Mamoru Mimura

3.9k citations
193 papers · 2.4k · h-index 26

Impact in

Papers in

Mamoru Mimura

174 papers receiving 2.0k citations

Peers

Mamoru Mimura
Comparison fields: 5 of 115
  • Mathematical Physics 645
  • Algebra and Number Theory 289
  • Geometry and Topology 450
  • Modeling and Simulation 184
  • Computer Networks and Communications 721
Replace Héctor J. Sussmann with:
Héctor J. Sussmann United States
J. L. Brenner United States
Andrzej Lasota Poland
Jan A. Sanders Netherlands
William Moran Australia
G.-C Rota United States
Tien-Yien Li United States
Konstantin Mischaikow United States
Nico Μ. Τemme Netherlands
Ian Melbourne United Kingdom
Mamoru Mimura relative to Héctor J. Sussmann United States Héctor J. Sussmann's profile →
Citations per field
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Héctor J. Sussmann · 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 193 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1978154
2 1989139
3 198281
4 199981
5 199975
6 198969
7 200256
8 199056
9 200455
10 196751
11 196350
12 197149
13 199548
14 202048
15 197046
16 200044
17 199139
18 199635
19 200133
20 196333

About Mamoru Mimura

Mamoru Mimura is a scholar working on Mathematical Physics, Computer Networks and Communications, Geometry and Topology, Civil and Structural Engineering and Algebra and Number Theory, having authored 193 papers that have together received 2.4k indexed citations. Recurring topics across this work include Homotopy and Cohomology in Algebraic Topology (43 papers), Advanced Malware Detection Techniques (32 papers), Network Security and Intrusion Detection (31 papers), Advanced Topics in Algebra (29 papers), Algebraic structures and combinatorial models (20 papers), Spam and Phishing Detection (19 papers), Nonlinear Dynamics and Pattern Formation (18 papers) and Advanced Algebra and Geometry (17 papers). The work is most often cited by research in Mathematical Physics (645 citations), Algebra and Number Theory (289 citations), Geometry and Topology (450 citations), Modeling and Simulation (184 citations) and Computer Networks and Communications (721 citations). Mamoru Mimura has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Hirosi Toda, J. D. Murray, Yasumasa Nishiura, T. Ohta, H. Ikeda, Ryo Kobayashi, Hiroshi Fujii, Dorothea Hilhorst, Akira Kono and E. N. Dancer. Their work appears in journals such as Kyoto journal of mathematics, SOILS AND FOUNDATIONS, IEEE Access, Publications of the Research Institute for Mathematical Sciences and Internet of Things.

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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