S. Miyauchi

112 total papers · 1.1k total citations
37 papers, 794 citations indexed

About

S. Miyauchi is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, S. Miyauchi has authored 37 papers receiving a total of 794 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cognitive Neuroscience, 6 papers in Computer Vision and Pattern Recognition and 6 papers in Computational Mechanics. Recurrent topics in S. Miyauchi's work include 3D Shape Modeling and Analysis (6 papers), Computer Graphics and Visualization Techniques (5 papers) and Neural dynamics and brain function (5 papers). S. Miyauchi is often cited by papers focused on 3D Shape Modeling and Analysis (6 papers), Computer Graphics and Visualization Techniques (5 papers) and Neural dynamics and brain function (5 papers). S. Miyauchi collaborates with scholars based in Japan, United States and France. S. Miyauchi's co-authors include R. Takino, Benno Pütz, Okihide Hikosaka, Yuka Sasaki, Kuniyoshi L. Sakai, Takashi Mashimo, Masahiko Shibata, Masahiko Sumitani, Gaku Sakaue and Yoichi Matsuda and has published in prestigious journals such as Applied Physics Letters, NeuroImage and Neurology.

In The Last Decade

S. Miyauchi

30 papers receiving 768 citations

Author Peers

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

Author Last Decade Papers Cites
S. Miyauchi 504 182 163 126 76 37 794
Melanie Lenz 416 0.8× 193 1.1× 165 1.0× 233 1.8× 45 0.6× 28 839
Patrice Revol 691 1.4× 69 0.4× 175 1.1× 134 1.1× 19 0.3× 56 905
Ralph Huonker 585 1.2× 51 0.3× 45 0.3× 176 1.4× 119 1.6× 48 894
Markus Breimhorst 428 0.8× 60 0.3× 148 0.9× 45 0.4× 61 0.8× 26 829
Matteo Martini 376 0.7× 74 0.4× 157 1.0× 23 0.2× 34 0.4× 38 748
Alf Inge Smievoll 445 0.9× 48 0.3× 31 0.2× 63 0.5× 112 1.5× 27 859
Hon C. Kwan 332 0.7× 63 0.3× 78 0.5× 128 1.0× 49 0.6× 29 811
Gábor Csifcsák 503 1.0× 145 0.8× 22 0.1× 410 3.3× 37 0.5× 50 858
Estelle Raffin 371 0.7× 120 0.7× 54 0.3× 396 3.1× 70 0.9× 32 671
Eiran Vadim Harel 415 0.8× 84 0.5× 60 0.4× 574 4.6× 61 0.8× 22 802

Countries citing papers authored by S. Miyauchi

Since Specialization
Citations

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

Fields of papers citing papers by S. Miyauchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Miyauchi

This figure shows the co-authorship network connecting the top 25 collaborators of S. Miyauchi. A scholar is included among the top collaborators of S. Miyauchi 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 S. Miyauchi. S. Miyauchi 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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