Makoto Iida

161 total papers · 1.4k total citations
69 papers, 993 citations indexed

About

Makoto Iida is a scholar working on Aerospace Engineering, Environmental Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Makoto Iida has authored 69 papers receiving a total of 993 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Aerospace Engineering, 20 papers in Environmental Engineering and 14 papers in Computer Vision and Pattern Recognition. Recurrent topics in Makoto Iida's work include Wind and Air Flow Studies (18 papers), Aerodynamics and Fluid Dynamics Research (12 papers) and Interactive and Immersive Displays (9 papers). Makoto Iida is often cited by papers focused on Wind and Air Flow Studies (18 papers), Aerodynamics and Fluid Dynamics Research (12 papers) and Interactive and Immersive Displays (9 papers). Makoto Iida collaborates with scholars based in Japan, United States and Australia. Makoto Iida's co-authors include Takeshi Naemura, M. S. Howe, Ryota Yoshihashi, Rei Kawakami, Shaodi You, Takashi Fukuda, Wen Shao, Tsuyoshi Maeda, Yasuaki Kakehi and Takeshi Ohguro and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Fluid Mechanics and Journal of Sound and Vibration.

In The Last Decade

Makoto Iida

58 papers receiving 945 citations

Hit Papers

Classification-Reconstruc... 2019 2026 2021 2023 2019 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Makoto Iida 410 263 256 215 213 69 993
Li Sun 409 1.0× 135 0.5× 465 1.8× 103 0.5× 93 0.4× 58 1.1k
Jérémie Papon 321 0.8× 266 1.0× 472 1.8× 150 0.7× 91 0.4× 23 965
Jörgen Ahlberg 251 0.6× 99 0.4× 723 2.8× 86 0.4× 125 0.6× 76 1.2k
Sungjoon Choi 300 0.7× 64 0.2× 487 1.9× 109 0.5× 170 0.8× 60 1.0k
Jianhui Zhao 182 0.4× 70 0.3× 564 2.2× 188 0.9× 135 0.6× 52 995
Michael Weinmann 142 0.3× 229 0.9× 424 1.7× 137 0.6× 33 0.2× 69 912
Jaeyong Sung 94 0.2× 83 0.3× 257 1.0× 175 0.8× 185 0.9× 54 842
A. Lynn Abbott 127 0.3× 110 0.4× 539 2.1× 58 0.3× 59 0.3× 85 1.0k
Pierre Payeur 261 0.6× 87 0.3× 430 1.7× 39 0.2× 81 0.4× 132 1.0k
R. Unnikrishnan 154 0.4× 100 0.4× 430 1.7× 52 0.2× 86 0.4× 41 809

Countries citing papers authored by Makoto Iida

Since Specialization
Citations

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

Fields of papers citing papers by Makoto Iida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Makoto Iida

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