Masayasu Mimura

122 papers receiving 3.1k citations

Peers

Masayasu Mimura
Comparison fields: 5 of 79
  • Modeling and Simulation 857
  • Numerical Analysis 280
  • Public Health, Environmental and Occupational Health 1.5k
  • Applied Mathematics 602
  • Computer Networks and Communications 806
Replace Michael J. Ward with:
Michael J. Ward Canada
Nicholas D. Alikakos United States
Danielle Hilhorst France
Steven R. Dunbar United States
Peter W. Bates United States
Jean‐Michel Roquejoffre France
Stephen A. Gourley United Kingdom
Laurent Desvillettes France
Wenxian Shen United States
Stéphane Mischler France
Masayasu Mimura relative to Michael J. Ward Canada Michael J. Ward's profile →
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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-authors

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

Showing the 20 most-cited of 127 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002360
2 2000192
3 1980182
4 1996142
5 1983137
6 1989112
7 2006108
8 198098
9 198192
10 201081
11 199874
12 200666
13 198464
14 197963
15 198558
16 200456
17 200155
18 198353
19 200353
20 200048

About Masayasu Mimura

Masayasu Mimura is a scholar working on Public Health, Environmental and Occupational Health, Computer Networks and Communications, Numerical Analysis, Modeling and Simulation and Applied Mathematics, having authored 127 papers that have together received 3.5k indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (62 papers), Nonlinear Dynamics and Pattern Formation (46 papers), Nonlinear Partial Differential Equations (24 papers), Differential Equations and Numerical Methods (19 papers), Mathematical Biology Tumor Growth (18 papers), Differential Equations and Boundary Problems (6 papers), Combustion and flame dynamics (5 papers) and Nonlinear Waves and Solitons (3 papers). The work is most often cited by research in Modeling and Simulation (857 citations), Numerical Analysis (280 citations), Public Health, Environmental and Occupational Health (1.5k citations), Applied Mathematics (602 citations) and Computer Networks and Communications (806 citations). Masayasu Mimura has collaborated with scholars based in Japan, France and Austria. Frequent co-authors include Tohru Tsujikawa, Atsushi Yagi, Yasumasa Nishiura, Koichi Osaki, Kohkichi Kawasaki, Hideo Sakaguchi, Hiroshi Matano, Mitsugu Matsushita, Jian Zu and Hirokazu Ninomiya. 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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