Satoshi Matsuda

122 total papers · 1.1k total citations
71 papers, 853 citations indexed

About

Satoshi Matsuda is a scholar working on Nuclear and High Energy Physics, Geometry and Topology and Statistical and Nonlinear Physics. According to data from OpenAlex, Satoshi Matsuda has authored 71 papers receiving a total of 853 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Nuclear and High Energy Physics, 12 papers in Geometry and Topology and 11 papers in Statistical and Nonlinear Physics. Recurrent topics in Satoshi Matsuda's work include Quantum Chromodynamics and Particle Interactions (16 papers), Particle physics theoretical and experimental studies (13 papers) and High-Energy Particle Collisions Research (12 papers). Satoshi Matsuda is often cited by papers focused on Quantum Chromodynamics and Particle Interactions (16 papers), Particle physics theoretical and experimental studies (13 papers) and High-Energy Particle Collisions Research (12 papers). Satoshi Matsuda collaborates with scholars based in Japan, United States and United Kingdom. Satoshi Matsuda's co-authors include Keiji Igi, Tsuneo Uematsu, Jiro Kodaira, Ken Sasaki, Mitsuhiro Kato, Charles B. Chiu, F. Halzen, C. Rebbi, Richard G. Roberts and Rudolph C. Hwa and has published in prestigious journals such as Physical Review Letters, Journal of Agricultural and Food Chemistry and Nuclear Physics B.

In The Last Decade

Satoshi Matsuda

64 papers receiving 819 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Satoshi Matsuda 606 94 91 73 50 71 853
G. Sartori 594 1.0× 101 1.1× 84 0.9× 57 0.8× 26 0.5× 57 798
P. Rossi 549 0.9× 145 1.5× 127 1.4× 111 1.5× 12 0.2× 56 797
L. Caneschi 604 1.0× 113 1.2× 168 1.8× 29 0.4× 26 0.5× 52 821
Richard H. Capps 645 1.1× 53 0.6× 249 2.7× 33 0.5× 143 2.9× 94 849
I.G. Halliday 627 1.0× 185 2.0× 202 2.2× 58 0.8× 19 0.4× 46 909
R. Ferrari 616 1.0× 169 1.8× 194 2.1× 57 0.8× 10 0.2× 33 786
N.S. Craigie 742 1.2× 122 1.3× 119 1.3× 45 0.6× 15 0.3× 56 851
V. Alessandrini 595 1.0× 196 2.1× 261 2.9× 97 1.3× 47 0.9× 44 867
R. J. Finkelstein 386 0.6× 272 2.9× 255 2.8× 65 0.9× 21 0.4× 60 832
K. Kikkawa 526 0.9× 239 2.5× 168 1.8× 71 1.0× 19 0.4× 28 763

Countries citing papers authored by Satoshi Matsuda

Since Specialization
Citations

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

Fields of papers citing papers by Satoshi Matsuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Satoshi Matsuda

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

All Works

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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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