Masayasu Mimura

4.2k total citations
114 papers, 3.1k citations indexed

About

Masayasu Mimura is a scholar working on Public Health, Environmental and Occupational Health, Computer Networks and Communications and Modeling and Simulation. According to data from OpenAlex, Masayasu Mimura has authored 114 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Public Health, Environmental and Occupational Health, 34 papers in Computer Networks and Communications and 31 papers in Modeling and Simulation. Recurrent topics in Masayasu Mimura's work include Mathematical and Theoretical Epidemiology and Ecology Models (66 papers), Nonlinear Dynamics and Pattern Formation (34 papers) and Mathematical Biology Tumor Growth (30 papers). Masayasu Mimura is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (66 papers), Nonlinear Dynamics and Pattern Formation (34 papers) and Mathematical Biology Tumor Growth (30 papers). Masayasu Mimura collaborates with scholars based in Japan, France and Italy. Masayasu Mimura's co-authors include Tohru Tsujikawa, Atsushi Yagi, Yasumasa Nishiura, Koichi Osaki, Kohkichi Kawasaki, Hideo Sakaguchi, Mitsugu Matsushita, Hiroshi Matano, Jian Zu and Masato Iida and has published in prestigious journals such as PLoS ONE, Annals of the New York Academy of Sciences and Oikos.

In The Last Decade

Masayasu Mimura

110 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Masayasu Mimura Japan 30 1.5k 1.4k 818 737 564 114 3.1k
Michael J. Ward Canada 33 602 0.4× 413 0.3× 151 0.2× 1.1k 1.5× 809 1.4× 178 3.5k
Mingxin Wang China 40 3.8k 2.5× 2.2k 1.6× 2.2k 2.7× 834 1.1× 156 0.3× 256 5.1k
Dongmei Xiao China 38 3.7k 2.4× 1.4k 1.0× 2.5k 3.1× 1.1k 1.5× 409 0.7× 154 5.2k
Yuan Lou United States 41 5.3k 3.4× 3.0k 2.2× 3.6k 4.4× 614 0.8× 176 0.3× 145 6.3k
Junping Shi United States 48 4.7k 3.0× 2.3k 1.7× 2.9k 3.5× 1.8k 2.5× 241 0.4× 190 7.0k
V. Hutson United Kingdom 30 1.9k 1.2× 766 0.6× 1.4k 1.7× 258 0.4× 159 0.3× 76 3.2k
Vicenç Méndez Spain 31 705 0.5× 714 0.5× 390 0.5× 414 0.6× 917 1.6× 130 2.9k
Peter W. Bates United States 36 730 0.5× 511 0.4× 196 0.2× 993 1.3× 205 0.4× 98 4.7k
L. M. Perko United States 16 892 0.6× 381 0.3× 591 0.7× 389 0.5× 130 0.2× 44 2.9k
Björn Sandstede United States 39 602 0.4× 192 0.1× 226 0.3× 2.4k 3.3× 344 0.6× 141 5.2k

Countries citing papers authored by Masayasu Mimura

Since Specialization
Citations

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

Fields of papers citing papers by Masayasu Mimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masayasu Mimura

