Kousuke Kuto

838 total citations
37 papers, 653 citations indexed

About

Kousuke Kuto is a scholar working on Public Health, Environmental and Occupational Health, Modeling and Simulation and Applied Mathematics. According to data from OpenAlex, Kousuke Kuto has authored 37 papers receiving a total of 653 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Public Health, Environmental and Occupational Health, 18 papers in Modeling and Simulation and 13 papers in Applied Mathematics. Recurrent topics in Kousuke Kuto's work include Mathematical and Theoretical Epidemiology and Ecology Models (27 papers), Mathematical Biology Tumor Growth (17 papers) and Nonlinear Differential Equations Analysis (10 papers). Kousuke Kuto is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (27 papers), Mathematical Biology Tumor Growth (17 papers) and Nonlinear Differential Equations Analysis (10 papers). Kousuke Kuto collaborates with scholars based in Japan, China and Taiwan. Kousuke Kuto's co-authors include Yoshio Yamada, Tohru Tsujikawa, Hiroshi Matsuzawa, Rui Peng, Koichi Osaki, Tatsunari Sakurai, Koki Watanabe, Shoji Yotsutani, Masaharu Nagayama and Hirokazu Ninomiya and has published in prestigious journals such as Journal of Mathematical Analysis and Applications, Physica D Nonlinear Phenomena and Journal of Differential Equations.

In The Last Decade

Kousuke Kuto

34 papers receiving 607 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kousuke Kuto Japan 13 549 422 348 132 106 37 653
Inkyung Ahn South Korea 13 455 0.8× 340 0.8× 319 0.9× 80 0.6× 76 0.7× 52 539
Yaping Wu China 14 450 0.8× 309 0.7× 186 0.5× 142 1.1× 114 1.1× 38 611
Shangbing Ai United States 13 387 0.7× 153 0.4× 162 0.5× 73 0.6× 82 0.8× 33 564
Manjun Ma China 13 299 0.5× 215 0.5× 146 0.4× 214 1.6× 96 0.9× 55 637
Chunhua Ou Canada 17 675 1.2× 374 0.9× 392 1.1× 215 1.6× 214 2.0× 64 920
Canrong Tian China 17 548 1.0× 242 0.6× 285 0.8× 34 0.3× 299 2.8× 54 722
Matthieu Alfaro France 14 290 0.5× 180 0.4× 157 0.5× 135 1.0× 62 0.6× 44 477
Yuzo Hosono Japan 10 422 0.8× 232 0.5× 257 0.7× 73 0.6× 148 1.4× 18 544
Fei-Ying Yang China 18 682 1.2× 553 1.3× 335 1.0× 211 1.6× 37 0.3× 49 805

Countries citing papers authored by Kousuke Kuto

Since Specialization
Citations

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

Fields of papers citing papers by Kousuke Kuto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kousuke Kuto

This figure shows the co-authorship network connecting the top 25 collaborators of Kousuke Kuto. A scholar is included among the top collaborators of Kousuke Kuto 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 Kousuke Kuto. Kousuke Kuto 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.
Kuto, Kousuke, et al.. (2024). Morse Index of Steady-States to the SKT Model with Dirichlet Boundary Conditions. SIAM Journal on Mathematical Analysis. 56(4). 5386–5408.
2.
Adachi, Masahiro & Kousuke Kuto. (2024). Bifurcation structure of steady states for a cooperative model with population flux by attractive transition. Studies in Applied Mathematics. 153(4).
3.
Kuto, Kousuke. (2022). Global structure of steady-states to the full cross-diffusion limit in the Shigesada-Kawasaki-Teramoto model. Journal of Differential Equations. 333. 103–143. 4 indexed citations
4.
Kuto, Kousuke, et al.. (2020). On the unboundedness of the ratio of species and resources for the diffusive logistic equation. Discrete and Continuous Dynamical Systems - B. 26(5). 2441–2450. 6 indexed citations
5.
Kuto, Kousuke, et al.. (2018). Global solution branches for a nonlocal Allen–Cahn equation. Journal of Differential Equations. 264(9). 5928–5949. 5 indexed citations
6.
Kuto, Kousuke, et al.. (2018). Bifurcation structure of stationary solutions for a chemotaxis system with bistable growth. Japan Journal of Industrial and Applied Mathematics. 35(2). 441–475. 3 indexed citations
7.
Kuto, Kousuke, et al.. (2017). Secondary bifurcation for a nonlocal Allen–Cahn equation. Journal of Differential Equations. 263(5). 2687–2714. 7 indexed citations
8.
9.
Kuto, Kousuke & Tohru Tsujikawa. (2014). Limiting structure of steady-states to the Lotka–Volterra competition model with large diffusion and advection. Journal of Differential Equations. 258(5). 1801–1858. 24 indexed citations
10.
Kuto, Kousuke, Koichi Osaki, Tatsunari Sakurai, & Tohru Tsujikawa. (2012). Spatial pattern formation in a chemotaxis–diffusion–growth model. Physica D Nonlinear Phenomena. 241(19). 1629–1639. 61 indexed citations
11.
Kuto, Kousuke & Yoshio Yamada. (2010). Positive solutions for Lotka–Volterra competition systems with large cross-diffusion. Applicable Analysis. 89(7). 1037–1066. 34 indexed citations
12.
Kuto, Kousuke & Tohru Tsujikawa. (2009). Shadow system for adsorbate-induced phase transition model (Mathematical analysis on the self-organization and self-similarity). Kyoto University Research Information Repository (Kyoto University). 15. 1–14.
13.
Kuto, Kousuke & Yoshio Yamada. (2009). Coexistence problem for a prey–predator model with density-dependent diffusion. Nonlinear Analysis. 71(12). e2223–e2232. 19 indexed citations
14.
Kuto, Kousuke. (2007). A strongly coupled diffusion effect on the stationary solution set of a prey-predator model. Advances in Differential Equations. 12(2). 11 indexed citations
15.
Kuto, Kousuke. (2007). Bifurcation branch of stationary solutions for a Lotka–Volterra cross-diffusion system in a spatially heterogeneous environment. Nonlinear Analysis Real World Applications. 10(2). 943–965. 32 indexed citations
16.
Kuto, Kousuke. (2006). Bifurcation structure of the stationary solution set to a strongly coupled diffusion system(Mathematical Models of Phenomena and Evolution Equations). Kyoto University Research Information Repository (Kyoto University). 1475. 73–90. 2 indexed citations
17.
Kuto, Kousuke, et al.. (2006). Positive steady states for a prey–predator model with some nonlinear diffusion terms. Journal of Mathematical Analysis and Applications. 323(2). 1387–1401. 45 indexed citations
18.
Watanabe, Koki & Kousuke Kuto. (2006). NUMERICAL ANALYSIS OF OPTICAL WAVEGUIDES BASED ON PERIODIC FOURIER TRANSFORM. Electromagnetic waves. 64. 1–21. 16 indexed citations
19.
Kuto, Kousuke & Yoshio Yamada. (2003). Multiple coexistence states for a prey–predator system with cross-diffusion. Journal of Differential Equations. 197(2). 315–348. 123 indexed citations
20.
Kuto, Kousuke. (2003). Stability of steady-state solutions to a prey–predator system with cross-diffusion. Journal of Differential Equations. 197(2). 293–314. 77 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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