensed Matter Physics and Statistical and Nonlinear Physics. According to data from OpenAlex, Dongnam Ko has authored 33 papers receiving a total of 451 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Networks and Communications, 9 papers in Condensed Matter Physics and 9 papers in Statistical and Nonlinear Physics. Recurrent topics in Dongnam Ko's work include Nonlinear Dynamics and Pattern Formation (24 papers), Distributed Control Multi-Agent Systems (10 papers) and Slime Mold and Myxomycetes Research (6 papers). Dongnam Ko is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (24 papers), Distributed Control Multi-Agent Systems (10 papers) and Slime Mold and Myxomycetes Research (6 papers). Dongnam Ko collaborates with scholars based in South Korea, China and Spain. Dongnam Ko's co-authors include Seung‐Yeal Ha, Jinyeong Park, Yinglong Zhang, Feimin Huang, Xiongtao Zhang, Enrique Zuazua, Paul Chow, Doheon Kim, Shi Jin and Hui Yu and has published in prestigious journals such as Journal of Statistical Physics, Journal of Differential Equations and Journal of Mathematical Physics.

In The Last Decade

Dongnam Ko

29 papers receiving 398 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dongnam Ko South Korea 12 381 155 96 76 75 33 451
Jinyeong Park South Korea 12 335 0.9× 130 0.8× 96 1.0× 106 1.4× 39 0.5× 23 385
Zhuchun Li China 13 436 1.1× 141 0.9× 54 0.6× 131 1.7× 45 0.6× 29 488
Sun-Ho Choi South Korea 10 228 0.6× 95 0.6× 52 0.5× 68 0.9× 43 0.6× 30 317
Seung-Yeal Ha South Korea 12 205 0.5× 91 0.6× 85 0.9× 43 0.6× 77 1.0× 26 319
Doheon Kim South Korea 10 204 0.5× 90 0.6× 37 0.4× 34 0.4× 59 0.8× 37 299
Dohyun Kim South Korea 12 188 0.5× 93 0.6× 71 0.7× 68 0.9× 19 0.3× 56 359
Young-Pil Choi South Korea 16 252 0.7× 124 0.8× 95 1.0× 50 0.7× 142 1.9× 28 638
David Poyato Spain 6 101 0.3× 87 0.6× 41 0.4× 26 0.3× 69 0.9× 11 245
Moon-Jin Kang South Korea 13 136 0.4× 77 0.5× 44 0.5× 36 0.5× 56 0.7× 35 421
V. Panferov United States 9 124 0.3× 118 0.8× 76 0.8× 18 0.2× 90 1.2× 13 502

Countries citing papers authored by Dongnam Ko

Since Specialization
Citations

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

Fields of papers citing papers by Dongnam Ko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dongnam Ko

This figure shows the co-authorship network connecting the top 25 collaborators of Dongnam Ko. A scholar is included among the top collaborators of Dongnam Ko 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 Dongnam Ko. Dongnam Ko 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
1.
Ha, Seung‐Yeal, et al.. (2025). Consensus, error estimates and applications of first- and second-order consensus-based optimization algorithms. Mathematical Models and Methods in Applied Sciences. 35(2). 345–401. 1 indexed citations
2.
Ha, Seung-Yeal, et al.. (2024). On the stochastic synchronization of the Winfree model with a multiplicative noise. Communications in Mathematical Sciences. 22(7). 1955–1983.
3.
Ko, Dongnam, et al.. (2023). Collective behaviors of stochastic agent-based models and applications to finance and optimization. Mathematical Models and Methods in Applied Sciences. 33(7). 1373–1436. 4 indexed citations
4.
Ko, Dongnam, et al.. (2023). Stochastic flocking dynamics of the inertial spin model with state‐dependent noises. Studies in Applied Mathematics. 151(3). 975–1019.
5.
Ko, Dongnam, et al.. (2023). Emerging Asymptotic Patterns in a Winfree Ensemble with Higher-Order Couplings. Acta Applicandae Mathematicae. 185(1).
6.
Ko, Dongnam, Seung‐Yeal Ha, Shi Jin, & Doheon Kim. (2022). Convergence analysis of the discrete consensus-based optimization algorithm with random batch interactions and heterogeneous noises. Mathematical Models and Methods in Applied Sciences. 32(6). 1071–1107. 10 indexed citations
7.
Ha, Seung‐Yeal, et al.. (2022). Emergent behaviors of the Justh-Krishnaprasad model with uncertain communications. Journal of Differential Equations. 322. 38–70. 1 indexed citations
8.
Ha, Seung‐Yeal, Shi Jin, Doheon Kim, & Dongnam Ko. (2021). Convergence toward equilibrium of the first-order consensus model with random batch interactions. Journal of Differential Equations. 302. 585–616. 4 indexed citations
9.
Ko, Dongnam, et al.. (2021). On the stochastic robustness of complete clustering predictability for a first‐order consensus model. Studies in Applied Mathematics. 148(3). 1364–1406. 4 indexed citations
10.
Ha, Seung‐Yeal, et al.. (2020). Stochastic persistency of nematic alignment state for the Justh–Krishnaprasad model with additive white noises. Mathematical Models and Methods in Applied Sciences. 30(4). 727–763. 7 indexed citations
11.
Ko, Dongnam, et al.. (2019). Dynamics and control for multi-agent networked systems: A finite-difference approach. Mathematical Models and Methods in Applied Sciences. 29(4). 755–790. 11 indexed citations
12.
Ha, Seung‐Yeal, et al.. (2018). On the Relaxation Dynamics of Lohe Oscillators on Some Riemannian Manifolds. Journal of Statistical Physics. 172(5). 1427–1478. 40 indexed citations
13.
Ha, Seung‐Yeal, Dongnam Ko, & Yinglong Zhang. (2017). Critical coupling strength of the Cucker–Smale model for flocking. Mathematical Models and Methods in Applied Sciences. 27(6). 1051–1087. 30 indexed citations
14.
Ha, Seung‐Yeal, et al.. (2017). Time-asymptotic interactions of two ensembles of Cucker-Smale flocking particles. Journal of Mathematical Physics. 58(7). 4 indexed citations
15.
Ha, Seung‐Yeal, et al.. (2016). Emergent dynamics in the interactions of Cucker-Smale ensembles. Kinetic and Related Models. 10(3). 689–723. 10 indexed citations
16.
Ha, Seung‐Yeal, Dongnam Ko, Jinyeong Park, & Xiongtao Zhang. (2016). Collective synchronization of classical and quantum oscillators. 3(2). 209–267. 72 indexed citations
17.
Ha, Seung‐Yeal, et al.. (2015). Emergent dynamics of Winfree oscillators on locally coupled networks. Journal of Differential Equations. 260(5). 4203–4236. 14 indexed citations
18.
Ha, Seung‐Yeal, et al.. (2015). Emergence of bi-cluster flocking for agent-based models with unit speed constraint. Analysis and Applications. 14(1). 39–73. 34 indexed citations
19.
Ko, Dongnam, et al.. (2011). Exponents of Convergence and Games. 1 indexed citations
20.
Chow, Paul & Dongnam Ko. (1971). Improving DCPSK Transmission by Means of Error Control. 19(5). 715–719. 13 indexed citations

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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