Tsuyoshi INOUE

467 total papers · 2.1k total citations
214 papers, 1.6k citations indexed

About

Tsuyoshi INOUE is a scholar working on Control and Systems Engineering, Mechanical Engineering and Civil and Structural Engineering. According to data from OpenAlex, Tsuyoshi INOUE has authored 214 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 122 papers in Control and Systems Engineering, 117 papers in Mechanical Engineering and 49 papers in Civil and Structural Engineering. Recurrent topics in Tsuyoshi INOUE's work include Magnetic Bearings and Levitation Dynamics (93 papers), Tribology and Lubrication Engineering (64 papers) and Gear and Bearing Dynamics Analysis (30 papers). Tsuyoshi INOUE is often cited by papers focused on Magnetic Bearings and Levitation Dynamics (93 papers), Tribology and Lubrication Engineering (64 papers) and Gear and Bearing Dynamics Analysis (30 papers). Tsuyoshi INOUE collaborates with scholars based in Japan, United States and Germany. Tsuyoshi INOUE's co-authors include Yukio ISHIDA, Shunichi Hashimoto, Masaki Sumi, Kentaro Takagi, Hiroshi Yabuno, Yusuke Watanabe, Chisako Muramatsu, Yuji Hatanaka, Susumu Okumura and Hiroshi Fujita and has published in prestigious journals such as SHILAP Revista de lepidopterología, Monthly Notices of the Royal Astronomical Society and Journal of Chromatography A.

In The Last Decade

Tsuyoshi INOUE

193 papers receiving 1.5k citations

Author Peers

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

Author						Papers	Cites
Tsuyoshi INOUE	900	714	386	298	247	214	1.6k
Zhencai Zhu	941 1.0×	544 0.8×	208 0.5×	412 1.4×	157 0.6×	99	1.4k
Guoping Wang	378 0.4×	661 0.9×	400 1.0×	163 0.5×	214 0.9×	143	1.6k
Peng Zhou	600 0.7×	415 0.6×	514 1.3×	329 1.1×	413 1.7×	127	2.1k
Cristiana Delprete	1.1k 1.2×	319 0.4×	194 0.5×	305 1.0×	437 1.8×	167	1.7k
Morteza Dardel	500 0.6×	798 1.1×	805 2.1×	260 0.9×	203 0.8×	96	1.7k
Wei Chen	507 0.6×	433 0.6×	262 0.7×	305 1.0×	195 0.8×	93	1.4k
Xiaopeng Li	1.0k 1.2×	617 0.9×	327 0.8×	378 1.3×	80 0.3×	173	2.0k
Jin‐Gyun Kim	614 0.7×	294 0.4×	565 1.5×	237 0.8×	416 1.7×	137	1.8k
M. H. Korayem	423 0.5×	1.4k 1.9×	200 0.5×	196 0.7×	83 0.3×	154	2.1k
Hai Huang	264 0.3×	347 0.5×	710 1.8×	463 1.6×	91 0.4×	168	1.5k

Countries citing papers authored by Tsuyoshi INOUE

Since Specialization

Citations

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

Fields of papers citing papers by Tsuyoshi INOUE

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tsuyoshi INOUE

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