Tadashi Tsubone
- Statistical and Nonlinear Physics top 5%
- Computer Networks and Communications top 10%
- Cognitive Neuroscience
- Artificial Intelligence
- Atomic and Molecular Physics, and Optics
- Co-authors
- Toshimichi SaitoNaohiko InabaYasuhiro WadaMunehisa SekikawaTakuji KousakaTetsuya YoshinagaTakanori SatoTakumi Hasegawa
- Topics
- Nonlinear Dynamics and Pattern Formation (30 papers)Chaos control and synchronization (24 papers)stochastic dynamics and bifurcation (15 papers)
In The Last Decade
Tadashi Tsubone
49 papers receiving 287 citations
Peers
Comparison fields: 5 of 45
- Statistical and Nonlinear Physics 193
- Computer Networks and Communications 156
- Cognitive Neuroscience 68
- Artificial Intelligence 43
- Atomic and Molecular Physics, and Optics 32
Countries citing papers authored by Tadashi Tsubone
This map shows the geographic impact of Tadashi Tsubone'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 Tadashi Tsubone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tadashi Tsubone more than expected).
Fields of papers citing papers by Tadashi Tsubone
This network shows the impact of papers produced by Tadashi Tsubone. 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 Tadashi Tsubone. The network helps show where Tadashi Tsubone may publish in the future.
Co-authorship network of co-authors of Tadashi Tsubone
This figure shows the co-authorship network connecting the top 25 collaborators of Tadashi Tsubone. A scholar is included among the top collaborators of Tadashi Tsubone 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 Tadashi Tsubone. Tadashi Tsubone is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 28 | |
| 6 | Transient phenomena of the noise-induced synchronization of simple integrate-and-fire oscillators | 1 |
| 7 | Stabilization control of unknown unstable periodic orbits utilizing OPF method | 0 |
| 8 | An Autonomous Chaotic System on Cylinder | 1 |
| 9 | Synchronization Phenomena from an Extremely Simplified Piecewise-Constant Driven Oscillator} | 3 |
| 10 | 6 | |
| 11 | 7 | |
| 12 | 1 | |
| 13 | 13 | |
| 14 | 4 | |
| 15 | 4 | |
| 16 | 2 | |
| 17 | 1 | |
| 18 | 2 | |
| 19 | Manifold Piecewise Constant Systems and Chaos | 21 |
| 20 | 30 |
About Tadashi Tsubone
Tadashi Tsubone is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Cognitive Neuroscience, having authored 55 papers that have together received 297 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (30 papers), Chaos control and synchronization (24 papers) and stochastic dynamics and bifurcation (15 papers). The work is most often cited by research in Statistical and Nonlinear Physics (193 citations), Computer Networks and Communications (156 citations) and Cognitive Neuroscience (68 citations). Tadashi Tsubone has collaborated with scholars based in Japan and Germany. Frequent co-authors include Toshimichi Saito, Naohiko Inaba, Yasuhiro Wada, Munehisa Sekikawa, Takuji Kousaka, Tetsuya Yoshinaga, Takanori Sato, Takumi Hasegawa, Wolfgang Schwarz and Takashi Tsubouchi. Their work appears in journals such as Physics Letters A, Physica D Nonlinear Phenomena and Neuroscience Research.
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.