Fuyuki Nabeshima

936 total citations
50 papers, 669 citations indexed

About

Fuyuki Nabeshima is a scholar working on Electronic, Optical and Magnetic Materials, Condensed Matter Physics and Accounting. According to data from OpenAlex, Fuyuki Nabeshima has authored 50 papers receiving a total of 669 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Electronic, Optical and Magnetic Materials, 39 papers in Condensed Matter Physics and 24 papers in Accounting. Recurrent topics in Fuyuki Nabeshima's work include Iron-based superconductors research (43 papers), Physics of Superconductivity and Magnetism (28 papers) and Corporate Taxation and Avoidance (24 papers). Fuyuki Nabeshima is often cited by papers focused on Iron-based superconductors research (43 papers), Physics of Superconductivity and Magnetism (28 papers) and Corporate Taxation and Avoidance (24 papers). Fuyuki Nabeshima collaborates with scholars based in Japan, United States and Italy. Fuyuki Nabeshima's co-authors include Atsutaka Maeda, Yoshinori Imai, I. Tsukada, Y. Imai, Masafumi Hanawa, Ryō Ogawa, Ataru Ichinose, Iwao Hosako, Hideyuki Takahashi and Tatsunori Okada and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Applied Physics Letters.

In The Last Decade

Fuyuki Nabeshima

47 papers receiving 644 citations

Peers

Fuyuki Nabeshima
Comparison fields: 5 of 36
  • Electronic, Optical and Magnetic Materials 523
  • Condensed Matter Physics 436
  • Accounting 265
  • Materials Chemistry 117
  • Atomic and Molecular Physics, and Optics 86
Replace Guillaume Lang with:
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G. S. Tucker United States
Z. X. Zhao China
E. Bascones Spain
I. Paul France
Kangjun Seo United States
E. K. Vehstedt United States
Bingying Pan China
Guillaume Lang France View profile →
Citations per field, relative to Fuyuki Nabeshima
Fuyuki Nabeshima · 1×
Citations per year, relative to Fuyuki Nabeshima
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Countries citing papers authored by Fuyuki Nabeshima

Since Specialization
Citations

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

Fields of papers citing papers by Fuyuki Nabeshima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fuyuki Nabeshima

This figure shows the co-authorship network connecting the top 25 collaborators of Fuyuki Nabeshima. A scholar is included among the top collaborators of Fuyuki Nabeshima 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 Fuyuki Nabeshima. Fuyuki Nabeshima 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 0
2 1
3 2
4 3
5 21
6 7
7 31
8 20
9 4
10 0
11 1
12
Deep Learning of Superconductors I: Estimation of Critical Temperature of Superconductors Toward the Search for New Materials
1
13 22
14 6
15 3
16 33
17 10
18 1
19 9
20 20

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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