S. Muto

620 citations
35 papers · 361 · h-index 10

Impact in

Papers in

S. Muto

32 papers receiving 353 citations

Peers

S. Muto
Comparison fields: 5 of 45
  • Condensed Matter Physics 209
  • Management Science and Operations Research 93
  • Economics and Econometrics 101
  • Electronic, Optical and Magnetic Materials 67
  • Biomedical Engineering 139
Replace Florian Brandl with:
Florian Brandl Germany
Y. Cui United States
Peng Shen China
Xiaoyu Ma China
A. Viviani Italy
Stuart Bermon United States
Takashi Shibuya Japan
Colin Benjamin India
Juwon Seo South Korea
Tianhan Wang China
S. Muto relative to Florian Brandl Germany Florian Brandl's profile →
Citations per field
00.5×1.5×
Florian Brandl · 1×
Citations per year

Countries citing papers authored by S. Muto

Since Specialization
Citations

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

Fields of papers citing papers by S. Muto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside S. Muto, 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 S. Muto Line = papers co-authored together S. Muto links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201958
2 200350
3 201738
4 198931
5 202131
6 201821
7 201816
8 202015
9 201610
10 20169
11 20068
12 20257
13 20177
14 19927
15 20217
16 20056
17 20215
18 19823
19 20243
20 19823

About S. Muto

S. Muto is a scholar working on Condensed Matter Physics, Biomedical Engineering, Economics and Econometrics, Management Science and Operations Research and Electrical and Electronic Engineering, having authored 35 papers that have together received 361 indexed citations. Recurring topics across this work include Physics of Superconductivity and Magnetism (15 papers), Superconducting Materials and Applications (12 papers), Game Theory and Voting Systems (9 papers), Game Theory and Applications (6 papers), Magnetic and transport properties of perovskites and related materials (5 papers), Advanced Condensed Matter Physics (3 papers), Economic theories and models (3 papers) and HVDC Systems and Fault Protection (3 papers). The work is most often cited by research in Condensed Matter Physics (209 citations), Management Science and Operations Research (93 citations), Economics and Econometrics (101 citations), Electronic, Optical and Magnetic Materials (67 citations) and Biomedical Engineering (139 citations). S. Muto has collaborated with scholars based in Japan, Netherlands and Romania. Frequent co-authors include S.H. Tijs, Y. Iijima, S. Fujita, Satoshi Awaji, R. Brânzei, Tatsunori Okada, T. Kiss, K. Kakimoto, J.A.M. Potters and M. Igarashi. Their work appears in journals such as IEEE Transactions on Applied Superconductivity, International Journal of Game Theory, Fuzzy Sets and Systems, Superconductor Science and Technology and Bulletin for international taxation.

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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