Takuya Inoue

74 total papers · 418 total citations
27 papers, 255 citations indexed

About

Takuya Inoue is a scholar working on Computational Mechanics, Oncology and Epidemiology. According to data from OpenAlex, Takuya Inoue has authored 27 papers receiving a total of 255 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computational Mechanics, 3 papers in Oncology and 3 papers in Epidemiology. Recurrent topics in Takuya Inoue's work include Fluid Dynamics and Heat Transfer (3 papers), Particle Dynamics in Fluid Flows (2 papers) and Combustion and flame dynamics (2 papers). Takuya Inoue is often cited by papers focused on Fluid Dynamics and Heat Transfer (3 papers), Particle Dynamics in Fluid Flows (2 papers) and Combustion and flame dynamics (2 papers). Takuya Inoue collaborates with scholars based in Japan and Netherlands. Takuya Inoue's co-authors include Yoshiki Inoue, Masahiro Ishikawa, Satoko Nakamura, Shunroku Baba, Teruo Omae, Hiroaki Matsuoka, Genjiro Kimura, Toru Sanai, Tetsuo Umegaki and Yoshiyuki Kojima and has published in prestigious journals such as AIAA Journal, Journal of Alloys and Compounds and American Journal of Kidney Diseases.

In The Last Decade

Takuya Inoue

22 papers receiving 247 citations

Author Peers

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

Author Last Decade Papers Cites
Takuya Inoue 89 73 56 49 38 27 255
Lennart Edsberg 22 0.2× 16 0.2× 32 0.6× 46 0.9× 17 0.4× 13 289
Francesca Nicolò 145 1.6× 127 1.7× 3 0.1× 16 0.3× 84 2.2× 27 316
A.M. Benis 7 0.1× 38 0.5× 124 2.2× 95 1.9× 124 3.3× 17 320
Pankaj Kumar 5 0.1× 79 1.1× 3 0.1× 50 1.0× 64 1.7× 18 257
Muthiah Subramanian 113 1.5× 90 1.6× 13 0.3× 37 1.0× 56 282
Yoichiro Tabata 74 0.8× 103 1.4× 1 0.0× 22 0.4× 20 0.5× 17 330
Salim E. Olia 3 0.0× 54 0.7× 4 0.1× 13 0.3× 54 1.4× 29 311
Julia Sastre 16 0.2× 3 0.0× 54 1.0× 33 0.7× 2 0.1× 42 276
Nicolas Aristokleous 3 0.0× 62 0.8× 6 0.1× 12 0.2× 74 1.9× 16 168
Mao-Jen Lin 8 0.1× 108 1.5× 4 0.1× 5 0.1× 22 0.6× 32 266

Countries citing papers authored by Takuya Inoue

Since Specialization
Citations

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

Fields of papers citing papers by Takuya Inoue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takuya Inoue

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