Hideyuki Tanno

191 total papers · 1.4k total citations
111 papers, 1.0k citations indexed

About

Hideyuki Tanno is a scholar working on Applied Mathematics, Computational Mechanics and Aerospace Engineering. According to data from OpenAlex, Hideyuki Tanno has authored 111 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Applied Mathematics, 70 papers in Computational Mechanics and 67 papers in Aerospace Engineering. Recurrent topics in Hideyuki Tanno's work include Gas Dynamics and Kinetic Theory (83 papers), Computational Fluid Dynamics and Aerodynamics (57 papers) and Plasma and Flow Control in Aerodynamics (34 papers). Hideyuki Tanno is often cited by papers focused on Gas Dynamics and Kinetic Theory (83 papers), Computational Fluid Dynamics and Aerodynamics (57 papers) and Plasma and Flow Control in Aerodynamics (34 papers). Hideyuki Tanno collaborates with scholars based in Japan, United States and Germany. Hideyuki Tanno's co-authors include Tomoyuki Komuro, Katsuhiro Itoh, Kazuo Sato, K. Takayama, Tsutomu Saito, K. Sato, Mingyu Sun, Satoshi Ueda, Masahiro Takahashi and Alexander Wagner and has published in prestigious journals such as AIAA Journal, Physics of Fluids and Review of Scientific Instruments.

In The Last Decade

Hideyuki Tanno

101 papers receiving 987 citations

Author Peers

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

Author Last Decade Papers Cites
Hideyuki Tanno 735 558 546 194 89 111 1.0k
Eric C. Marineau 970 1.3× 430 0.8× 447 0.8× 197 1.0× 43 0.5× 64 1.2k
Nick J. Parziale 865 1.2× 274 0.5× 387 0.7× 232 1.2× 69 0.8× 70 1.1k
H. T. Nagamatsu 749 1.0× 428 0.8× 666 1.2× 101 0.5× 31 0.3× 138 1.1k
Tomoyuki Komuro 891 1.2× 504 0.9× 797 1.5× 55 0.3× 70 0.8× 79 1.1k
George Rudinger 616 0.8× 244 0.4× 381 0.7× 280 1.4× 107 1.2× 44 984
Quanhua Sun 652 0.9× 742 1.3× 305 0.6× 122 0.6× 53 0.6× 85 1.1k
Brett F. Bathel 735 1.0× 339 0.6× 375 0.7× 129 0.7× 24 0.3× 92 974
Joseph S. Jewell 1.1k 1.5× 457 0.8× 473 0.9× 149 0.8× 22 0.2× 114 1.2k
Matthew P. Borg 1.0k 1.4× 473 0.8× 449 0.8× 136 0.7× 26 0.3× 82 1.1k
John D. Schmisseur 977 1.3× 335 0.6× 532 1.0× 108 0.6× 29 0.3× 87 1.1k

Countries citing papers authored by Hideyuki Tanno

Since Specialization
Citations

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

Fields of papers citing papers by Hideyuki Tanno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hideyuki Tanno

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