Yutaka Sumino

2.1k citations
42 papers · 1.6k indexed · 1 hit paper · h-index 18
Topics
Micro and Nano Robotics (27 papers)Nonlinear Dynamics and Pattern Formation (12 papers)Pickering emulsions and particle stabilization (11 papers)
Partner nations
JapanFranceUnited States

In The Last Decade

Yutaka Sumino

39 papers receiving 1.6k citations

Hit Papers

Large-scale vortex lattice emerging from collectively mov...20122026201620212012100200300400

Peers

Yutaka Sumino
Comparison fields: 5 of 73
  • Condensed Matter Physics 1.1k
  • Biomedical Engineering 471
  • Mechanical Engineering 409
  • Materials Chemistry 370
  • Computer Networks and Communications 297
Replace Sumesh P. Thampi with:
Sumesh P. Thampi India
Hiroyuki Kitahata Japan
Jordi Ignés‐Mullol Spain
Ken Nagai Japan
Yves Couder France
Nobuyuki Magome Japan
Luca Giomi Netherlands
Nobuhiko J. Suematsu Japan
Alexey Snezhko United States
Andrey Sokolov United States
Yutaka Sumino relative to Sumesh P. Thampi India Sumesh P. Thampi's profile →
Citations per field
00.5×1.6×
Sumesh P. Thampi · 1×
Citations per year

Countries citing papers authored by Yutaka Sumino

Since Specialization
Citations

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

Fields of papers citing papers by Yutaka Sumino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yutaka Sumino

This figure shows the co-authorship network connecting the top 25 collaborators of Yutaka Sumino. A scholar is included among the top collaborators of Yutaka Sumino 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 Yutaka Sumino. Yutaka Sumino 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 0
2 1
3 1
4 4
5 4
6 0
7 8
8 24
9 86
10 7
11 21
12 6
13
Large-scale vortex lattice emerging from collectively moving microtubulesbreakdown →
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14 73
15 6
16 6
17 36
18 20
19 60
20 291

About Yutaka Sumino

Yutaka Sumino is a scholar working on Condensed Matter Physics, Computer Networks and Communications and Surfaces, Coatings and Films, having authored 42 papers that have together received 1.6k indexed citations. Recurring topics across this work include Micro and Nano Robotics (27 papers), Nonlinear Dynamics and Pattern Formation (12 papers) and Pickering emulsions and particle stabilization (11 papers). The work is most often cited by research in Condensed Matter Physics (1.1k citations), Surfaces, Coatings and Films (149 citations) and Statistical and Nonlinear Physics (209 citations). Yutaka Sumino has collaborated with scholars based in Japan, France and United States. Frequent co-authors include Kenichi Yoshikawa, Ken Nagai, Hiroyuki Kitahata, Hugues Chaté, Nobuyuki Magome, Tsutomu Hamada, Dan Tanaka, Kazuhiro Oiwa, Y. Shitaka and Natsuhiko Yoshinaga. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Physical Review Letters.

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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