Masayuki Yano

1.3k total citations
45 papers, 736 citations indexed

About

Masayuki Yano is a scholar working on Computational Mechanics, Statistical and Nonlinear Physics and Numerical Analysis. According to data from OpenAlex, Masayuki Yano has authored 45 papers receiving a total of 736 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computational Mechanics, 23 papers in Statistical and Nonlinear Physics and 10 papers in Numerical Analysis. Recurrent topics in Masayuki Yano's work include Model Reduction and Neural Networks (23 papers), Advanced Numerical Methods in Computational Mathematics (18 papers) and Numerical methods for differential equations (10 papers). Masayuki Yano is often cited by papers focused on Model Reduction and Neural Networks (23 papers), Advanced Numerical Methods in Computational Mathematics (18 papers) and Numerical methods for differential equations (10 papers). Masayuki Yano collaborates with scholars based in United States, Canada and France. Masayuki Yano's co-authors include David Darmofal, Anthony T. Patera, Yvon Maday, Mitchell L. R. Walker, A.T. Patera, Yvon Maday, Olga Mula, Karsten Urban, Tommaso Taddei and Matthew J. Zahr and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Computational Physics and Computer Methods in Applied Mechanics and Engineering.

In The Last Decade

Masayuki Yano

42 papers receiving 705 citations

Peers

Masayuki Yano
Comparison fields: 5 of 65
  • Statistical and Nonlinear Physics 413
  • Computational Mechanics 404
  • Statistics, Probability and Uncertainty 183
  • Numerical Analysis 112
  • Aerospace Engineering 90
Replace Youngsoo Choi with:
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A.T. Patera United States
Federico Negri Switzerland
Jens Berg Sweden
Deep Ray United States
Bing Yu China
L. Machiels Switzerland
A.G. Buchan United Kingdom
Todd Oliver United States
Marc Gerritsma Netherlands
Youngsoo Choi United States View profile →
Citations per field, relative to Masayuki Yano
Masayuki Yano · 1×
Citations per year, relative to Masayuki Yano
Masayuki Yano · 1×

Countries citing papers authored by Masayuki Yano

Since Specialization
Citations

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

Fields of papers citing papers by Masayuki Yano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masayuki Yano

This figure shows the co-authorship network connecting the top 25 collaborators of Masayuki Yano. A scholar is included among the top collaborators of Masayuki Yano 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 Masayuki Yano. Masayuki Yano 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
# Work Indexed citations
1 2
2 0
3 2
4 3
5 16
6 14
7 2
8 4
9 2
10 15
11 8
12 18
13 27
14
A SPACE-TIME CERTIFIED REDUCED BASIS METHOD FOR BURGERS' EQUATION
1
15 50
16 9
17
On Dual-Weighted Residual Error Estimates for p-Dependent Discretizations
5
18 2
19 7
20 7

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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