Yuto Miyatake

432 citations
39 papers · 235 indexed · h-index 9
Topics
Numerical methods for differential equations (24 papers)Advanced Numerical Methods in Computational Mathematics (13 papers)Matrix Theory and Algorithms (13 papers)
Partner nations
JapanNew ZealandAustria

In The Last Decade

Yuto Miyatake

34 papers receiving 228 citations

Peers

Yuto Miyatake
Comparison fields: 5 of 46
  • Numerical Analysis 164
  • Statistical and Nonlinear Physics 82
  • Computational Mechanics 73
  • Computational Theory and Mathematics 66
  • Electrical and Electronic Engineering 40
Replace Samir Kumar Bhowmik with:
Samir Kumar Bhowmik Bangladesh
Anna Lischke United States
Ulla Miekkala United States
Will M. Wright Australia
Philipp Bader Spain
Akbar Shirilord Iran
Vasile Gradinaru Switzerland
Rafikul Alam India
Paul Bracken Canada
Rathinavel Silambarasan India
Yuto Miyatake relative to Samir Kumar Bhowmik Bangladesh Samir Kumar Bhowmik's profile →
Citations per field
00.5×2.7×
Samir Kumar Bhowmik · 1×
Citations per year

Countries citing papers authored by Yuto Miyatake

Since Specialization
Citations

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

Fields of papers citing papers by Yuto Miyatake

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuto Miyatake

This figure shows the co-authorship network connecting the top 25 collaborators of Yuto Miyatake. A scholar is included among the top collaborators of Yuto Miyatake based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yuto Miyatake. Yuto Miyatake is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 0
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6 5
7 10
8 5
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10 9
11 8
12 6
13 3
14 2
15 31
16 6
17 27
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20 2

About Yuto Miyatake

Yuto Miyatake is a scholar working on Numerical Analysis, Statistical and Nonlinear Physics and Modeling and Simulation, having authored 39 papers that have together received 235 indexed citations. Recurring topics across this work include Numerical methods for differential equations (24 papers), Advanced Numerical Methods in Computational Mathematics (13 papers) and Matrix Theory and Algorithms (13 papers). The work is most often cited by research in Numerical Analysis (164 citations), Modeling and Simulation (37 citations) and Statistical and Nonlinear Physics (82 citations). Yuto Miyatake has collaborated with scholars based in Japan, New Zealand and Austria. Frequent co-authors include Takayasu Matsuo, J. C. Butcher, Tomohiro Sogabe, Shao‐Liang Zhang, Daisuke Furihata, Takashi Matsubara, Shin‐ichi Ito, Takeo Hoshi, David Cohen and Yusaku Yamamoto. Their work appears in journals such as Journal of Computational Physics, Computer Physics Communications and Physics Letters A.

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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