Doheon Kim

489 total citations
37 papers, 299 citations indexed

About

Doheon Kim is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Condensed Matter Physics. According to data from OpenAlex, Doheon Kim has authored 37 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Networks and Communications, 17 papers in Statistical and Nonlinear Physics and 8 papers in Condensed Matter Physics. Recurrent topics in Doheon Kim's work include Nonlinear Dynamics and Pattern Formation (16 papers), Distributed Control Multi-Agent Systems (12 papers) and Advanced Thermodynamics and Statistical Mechanics (10 papers). Doheon Kim is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (16 papers), Distributed Control Multi-Agent Systems (12 papers) and Advanced Thermodynamics and Statistical Mechanics (10 papers). Doheon Kim collaborates with scholars based in South Korea, China and United States. Doheon Kim's co-authors include Seung‐Yeal Ha, Jiu‐Gang Dong, Shi Jin, Jeongho Kim, Dongnam Ko, Jinwook Jung, Dohyun Kim, Daniel Saakes, Ok‐Sang Jung and Dongwon Kim and has published in prestigious journals such as IEEE Transactions on Automatic Control, Chemical Communications and Dalton Transactions.

In The Last Decade

Doheon Kim

35 papers receiving 272 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Doheon Kim South Korea 10 204 90 59 42 37 37 299
David Poyato Spain 6 101 0.5× 87 1.0× 69 1.2× 27 0.6× 41 1.1× 11 245
Sun-Ho Choi South Korea 10 228 1.1× 95 1.1× 43 0.7× 47 1.1× 52 1.4× 30 317
Dongnam Ko South Korea 12 381 1.9× 155 1.7× 75 1.3× 60 1.4× 96 2.6× 33 451
Zhuchun Li China 13 436 2.1× 141 1.6× 45 0.8× 69 1.6× 54 1.5× 29 488
Seung-Yeal Ha South Korea 12 205 1.0× 91 1.0× 77 1.3× 35 0.8× 85 2.3× 26 319
Jinyeong Park South Korea 12 335 1.6× 130 1.4× 39 0.7× 28 0.7× 96 2.6× 23 385
Jiandong Zhu China 9 221 1.1× 71 0.8× 9 0.2× 47 1.1× 21 0.6× 18 319
Bastien Fernandez France 11 205 1.0× 237 2.6× 18 0.3× 33 0.8× 51 1.4× 41 416
Angélica S. Mata Brazil 11 39 0.2× 199 2.2× 66 1.1× 50 1.2× 22 0.6× 20 323
Hermen Jan Hupkes Netherlands 13 183 0.9× 126 1.4× 39 0.7× 97 2.3× 10 0.3× 46 390

Countries citing papers authored by Doheon Kim

Since Specialization
Citations

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

Fields of papers citing papers by Doheon Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Doheon Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Doheon Kim. A scholar is included among the top collaborators of Doheon Kim 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 Doheon Kim. Doheon Kim 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.
Kim, Doheon, et al.. (2025). On the convergence result of the gradient-push algorithm on directed graphs with constant stepsize. Journal of Global Optimization. 92(3). 713–736.
2.
Ha, Seung‐Yeal, et al.. (2022). The mean-field limit of the Cucker-Smale model on complete Riemannian manifolds. Quarterly of Applied Mathematics. 5 indexed citations
3.
4.
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
5.
Kim, Doheon, et al.. (2022). Convergence Results of a Nested Decentralized Gradient Method for Non-strongly Convex Problems. Journal of Optimization Theory and Applications. 195(1). 172–204. 1 indexed citations
6.
Kim, Dongwon, et al.. (2021). A cyclic manipulation of cage isomers via anion exchange and thermal isomerism. Chemical Communications. 57(23). 2919–2922. 5 indexed citations
7.
Ha, Seung‐Yeal, Shi Jin, & Doheon Kim. (2021). Convergence and error estimates for time-discrete consensus-based optimization algorithms. Numerische Mathematik. 147(2). 255–282. 25 indexed citations
8.
Dong, Jiu‐Gang, Seung‐Yeal Ha, Jinwook Jung, & Doheon Kim. (2021). Emergence of stochastic flocking for the discrete Cucker–Smale model with randomly switching topologies. Communications in Mathematical Sciences. 19(1). 205–228. 5 indexed citations
9.
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
10.
Dong, Jiu‐Gang, Seung‐Yeal Ha, & Doheon Kim. (2020). On the Cucker-Smale ensemble with <inline-formula><tex-math id="M1">\begin{document}$ q $\end{document}</tex-math></inline-formula>-closest neighbors under time-delayed communications. Kinetic and Related Models. 13(4). 653–676. 1 indexed citations
11.
Ha, Seung‐Yeal, et al.. (2020). Slow flocking dynamics of the Cucker-Smale ensemble with a chemotactic movement in a temperature field. Kinetic and Related Models. 13(4). 759–793. 1 indexed citations
12.
Dong, Jiu‐Gang, Seung‐Yeal Ha, & Doheon Kim. (2020). Emergent Behaviors of the Kuramoto Model with a Time Delay on a General Digraph. SIAM Journal on Applied Dynamical Systems. 19(1). 304–328. 14 indexed citations
13.
Dong, Jiu‐Gang, Seung‐Yeal Ha, & Doheon Kim. (2020). On the Cucker--Smale Ensemble with the q-Closest Neighbors in a Self-Consistent Temperature Field. SIAM Journal on Control and Optimization. 58(1). 368–392. 2 indexed citations
14.
Dong, Jiu‐Gang, Seung‐Yeal Ha, Jinwook Jung, & Doheon Kim. (2020). On the Stochastic Flocking of the Cucker--Smale Flock with Randomly Switching Topologies. SIAM Journal on Control and Optimization. 58(4). 2332–2353. 18 indexed citations
15.
Dong, Jiu‐Gang, Seung‐Yeal Ha, & Doheon Kim. (2019). Nonlinear functional approach for mono-cluster flocking to the discrete Cucker–Smale model. Communications in Mathematical Sciences. 17(8). 2239–2256. 5 indexed citations
16.
Ha, Seung‐Yeal, Doheon Kim, & Zhuchun Li. (2019). Emergent flocking dynamics of the discrete thermodynamic Cucker-Smale model. Quarterly of Applied Mathematics. 78(4). 589–615. 4 indexed citations
17.
Dong, Jiu‐Gang, Seung‐Yeal Ha, & Doheon Kim. (2019). From discrete Cucker-Smale model to continuous Cucker-Smale model in a temperature field. Journal of Mathematical Physics. 60(7). 5 indexed citations
18.
Dong, Jiu‐Gang, Seung‐Yeal Ha, Doheon Kim, & Jeongho Kim. (2018). Time-delay effect on the flocking in an ensemble of thermomechanical Cucker–Smale particles. Journal of Differential Equations. 266(5). 2373–2407. 33 indexed citations
19.
Ha, Seung‐Yeal, et al.. (2018). Remarks on the stability properties of the Kuramoto–Sakaguchi–Fokker–Planck equation with frustration. Zeitschrift für angewandte Mathematik und Physik. 69(4). 2 indexed citations
20.
Ha, Seung‐Yeal & Doheon Kim. (2018). Robustness and asymptotic stability for the Winfree model on a general network under the effect of time-delay. Journal of Mathematical Physics. 59(11). 7 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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