Masayasu Mimura

4.2k citations
114 papers · 3.1k indexed · h-index 30

Masayasu Mimura

110 papers receiving 2.7k citations

Peers

Masayasu Mimura
Comparison fields: 5 of 97
  • Modeling and Simulation 1.4k
  • Numerical Analysis 289
  • Public Health, Environmental and Occupational Health 1.5k
  • Applied Mathematics 429
  • Mathematical Physics 297
Replace Mingxin Wang with:
Mingxin Wang China
Michael J. Ward Canada
Yuan Lou United States
Shangjiang Guo China
V. Hutson United Kingdom
Izumi Takagi Japan
Dongmei Xiao China
Lenya Ryzhik United States
O. Arino France
Rui Peng China
Masayasu Mimura relative to Mingxin Wang China Mingxin Wang's profile →
Citations per field
00.5×1.5×
Mingxin Wang · 1×
Citations per year

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

The 25 scholars most cited alongside Masayasu Mimura, 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 Masayasu Mimura Line = papers co-authored together Masayasu Mimura links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20230
2 20223
3 20207
4 20203
5 20192
6 201612
7 20136
8 201215
9 20128
10 20128
11 201112
12 201026
13 201017
14 200918
15 200928
16 20085
17
Multi-dimensional transition layers for an exothermic reaction-diffusion system in long cylindrical domains
19967
18 19885
19 198323
20 198225

About Masayasu Mimura

Masayasu Mimura is a scholar working on Modeling and Simulation, Numerical Analysis, Public Health, Environmental and Occupational Health, Mathematical Physics and Computer Networks and Communications, having authored 114 papers that have together received 3.1k indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (66 papers), Nonlinear Dynamics and Pattern Formation (34 papers), Mathematical Biology Tumor Growth (30 papers), Evolution and Genetic Dynamics (26 papers), Advanced Mathematical Modeling in Engineering (18 papers), Stochastic processes and statistical mechanics (16 papers), Differential Equations and Numerical Methods (15 papers) and Evolutionary Game Theory and Cooperation (11 papers). The work is most often cited by research in Modeling and Simulation (1.4k citations), Numerical Analysis (289 citations), Public Health, Environmental and Occupational Health (1.5k citations), Applied Mathematics (429 citations) and Mathematical Physics (297 citations). Masayasu Mimura has collaborated with scholars based in Japan, France and Italy. Frequent co-authors include Tohru Tsujikawa, Atsushi Yagi, Yasumasa Nishiura, Koichi Osaki, Kohkichi Kawasaki, Hideo Sakaguchi, Mitsugu Matsushita, Hiroshi Matano, Jian Zu and Masato Iida. Their work appears in journals such as Hiroshima Mathematical Journal, Journal of Mathematical Biology, Japan Journal of Industrial and Applied Mathematics, SIAM Journal on Applied Mathematics and Journal of the Physical Society of Japan.

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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