Makoto Iima

735 citations
52 papers · 525 indexed · h-index 13
Topics
Fluid Dynamics and Turbulent Flows (22 papers)Fluid Dynamics and Vibration Analysis (15 papers)Biomimetic flight and propulsion mechanisms (14 papers)
Partner nations
JapanGermanyEgypt

In The Last Decade

Makoto Iima

48 papers receiving 510 citations

Peers

Makoto Iima
Comparison fields: 5 of 59
  • Computational Mechanics 208
  • Biomedical Engineering 208
  • Aerospace Engineering 130
  • Ecology, Evolution, Behavior and Systematics 104
  • Plant Science 96
Replace Dmitry Kolomenskiy with:
Dmitry Kolomenskiy France
А. А. Полежаев Russia
Douglas R. Brumley Australia
Maya S deVries United States
Sookkyung Lim United States
Umberto Pesavento United States
Kyriacos C. Leptos United Kingdom
Peter John Rodrigo Denmark
Imraan Faruque United States
Thomas Engels Germany
Makoto Iima relative to Dmitry Kolomenskiy France Dmitry Kolomenskiy's profile →
Citations per field
00.5×12×
Dmitry Kolomenskiy · 1×
Citations per year

Countries citing papers authored by Makoto Iima

Since Specialization
Citations

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

Fields of papers citing papers by Makoto Iima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Makoto Iima

This figure shows the co-authorship network connecting the top 25 collaborators of Makoto Iima. A scholar is included among the top collaborators of Makoto Iima 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 Iima. Makoto Iima is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 5
2 1
3 2
4 3
5 7
6 14
7 1
8 2
9 7
10 17
11 1
12 1
13 1
14 8
15 11
16
Analysis of flapping flight of butterfly based on experiments and numerical simulations
1
17 11
18 9
19 7
20 131

About Makoto Iima

Makoto Iima is a scholar working on Computational Mechanics, Condensed Matter Physics and Aerospace Engineering, having authored 52 papers that have together received 525 indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (22 papers), Fluid Dynamics and Vibration Analysis (15 papers) and Biomimetic flight and propulsion mechanisms (14 papers). The work is most often cited by research in Computational Mechanics (208 citations), Condensed Matter Physics (87 citations) and Ecology, Evolution, Behavior and Systematics (104 citations). Makoto Iima has collaborated with scholars based in Japan, Germany and Egypt. Frequent co-authors include Yasumasa Nishiura, Toshiyuki Nakagaki, Yuji Tasaka, Kei Senda, Naoto Yokoyama, Kenneth Showalter, Atsushi Tero, Ryo Kobayashi, Tetsu Saigusa and Tetsuo Ueda. Their work appears in journals such as Physical Review Letters, PLoS ONE and Journal of Fluid Mechanics.

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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