S. Nose

650 citations
28 papers · 536 · h-index 11

Impact in

Papers in

S. Nose

28 papers receiving 521 citations

Peers

S. Nose
Comparison fields: 5 of 28
  • Condensed Matter Physics 439
  • Biomedical Engineering 352
  • Electronic, Optical and Magnetic Materials 125
  • Electrical and Electronic Engineering 297
  • Energy Engineering and Power Technology 9
Replace Koichi Matsuda with:
Koichi Matsuda United Kingdom
A. Kudymow Germany
Sriharsha Venuturumilli United Kingdom
James Gawith United Kingdom
Jin Fang China
P. Schirrmeister Germany
Jiabin Yang United Kingdom
Kent Hamilton New Zealand
T. Ishigohka Japan
D. Willén Denmark
S. Nose relative to Koichi Matsuda United Kingdom Koichi Matsuda's profile →
Citations per field
00.5×2×3×
Koichi Matsuda · 1×
Citations per year

Countries citing papers authored by S. Nose

Since Specialization
Citations

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

Fields of papers citing papers by S. Nose

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197675
2 200174
3 200168
4 199866
5 199745
6 199939
7 200023
8 198523
9 199723
10 199920
11 200315
12 20039
13 19998
14 20028
15 20038
16 20025
17 19975
18 19994
19 20134
20
Current Distribution in Superconducting Parallel Conductors wound to pancake coils
19992

About S. Nose

S. Nose is a scholar working on Condensed Matter Physics, Biomedical Engineering, Electrical and Electronic Engineering, Aerospace Engineering and Electronic, Optical and Magnetic Materials, having authored 28 papers that have together received 536 indexed citations. Recurring topics across this work include Physics of Superconductivity and Magnetism (22 papers), Superconducting Materials and Applications (21 papers), Superconductivity in MgB2 and Alloys (5 papers), Magnetic Properties and Applications (4 papers), Magnetic confinement fusion research (4 papers), HVDC Systems and Fault Protection (4 papers), Particle accelerators and beam dynamics (4 papers) and Frequency Control in Power Systems (3 papers). The work is most often cited by research in Condensed Matter Physics (439 citations), Biomedical Engineering (352 citations), Electronic, Optical and Magnetic Materials (125 citations), Electrical and Electronic Engineering (297 citations) and Energy Engineering and Power Technology (9 citations). S. Nose has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include M. Iwakuma, K. Funaki, K. Kajikawa, Masayuki Konno, K. Yasuköchi, Hisashi Sekizawa, Takeshi Ogasawara, K. Tsutsumi, Atsushi Tomioka and Masanori Hara. Their work appears in journals such as IEEE Transactions on Applied Superconductivity, IEEE Transactions on Magnetics, Cryogenics, Physica C Superconductivity and Advances in cryogenic engineering.

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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