H. Matsuda

38 papers receiving 1.3k citations

Peers

H. Matsuda
Comparison fields: 5 of 120
  • Genetics 568
  • Condensed Matter Physics 211
  • Statistical and Nonlinear Physics 175
  • Sociology and Political Science 485
  • Public Health, Environmental and Occupational Health 318
Replace N. Ogita with:
N. Ogita Japan
Jeferson J. Arenzon Brazil
J. Camacho Spain
Kei‐ichi Tainaka Japan
Markus Porto Germany
Hirotsugu Matsuda Japan
T. J. Sluckin United Kingdom
Bahram Houchmandzadeh France
M. Vallade France
J. Kamphorst Leal da Silva Brazil
H. Matsuda relative to N. Ogita Japan N. Ogita's profile →
Citations per field
00.5×2.9×
N. Ogita · 1×
Citations per year

Countries citing papers authored by H. Matsuda

Since Specialization
Citations

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

Fields of papers citing papers by H. Matsuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992350
2 1997267
3 1977132
4 1989110
5 1974103
6 197583
7 197443
8 196740
9 198039
10 196439
11 197731
12
Surgical treatment of spontaneous dissection of the superior mesenteric artery: a case report.
200030
13 197828
14 198612
15 19828
16 20057
17 19797
18 19817
19 19847
20 19665

About H. Matsuda

H. Matsuda is a scholar working on Condensed Matter Physics, Atomic and Molecular Physics, and Optics, Public Health, Environmental and Occupational Health, Genetics and Biomedical Engineering, having authored 39 papers that have together received 1.4k indexed citations. Recurring topics across this work include Theoretical and Computational Physics (7 papers), Evolution and Genetic Dynamics (5 papers), Material Dynamics and Properties (3 papers), Genetic diversity and population structure (3 papers), Ocular Surface and Contact Lens (3 papers), Evolutionary Game Theory and Cooperation (3 papers), Corneal Surgery and Treatments (3 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (3 papers). The work is most often cited by research in Genetics (568 citations), Condensed Matter Physics (211 citations), Statistical and Nonlinear Physics (175 citations), Sociology and Political Science (485 citations) and Public Health, Environmental and Occupational Health (318 citations). H. Matsuda has collaborated with scholars based in Japan, Germany and Switzerland. Frequent co-authors include N. Ogita, Yoh Iwasa, Akira Sasaki, Mayuko Nakamaru, Kazunori Satō, K. Ishii, Y. Hiwatari, Naoyuki Takahata, Takuya Ogawa and Masaharu Tanemura. Their work appears in journals such as Progress of Theoretical Physics, Apmis, Journal of Mathematical Biology, Japanese Journal of Applied Physics and Journal of Theoretical Biology.

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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