Naoko Arimitsu
- Statistical and Nonlinear Physics top 2%
- Economics and Econometrics top 5%
- Computational Mechanics top 10%
- Global and Planetary Change
- Atomic and Molecular Physics, and Optics
- Co-authors
- Toshihico ArimitsuB. V. ParanjapeEdward S. KrebesTakao TsuboiYukio MizunoJ.‐M. HartmannYukio KobayashiHideaki Mouri
- Topics
- Statistical Mechanics and Entropy (14 papers)Complex Systems and Time Series Analysis (12 papers)Hydrology and Drought Analysis (6 papers)
In The Last Decade
Naoko Arimitsu
21 papers receiving 354 citations
Peers
Comparison fields: 5 of 44
- Statistical and Nonlinear Physics 243
- Economics and Econometrics 166
- Computational Mechanics 78
- Global and Planetary Change 70
- Atomic and Molecular Physics, and Optics 32
Countries citing papers authored by Naoko Arimitsu
This map shows the geographic impact of Naoko Arimitsu'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 Naoko Arimitsu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naoko Arimitsu more than expected).
Fields of papers citing papers by Naoko Arimitsu
This network shows the impact of papers produced by Naoko Arimitsu. 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 Naoko Arimitsu. The network helps show where Naoko Arimitsu may publish in the future.
Co-authorship network of co-authors of Naoko Arimitsu
This figure shows the co-authorship network connecting the top 25 collaborators of Naoko Arimitsu. A scholar is included among the top collaborators of Naoko Arimitsu 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 Naoko Arimitsu. Naoko Arimitsu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Analyses of turbulence in a wind tunnel by a multifractal theory for probability density functions | 3 |
| 2 | 2 | |
| 3 | 24 | |
| 4 | 4 | |
| 5 | 6 | |
| 6 | 3 | |
| 7 | 13 | |
| 8 | Multifractal Analysis of Turbulence by Statistics based on Non-Extensive Tsallis' or Extensive Renyi's Entropy (Complex Systems and Theory of Dynamical Systems) | 0 |
| 9 | 18 | |
| 10 | Multifractal analysis of turbulence by using statistics based on non-extensive tsallis' or extensive Rényi's entropy | 7 |
| 11 | 36 | |
| 12 | 15 | |
| 13 | 85 | |
| 14 | 73 | |
| 15 | 2 | |
| 16 | 6 | |
| 17 | 4 | |
| 18 | 21 | |
| 19 | 7 | |
| 20 | 3 |
About Naoko Arimitsu
Naoko Arimitsu is a scholar working on Statistical and Nonlinear Physics, Economics and Econometrics and Finance, having authored 22 papers that have together received 363 indexed citations. Recurring topics across this work include Statistical Mechanics and Entropy (14 papers), Complex Systems and Time Series Analysis (12 papers) and Hydrology and Drought Analysis (6 papers). The work is most often cited by research in Statistical and Nonlinear Physics (243 citations), Economics and Econometrics (166 citations) and Modeling and Simulation (18 citations). Naoko Arimitsu has collaborated with scholars based in Japan, Canada and Czechia. Frequent co-authors include Toshihico Arimitsu, B. V. Paranjape, Edward S. Krebes, Takao Tsuboi, Yukio Mizuno, J.‐M. Hartmann, Yukio Kobayashi, Hideaki Mouri and N. H. March. Their work appears in journals such as Journal of Applied Physics, Journal of Physics Condensed Matter and Japanese Journal of Applied Physics.
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.