Kenji Kudo

122 total papers · 3.3k total citations
90 papers, 2.8k citations indexed

About

Kenji Kudo is a scholar working on Computational Mechanics, Aerospace Engineering and Applied Mathematics. According to data from OpenAlex, Kenji Kudo has authored 90 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Computational Mechanics, 61 papers in Aerospace Engineering and 27 papers in Applied Mathematics. Recurrent topics in Kenji Kudo's work include Computational Fluid Dynamics and Aerodynamics (61 papers), Rocket and propulsion systems research (37 papers) and Gas Dynamics and Kinetic Theory (27 papers). Kenji Kudo is often cited by papers focused on Computational Fluid Dynamics and Aerodynamics (61 papers), Rocket and propulsion systems research (37 papers) and Gas Dynamics and Kinetic Theory (27 papers). Kenji Kudo collaborates with scholars based in Japan, Switzerland and Netherlands. Kenji Kudo's co-authors include Yu Morimoto, Ryosuke Jinnouchi, Takeshi Kanda, Atsuo Murakami, Shigenori Mitsushima, Kikuko Hayamizu, Akihiro Noda, Md. Abu Bin Hasan Susan, Masayoshi Watanabe and Takahisa Suzuki and has published in prestigious journals such as Nature Communications, The Journal of Physical Chemistry B and Journal of Power Sources.

In The Last Decade

Kenji Kudo

87 papers receiving 2.7k citations

Hit Papers

Brønsted Acid−Base Ionic ... 2003 2026 2010 2018 2003 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Kenji Kudo 1.5k 1.2k 790 702 502 90 2.8k
Xinghua Chang 1.3k 0.9× 521 0.5× 204 0.3× 216 0.3× 240 0.5× 86 2.1k
Jeongmin Ahn 600 0.4× 358 0.3× 553 0.7× 247 0.4× 491 1.0× 82 2.5k
Hua Meng 1.7k 1.1× 1.4k 1.2× 1.9k 2.4× 713 1.0× 53 0.1× 88 4.1k
Bruce J. Tatarchuk 1.2k 0.8× 632 0.5× 197 0.2× 107 0.2× 465 0.9× 162 3.6k
Baoguo Wang 3.2k 2.1× 1.9k 1.6× 158 0.2× 78 0.1× 248 0.5× 171 5.0k
Masateru Nishioka 335 0.2× 110 0.1× 626 0.8× 314 0.4× 334 0.7× 105 2.0k
Le Shi 2.1k 1.4× 747 0.6× 408 0.5× 39 0.1× 66 0.1× 89 3.0k
Junichiro Otomo 488 0.3× 430 0.4× 357 0.5× 149 0.2× 440 0.9× 101 2.1k
Liang Lv 966 0.6× 359 0.3× 292 0.4× 296 0.4× 52 0.1× 95 2.4k
Akihiro Nakano 1.5k 1.0× 639 0.6× 136 0.2× 132 0.2× 144 0.3× 86 2.2k

Countries citing papers authored by Kenji Kudo

Since Specialization
Citations

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

Fields of papers citing papers by Kenji Kudo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kenji Kudo

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