Mamoru Mimura

3.8k citations
227 papers · 2.9k · h-index 28

Impact in

Papers in

Mamoru Mimura

208 papers receiving 2.5k citations

Peers

Mamoru Mimura
Comparison fields: 5 of 96
  • Mathematical Physics 807
  • Signal Processing 340
  • Computer Networks and Communications 672
  • Numerical Analysis 117
  • Geometry and Topology 177
Replace David S. Mazel with:
David S. Mazel United States
Jack X. Xin United States
Ian Melbourne United Kingdom
Wolfram Just Germany
Lenya Ryzhik United States
George R. Sell United States
Murray H. Protter United States
Jinqiao Duan United States
Rafail Zalmanovich Khas'minskii United States
Ferdinand Verhulst Netherlands
Mamoru Mimura relative to David S. Mazel United States David S. Mazel's profile →
Citations per field
00.5×5×10×16.2×
David S. Mazel · 1×
Citations per year

Countries citing papers authored by Mamoru Mimura

Since Specialization
Citations

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

Fields of papers citing papers by Mamoru Mimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 227 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1978169
2 1989148
3 198299
4 199989
5 199984
6 198975
7 199061
8 196360
9 200260
10 200460
11 197058
12 196757
13 197157
14 202056
15 200055
16 199554
17 199145
18 199541
19 202140
20 196339

About Mamoru Mimura

Mamoru Mimura is a scholar working on Mathematical Physics, Signal Processing, Civil and Structural Engineering, Computer Networks and Communications and Applied Mathematics, having authored 227 papers that have together received 2.9k indexed citations. Recurring topics across this work include Homotopy and Cohomology in Algebraic Topology (60 papers), Advanced Malware Detection Techniques (36 papers), Geotechnical Engineering and Soil Mechanics (31 papers), Nonlinear Dynamics and Pattern Formation (20 papers), Geotechnical Engineering and Soil Stabilization (19 papers), Network Security and Intrusion Detection (17 papers), Mathematical and Theoretical Epidemiology and Ecology Models (16 papers) and Nonlinear Partial Differential Equations (11 papers). The work is most often cited by research in Mathematical Physics (807 citations), Signal Processing (340 citations), Computer Networks and Communications (672 citations), Numerical Analysis (117 citations) and Geometry and Topology (177 citations). Mamoru Mimura has collaborated with scholars based in Japan, France and United States. Frequent co-authors include Hirosi Toda, J. D. Murray, Yasumasa Nishiura, Danielle Hilhorst, T. Ohta, H. Ikeda, Hidema Tanaka, Ryo Kobayashi, Akira Kono and Edward Norman Dancer. Their work appears in journals such as Kyoto journal of mathematics, SOILS AND FOUNDATIONS, IEEE Access, Internet of Things and Publications of the Research Institute for Mathematical Sciences.

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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