К. Мацуба

726 citations
9 papers · 487 indexed · h-index 5
Topics
Physics of Superconductivity and Magnetism (3 papers)Superconductivity in MgB2 and Alloys (2 papers)Nuclear reactor physics and engineering (2 papers)
Partner nations
JapanKazakhstanFrance

In The Last Decade

К. Мацуба

9 papers receiving 466 citations

Peers

К. Мацуба
Comparison fields: 5 of 48
  • Atomic and Molecular Physics, and Optics 260
  • Artificial Intelligence 195
  • Materials Chemistry 159
  • Electrical and Electronic Engineering 125
  • Biomedical Engineering 50
Replace Ata Ulhaq with:
Ata Ulhaq Germany
Shi-Wei Gu China
Yen‐Hsiang Lin United States
Lily Yang United States
Evan Walsh United States
Le T.T. Phuong Vietnam
A. S. Bracker United States
S. Jaziri Tunisia
Nzar Rauf Abdullah Iraq
Yiqi Hu China
К. Мацуба relative to Ata Ulhaq Germany Ata Ulhaq's profile →
Citations per field
00.5×1.5×1.8×
Ata Ulhaq · 1×
Citations per year

Countries citing papers authored by К. Мацуба

Since Specialization
Citations

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

Fields of papers citing papers by К. Мацуба

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of К. Мацуба

This figure shows the co-authorship network connecting the top 25 collaborators of К. Мацуба. A scholar is included among the top collaborators of К. Мацуба 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 К. Мацуба. К. Мацуба is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
#WorkIndexed citations
1 2
2 71
3
R&D and Experimental Programs to support the ASTRID Core Assessment in Severe Accidents Conditions
6
4 116
5 3
6 2
7 276
8
FORMATION AND ELECTRICAL CHARACTERISTICS OF SILICON DIOXIDE LAYERS BY USE OF NITRIC ACID OXIDATION METHOD 1
10
9 1

About К. Мацуба

К. Мацуба is a scholar working on General Materials Science, Condensed Matter Physics and Safety, Risk, Reliability and Quality, having authored 9 papers that have together received 487 indexed citations. Recurring topics across this work include Physics of Superconductivity and Magnetism (3 papers), Superconductivity in MgB2 and Alloys (2 papers) and Nuclear reactor physics and engineering (2 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (260 citations), Artificial Intelligence (195 citations) and Condensed Matter Physics (40 citations). К. Мацуба has collaborated with scholars based in Japan, Kazakhstan and France. Frequent co-authors include Michio Watanabe, Tsuyoshi Yamamoto, K. Inomata, Toshiyuki Miyazaki, Yasunobu Nakamura, William D. Oliver, J. S. Tsai, Renzhi Ma, Takayoshi Sasaki and Yusuke Yamauchi. Their work appears in journals such as Applied Physics Letters, Journal of Applied Physics and Chemistry of Materials.

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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2026