Kei Shibata

114 total papers · 1.2k total citations
62 papers, 632 citations indexed

About

Kei Shibata is a scholar working on Mechanics of Materials, Mechanical Engineering and Biomedical Engineering. According to data from OpenAlex, Kei Shibata has authored 62 papers receiving a total of 632 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Mechanics of Materials, 18 papers in Mechanical Engineering and 13 papers in Biomedical Engineering. Recurrent topics in Kei Shibata's work include Tribology and Wear Analysis (21 papers), Adhesion, Friction, and Surface Interactions (12 papers) and Semiconductor Quantum Structures and Devices (9 papers). Kei Shibata is often cited by papers focused on Tribology and Wear Analysis (21 papers), Adhesion, Friction, and Surface Interactions (12 papers) and Semiconductor Quantum Structures and Devices (9 papers). Kei Shibata collaborates with scholars based in Japan, United States and Russia. Kei Shibata's co-authors include Kazuo Hokkirigawa, Takeshi Yamaguchi, Yasushi Tomita, Shigeki Shibahara, Hachiro Tagami, Tsuyoshi NISHIWAKI, Hayao Taguchi, H Tagami, Rolf Müller and Tara Cohen and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Journal of Applied Physics.

In The Last Decade

Kei Shibata

61 papers receiving 603 citations

Author Peers

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

Author Last Decade Papers Cites
Kei Shibata 264 199 129 110 97 62 632
Nuri Akkaş 112 0.4× 48 0.2× 151 1.2× 44 0.4× 72 0.7× 43 630
Binjie Zhang 70 0.3× 132 0.7× 128 1.0× 46 0.4× 8 0.1× 43 760
J. Sikorski 56 0.2× 74 0.4× 44 0.3× 119 1.1× 91 0.9× 35 602
Hyunbin Kim 91 0.3× 93 0.5× 158 1.2× 164 1.5× 11 0.1× 75 748
David Cheneler 52 0.2× 147 0.7× 278 2.2× 50 0.5× 11 0.1× 77 717
Mark Ashton 61 0.2× 97 0.5× 211 1.6× 104 0.9× 12 0.1× 27 716
Raluca Ion 63 0.2× 101 0.5× 318 2.5× 43 0.4× 7 0.1× 28 613
Livia Angeloni 35 0.1× 81 0.4× 365 2.8× 23 0.2× 55 0.6× 33 673
Maria F. Pantano 90 0.3× 69 0.3× 245 1.9× 47 0.4× 13 0.1× 45 663
Marc Thielen 51 0.2× 440 2.2× 182 1.4× 124 1.1× 11 0.1× 42 733

Countries citing papers authored by Kei Shibata

Since Specialization
Citations

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

Fields of papers citing papers by Kei Shibata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kei Shibata

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