Kai Morino
Impact in
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- stochastic dynamics and bifurcation
- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
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- Nonlinear Dynamics and Pattern Formation
- Neural Networks Stability and Synchronization
Papers in
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- Complex Network Analysis Techniques 3
- stochastic dynamics and bifurcation 3
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- Nonlinear Dynamics and Pattern Formation 4
- Co-authors
- Kazuyuki Aihara (11 shared papers)Gouhei Tanaka (7 shared papers)Hiroaki Daido (1 shared paper)Kenji Yamanishi (6 shared papers)Yoshito Hirata (4 shared papers)Juan A. Almendral (1 shared paper)Koichiro Akakura (2 shared papers)Celestia S. Higano (2 shared papers)
- Journals
- Scientific Reports (3 papers)PLoS ONE (2 papers)Quantitative Biology (1 paper)Physical review. E (1 paper)TRANSACTIONS OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES (1 paper)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Kai Morino
18 papers receiving 342 citations
Peers
Comparison fields: 5 of 62
- Statistical and Nonlinear Physics 200
- Computer Networks and Communications 173
- Cognitive Neuroscience 121
- Modeling and Simulation 21
- Ophthalmology 19
Countries citing papers authored by Kai Morino
This map shows the geographic impact of Kai Morino'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 Kai Morino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Morino more than expected).
Fields of papers citing papers by Kai Morino
This network shows the impact of papers produced by Kai Morino. 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 Kai Morino. The network helps show where Kai Morino may publish in the future.
Co-authors
The 23 scholars most cited alongside Kai Morino, 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 | 2012 | 104 | |
| 2 | 2011 | 55 | |
| 3 | 2014 | 50 | |
| 4 | 2013 | 29 | |
| 5 | 2015 | 25 | |
| 6 | 2018 | 23 | |
| 7 | 2015 | 13 | |
| 8 | 2015 | 7 | |
| 9 | New developments in large deviation statistics and time correlation calculations in chaotic dynamics and stochastic processes | 2008 | 6 |
| 10 | 2015 | 6 | |
| 11 | 2014 | 5 | |
| 12 | 2016 | 5 | |
| 13 | 2017 | 4 | |
| 14 | 2018 | 3 | |
| 15 | 2022 | 3 | |
| 16 | 2016 | 2 | |
| 17 | 2024 | 2 | |
| 18 | 2016 | 1 |
About Kai Morino
Kai Morino is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Ophthalmology, Cognitive Neuroscience and Radiology, Nuclear Medicine and Imaging, having authored 18 papers that have together received 343 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (4 papers), Retinal Imaging and Analysis (4 papers), Neural dynamics and brain function (4 papers), Glaucoma and retinal disorders (4 papers), Mathematical Biology Tumor Growth (3 papers), Statistical Methods in Clinical Trials (3 papers), Complex Network Analysis Techniques (3 papers) and stochastic dynamics and bifurcation (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (200 citations), Computer Networks and Communications (173 citations), Cognitive Neuroscience (121 citations), Modeling and Simulation (21 citations) and Ophthalmology (19 citations). Kai Morino has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Kazuyuki Aihara, Gouhei Tanaka, Hiroaki Daido, Kenji Yamanishi, Yoshito Hirata, Juan A. Almendral, Koichiro Akakura, Celestia S. Higano, Ryo Asaoka and Hiroshi Murata. Their work appears in journals such as Scientific Reports, PLoS ONE, Quantitative Biology, Physical review. E and TRANSACTIONS OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES.
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.