This figure shows the co-authorship network connecting the top 25 collaborators of Masayasu Mimura. A scholar is included among the top collaborators of Masayasu Mimura 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 Masayasu Mimura. Masayasu Mimura 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, Yong-Jung, Masayasu Mimura, & Changwook Yoon. (2023). Nonlinear Diffusion for Bacterial Traveling Wave Phenomenon. Bulletin of Mathematical Biology. 85(5). 35–35.
2.
Elias, J. E., et al.. (2022). An aggregation model of cockroaches with fast-or-slow motion dichotomy. Journal of Mathematical Biology. 85(3). 28–28. 3 indexed citations
3.
Mimura, Masayasu, et al.. (2020). Existence and stability of non-monotone travelling wave solutions for the diffusive Lotka–Volterra system of three competing species. Nonlinearity. 33(10). 5080–5110. 7 indexed citations
4.
Elias, J. E., et al.. (2020). Asymptotic behavior of solutions of Aoki-Shida-Shigesada model in bounded domains. Discrete and Continuous Dynamical Systems - B. 26(4). 1917–1930. 3 indexed citations
5.
Mimura, Masayasu, et al.. (2019). Complex pattern formation driven by the interaction of stable fronts in a competition-diffusion system. Journal of Mathematical Biology. 80(1-2). 303–342. 2 indexed citations
6.
Tanaka, Gouhei, et al.. (2016). Parameter Scaling for Epidemic Size in a Spatial Epidemic Model with Mobile Individuals. PLoS ONE. 11(12). e0168127–e0168127. 12 indexed citations
7.
Bertsch, Michiel, et al.. (2013). Modeling contact inhibition of growth: Traveling waves. Networks and Heterogeneous Media. 8(1). 131–147. 6 indexed citations
8.
Funaki, Tadahisa, et al.. (2012). A link between microscopic and macroscopic models of self-organized aggregation. Networks and Heterogeneous Media. 7(4). 705–740. 15 indexed citations
9.
Ei, Shin-Ichiro, et al.. (2012). Infinite dimensional relaxation oscillation in aggregation-growth systems. Discrete and Continuous Dynamical Systems - B. 17(6). 1859–1887. 8 indexed citations
10.
Hilhorst, Dorothea, Sébastien Martin, & Masayasu Mimura. (2012). Singular limit of a competition–diffusion system with large interspecific interaction. Journal of Mathematical Analysis and Applications. 390(2). 488–513. 8 indexed citations
11.
Zu, Jian, Kaifa Wang, & Masayasu Mimura. (2011). Evolutionary branching and evolutionarily stable coexistence of predator species: Critical function analysis. Mathematical Biosciences. 231(2). 210–224. 12 indexed citations
12.
Bertsch, Michiel, Roberta Dal Passo, & Masayasu Mimura. (2010). A free boundary problem arising in a simplified tumour growth model of contact inhibition. Interfaces and Free Boundaries Mathematical Analysis Computation and Applications. 12(2). 235–250. 26 indexed citations
13.
Zu, Jian, Masayasu Mimura, & Yasuhiro Takeuchi. (2010). Adaptive evolution of foraging-related traits in a predator–prey community. Journal of Theoretical Biology. 268(1). 14–29. 17 indexed citations
14.
Chen, Xinfu, et al.. (2009). Self--motion of camphor discs. model and analysis. Networks and Heterogeneous Media. 4(1). 1–18. 18 indexed citations
15.
Zu, Jian, Masayasu Mimura, & Joe Yuichiro Wakano. (2009). The evolution of phenotypic traits in a predator–prey system subject to Allee effect. Journal of Theoretical Biology. 262(3). 528–543. 28 indexed citations
16.
Mimura, Masayasu, et al.. (2008). Synergistic effect of two inhibitors on one activator in a reaction-diffusion system. Physical Review E. 77(4). 46201–46201. 5 indexed citations
17.
Mimura, Masayasu, et al.. (1996). Multi-dimensional transition layers for an exothermic reaction-diffusion system in long cylindrical domains. Journal of mathematical sciences. 3(1). 109–179. 7 indexed citations
18.
Mimura, Masayasu, et al.. (1988). A size-distribution model with density-dependent growth rates. 5(1). 33–51. 5 indexed citations
19.
Nagai, Toshitaka & Masayasu Mimura. (1983). Some nonlinear degenerate diffusion equations related to population dynamics. Journal of the Mathematical Society of Japan. 35(3). 23 indexed citations
20.
Hosono, Yuzo & Masayasu Mimura. (1982). Singular perturbation approach to traveling waves in competing and diffusing species models. Kyoto journal of mathematics. 22(3). 25 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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