Ken Sekimoto
Impact in
- Statistical and Nonlinear Physics top 0.2%
- Advanced Thermodynamics and Statistical Mechanics
- stochastic dynamics and bifurcation
- Statistical Mechanics and Entropy
- Condensed Matter Physics top 1%
- Micro and Nano Robotics
Papers in
-
- Advanced Thermodynamics and Statistical Mechanics 19
- stochastic dynamics and bifurcation 9
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- Rheology and Fluid Dynamics Studies 11
- Co-authors
- Karsten KruseJacques ProstFrank JülicherKyozi KawasakiKatsuhisa TawadaJean‐François JoannyAntoine TrillerLudwik Leibler
In The Last Decade
Ken Sekimoto
94 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Statistical and Nonlinear Physics 1.8k
- Condensed Matter Physics 917
- Cell Biology 699
- Molecular Medicine 182
- Atomic and Molecular Physics, and Optics 830
Countries citing papers authored by Ken Sekimoto
This map shows the geographic impact of Ken Sekimoto'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 Ken Sekimoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ken Sekimoto more than expected).
Fields of papers citing papers by Ken Sekimoto
This network shows the impact of papers produced by Ken Sekimoto. 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 Ken Sekimoto. The network helps show where Ken Sekimoto may publish in the future.
Co-authors
The 25 scholars most cited alongside Ken Sekimoto, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2022 | 3 | |
| 4 | 2022 | 5 | |
| 5 | 2021 | 26 | |
| 6 | 2020 | 8 | |
| 7 | 2016 | 0 | |
| 8 | 2014 | 6 | |
| 9 | 2011 | 140 | |
| 10 | 2010 | 31 | |
| 11 | 2010 | 16 | |
| 12 | 2009 | 42 | |
| 13 | 2007 | 18 | |
| 14 | 2007 | 26 | |
| 15 | 2004 | 403 | |
| 16 | Internal Stress in Model Elasto-Plastic Fluids | 2004 | 1 |
| 17 | 2002 | 17 | |
| 18 | 2002 | 26 | |
| 19 | 1997 | 327 | |
| 20 | 1984 | 20 |
About Ken Sekimoto
Ken Sekimoto is a scholar working on Statistical and Nonlinear Physics, Fluid Flow and Transfer Processes, Condensed Matter Physics, Molecular Medicine and Cell Biology, having authored 97 papers that have together received 4.1k indexed citations. Recurring topics across this work include Advanced Thermodynamics and Statistical Mechanics (19 papers), Material Dynamics and Properties (13 papers), Theoretical and Computational Physics (13 papers), Rheology and Fluid Dynamics Studies (11 papers), stochastic dynamics and bifurcation (9 papers), Microtubule and mitosis dynamics (8 papers), Solidification and crystal growth phenomena (8 papers) and Cellular Mechanics and Interactions (7 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.8k citations), Condensed Matter Physics (917 citations), Cell Biology (699 citations), Molecular Medicine (182 citations) and Atomic and Molecular Physics, and Optics (830 citations). Ken Sekimoto has collaborated with scholars based in Japan, France and Spain. Frequent co-authors include Karsten Kruse, Jacques Prost, Frank Jülicher, Kyozi Kawasaki, Katsuhisa Tawada, Jean‐François Joanny, Jean‐François Joanny, Antoine Triller, Ludwik Leibler and Tsuyoshi Hondou. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, Journal of the Physical Society of Japan, Physical Review Letters, Physical review. E and Europhysics Letters (EPL).
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.