Seiichi Sudo
Impact in
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- Thermodynamic properties of mixtures
- Catalysis top 10%
- Ionic liquids properties and applications
Papers in
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- Characterization and Applications of Magnetic Nanoparticles 46
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- Electrohydrodynamics and Fluid Dynamics 24
- Co-authors
- Shin Yagihara (23 shared papers)Naoki Shinyashiki (17 shared papers)Hiroyuki Hashimoto (25 shared papers)Kenju Otsuka (16 shared papers)Junji Tani (9 shared papers)T. Honda (3 shared papers)Hideya Nishiyama (21 shared papers)Takayuki Ohtomo (6 shared papers)
In The Last Decade
Seiichi Sudo
134 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 97
- Fluid Flow and Transfer Processes 384
- Catalysis 147
- Filtration and Separation 32
- Atomic and Molecular Physics, and Optics 350
- Computational Mechanics 217
Countries citing papers authored by Seiichi Sudo
This map shows the geographic impact of Seiichi Sudo'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 Seiichi Sudo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seiichi Sudo more than expected).
Fields of papers citing papers by Seiichi Sudo
This network shows the impact of papers produced by Seiichi Sudo. 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 Seiichi Sudo. The network helps show where Seiichi Sudo may publish in the future.
Co-authors
The 25 scholars most cited alongside Seiichi Sudo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 149 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 95 | |
| 2 | 1998 | 77 | |
| 3 | 2002 | 71 | |
| 4 | 2006 | 70 | |
| 5 | 2007 | 65 | |
| 6 | 2004 | 53 | |
| 7 | 2006 | 48 | |
| 8 | 2001 | 42 | |
| 9 | 2007 | 39 | |
| 10 | 2002 | 39 | |
| 11 | 2007 | 38 | |
| 12 | 2006 | 37 | |
| 13 | 2013 | 35 | |
| 14 | 1999 | 31 | |
| 15 | 2000 | 30 | |
| 16 | 2002 | 30 | |
| 17 | 2011 | 30 | |
| 18 | 2009 | 29 | |
| 19 | 2009 | 29 | |
| 20 | 2007 | 29 |
About Seiichi Sudo
Seiichi Sudo is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering, Molecular Biology, Computational Mechanics and Aerospace Engineering, having authored 149 papers that have together received 1.7k indexed citations. Recurring topics across this work include Characterization and Applications of Magnetic Nanoparticles (46 papers), Geomagnetism and Paleomagnetism Studies (33 papers), Electrohydrodynamics and Fluid Dynamics (24 papers), Biomimetic flight and propulsion mechanisms (21 papers), Fluid Dynamics and Heat Transfer (17 papers), Magnetic and Electromagnetic Effects (17 papers), Material Dynamics and Properties (16 papers) and Fluid Dynamics Simulations and Interactions (15 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (384 citations), Catalysis (147 citations), Filtration and Separation (32 citations), Atomic and Molecular Physics, and Optics (350 citations) and Computational Mechanics (217 citations). Seiichi Sudo has collaborated with scholars based in Japan, India and Taiwan. Frequent co-authors include Shin Yagihara, Naoki Shinyashiki, Hiroyuki Hashimoto, Kenju Otsuka, Junji Tani, T. Honda, Hideya Nishiyama, Takayuki Ohtomo, Wataru Abe and A.C. Kumbharkhane. Their work appears in journals such as Journal of Magnetism and Magnetic Materials, Journal of Intelligent Material Systems and Structures, The Journal of Physical Chemistry A, Journal of Non-Crystalline Solids and The Journal of Physical Chemistry B.
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.