Hiroyoshi Mitake

715 citations
36 papers · 343 · h-index 12

Impact in

Papers in

Hiroyoshi Mitake

33 papers receiving 319 citations

Peers

Hiroyoshi Mitake
Comparison fields: 5 of 30
  • Applied Mathematics 214
  • Modeling and Simulation 84
  • Statistical and Nonlinear Physics 116
  • Computational Theory and Mathematics 127
  • Mathematical Physics 66
Replace Andrea Davini with:
Andrea Davini Italy
Nicoletta Tchou France
Francesca Da Lio Italy
Mateusz Kwaśnicki Poland
Annalisa Cesaroni Italy
Alpár R. Mészáros United States
Paul H. Bezandry United States
Luz Roncal Spain
Zhen-Qing Chen United States
Pedro J. Miana Spain
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Citations per field
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Andrea Davini · 1×
Citations per year

Countries citing papers authored by Hiroyoshi Mitake

Since Specialization
Citations

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

Fields of papers citing papers by Hiroyoshi Mitake

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Hiroyoshi Mitake, 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 Hiroyoshi Mitake Line = papers co-authored together Hiroyoshi Mitake links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200730
2 200828
3 201526
4 201624
5 201323
6 201622
7 201622
8 200814
9 201913
10 201213
11 201112
12 201711
13 20099
14 20129
15 20169
16 20139
17 20198
18 20208
19 20188
20 20227

About Hiroyoshi Mitake

Hiroyoshi Mitake is a scholar working on Applied Mathematics, Computational Theory and Mathematics, Statistical and Nonlinear Physics, Finance and Modeling and Simulation, having authored 36 papers that have together received 343 indexed citations. Recurring topics across this work include Nonlinear Partial Differential Equations (18 papers), Geometric Analysis and Curvature Flows (13 papers), Quantum chaos and dynamical systems (11 papers), Advanced Mathematical Modeling in Engineering (9 papers), Stochastic processes and financial applications (8 papers), Mathematical Biology Tumor Growth (5 papers), Numerical methods for differential equations (4 papers) and Optimization and Variational Analysis (4 papers). The work is most often cited by research in Applied Mathematics (214 citations), Modeling and Simulation (84 citations), Statistical and Nonlinear Physics (116 citations), Computational Theory and Mathematics (127 citations) and Mathematical Physics (66 citations). Hiroyoshi Mitake has collaborated with scholars based in Japan, United States and Saudi Arabia. Frequent co-authors include Hung V. Tran, Hitoshi Ishii, Diogo A. Gomes, Guy Barles, Yoshikazu Giga, Yifeng Yu, Nam Q. Le, Wenjia Jing, Olivier Ley and Shôichi Sato. Their work appears in journals such as Nonlinear Differential Equations and Applications NoDEA, Journal de Mathématiques Pures et Appliquées, Archive for Rational Mechanics and Analysis, Journal of Differential Equations and Calculus of Variations and Partial Differential Equations.

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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