Daisuke Furihata

1.1k citations
21 papers · 787 indexed · h-index 11
Topics
Numerical methods for differential equations (12 papers)Differential Equations and Numerical Methods (10 papers)Advanced Numerical Methods in Computational Mathematics (6 papers)
Partner nations
JapanSwedenAustria

In The Last Decade

Daisuke Furihata

20 papers receiving 747 citations

Peers

Daisuke Furihata
Comparison fields: 5 of 44
  • Numerical Analysis 447
  • Computational Mechanics 326
  • Statistical and Nonlinear Physics 249
  • Materials Chemistry 222
  • Computational Theory and Mathematics 171
Replace Yuezheng Gong with:
Yuezheng Gong China
Songhe Song China
Takayasu Matsuo Japan
Georgios Akrivis Greece
Mechthild Thalhammer Austria
Mengzhao Qin China
C. I. Christov United States
Jiaxiang Cai China
Achim Schädle Germany
В. А. Дородницын Russia
Daisuke Furihata relative to Yuezheng Gong China Yuezheng Gong's profile →
Citations per field
00.5×1.5×2.3×
Yuezheng Gong · 1×
Citations per year

Countries citing papers authored by Daisuke Furihata

Since Specialization
Citations

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

Fields of papers citing papers by Daisuke Furihata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daisuke Furihata

This figure shows the co-authorship network connecting the top 25 collaborators of Daisuke Furihata. A scholar is included among the top collaborators of Daisuke Furihata 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 Daisuke Furihata. Daisuke Furihata 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 2
3 7
4 66
5 17
6 3
7 10
8 1
9 4
10 5
11 4
12 59
13 11
14 25
15 22
16 98
17 215
18 112
19
Linearly Implicit Finite Difference Schemes Derived by the Discrete Variational Method (Numerical Soluti on of Partial Differential Equations and Related Topics)
1
20 122

About Daisuke Furihata

Daisuke Furihata is a scholar working on Numerical Analysis, Statistical and Nonlinear Physics and Computational Theory and Mathematics, having authored 21 papers that have together received 787 indexed citations. Recurring topics across this work include Numerical methods for differential equations (12 papers), Differential Equations and Numerical Methods (10 papers) and Advanced Numerical Methods in Computational Mathematics (6 papers). The work is most often cited by research in Numerical Analysis (447 citations), Modeling and Simulation (155 citations) and Statistical and Nonlinear Physics (249 citations). Daisuke Furihata has collaborated with scholars based in Japan, Sweden and Austria. Frequent co-authors include Takayasu Matsuo, Masatake Mori, Masaaki Sugihara, Satoshi Koide, Fredrik Lindgren, Mihály Kovács, Makoto Okumura, Yuto Miyatake, Stig Larsson and Hideyuki Suzuki. Their work appears in journals such as Journal of Computational Physics, Mathematics of Computation and SIAM Journal on Numerical Analysis.

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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