Kai Morino

451 total citations
18 papers, 338 citations indexed

About

Kai Morino is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Ophthalmology. According to data from OpenAlex, Kai Morino has authored 18 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Statistical and Nonlinear Physics, 4 papers in Computer Networks and Communications and 4 papers in Ophthalmology. Recurrent topics in Kai Morino's work include Retinal Imaging and Analysis (4 papers), Neural dynamics and brain function (4 papers) and Nonlinear Dynamics and Pattern Formation (4 papers). Kai Morino is often cited by papers focused on Retinal Imaging and Analysis (4 papers), Neural dynamics and brain function (4 papers) and Nonlinear Dynamics and Pattern Formation (4 papers). Kai Morino collaborates with scholars based in Japan, United States and Spain. Kai Morino's co-authors include Kazuyuki Aihara, Gouhei Tanaka, Hiroaki Daido, Yoshito Hirata, Kenji Yamanishi, Juan A. Almendral, Celestia S. Higano, Koichiro Akakura, Hiroshi Murata and Ryo Asaoka and has published in prestigious journals such as PLoS ONE, Scientific Reports and Physical review. E.

In The Last Decade

Kai Morino

18 papers receiving 336 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kai Morino Japan 8 200 171 121 40 24 18 338
Seth A. Marvel United States 5 388 1.9× 203 1.2× 62 0.5× 30 0.8× 8 0.3× 6 568
Malgorzata Turalska United States 10 164 0.8× 35 0.2× 70 0.6× 36 0.9× 69 2.9× 22 378
Stephen Baigent United Kingdom 11 53 0.3× 59 0.3× 31 0.3× 110 2.8× 37 1.5× 32 374
Byungjoon Min South Korea 12 481 2.4× 86 0.5× 56 0.5× 60 1.5× 19 0.8× 25 614
Simi Haber Israel 8 91 0.5× 49 0.3× 41 0.3× 50 1.3× 10 0.4× 20 427
Jianzhong Su China 7 96 0.5× 53 0.3× 57 0.5× 23 0.6× 4 0.2× 22 150
Ivan Bonamassa Israel 9 299 1.5× 162 0.9× 81 0.7× 60 1.5× 5 0.2× 18 442
Takaaki Aoki Japan 11 142 0.7× 168 1.0× 151 1.2× 36 0.9× 4 0.2× 43 411
Gino Del Ferraro United States 10 125 0.6× 25 0.1× 124 1.0× 44 1.1× 67 2.8× 14 326
Jennifer Foss United States 4 330 1.6× 309 1.8× 298 2.5× 35 0.9× 14 0.6× 5 552

Countries citing papers authored by Kai Morino

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Kai Morino

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Morino. A scholar is included among the top collaborators of Kai Morino 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 Kai Morino. Kai Morino is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Yamamoto, Naoji, et al.. (2024). Sequential Prediction of Hall Thruster Performance Using Echo State Network Models. TRANSACTIONS OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES. 67(1). 1–11. 2 indexed citations
2.
Morino, Kai, et al.. (2022). A Spiking Neural Network with Resistively Coupled Synapses Using Time-to-First-Spike Coding Towards Efficient Charge-Domain Computing. 2022 IEEE International Symposium on Circuits and Systems (ISCAS). 2152–2156. 1 indexed citations
3.
Hirata, Yoshito, Kai Morino, Koichiro Akakura, Celestia S. Higano, & Kazuyuki Aihara. (2018). Personalizing Androgen Suppression for Prostate Cancer Using Mathematical Modeling. Scientific Reports. 8(1). 2673–2673. 23 indexed citations
4.
Morino, Kai, Gouhei Tanaka, & Kazuyuki Aihara. (2018). Bifurcation mechanism for emergence of spontaneous oscillations in coupled heterogeneous excitable units. Physical review. E. 98(5). 3 indexed citations
5.
Morino, Kai, et al.. (2017). Multi-view Learning over Retinal Thickness and Visual Sensitivity on Glaucomatous Eyes. 2041–2050. 4 indexed citations
6.
Morino, Kai, et al.. (2016). Temporal Network Change Detection Using Network Centralities. 51–60. 1 indexed citations
8.
Hirata, Yoshito, Kai Morino, Taiji Suzuki, et al.. (2016). System identification and parameter estimation in mathematical medicine: examples demonstrated for prostate cancer. Quantitative Biology. 4(1). 13–19. 2 indexed citations
9.
Morino, Kai, et al.. (2015). Robustness of Oscillatory Behavior in Correlated Networks. PLoS ONE. 10(4). e0123722–e0123722. 25 indexed citations
10.
Hirata, Yoshito, Kai Morino, Koichiro Akakura, et al.. (2015). Intermittent Androgen Suppression: Estimating Parameters for Individual Patients Based on Initial PSA Data in Response to Androgen Deprivation Therapy. PLoS ONE. 10(6). e0130372–e0130372. 6 indexed citations
11.
Morino, Kai, Yoshito Hirata, Ryota Tomioka, et al.. (2015). Predicting disease progression from short biomarker series using expert advice algorithm. Scientific Reports. 5(1). 8953–8953. 12 indexed citations
12.
Morino, Kai, et al.. (2015). Discovery of Glaucoma Progressive Patterns Using Hierarchical MDL-Based Clustering. 1979–1988. 7 indexed citations
13.
Tanaka, Gouhei, Kai Morino, Hiroaki Daido, & Kazuyuki Aihara. (2014). Dynamical robustness of coupled heterogeneous oscillators. Physical Review E. 89(5). 52906–52906. 50 indexed citations
14.
Morino, Kai, et al.. (2014). Predicting glaucoma progression using multi-task learning with heterogeneous features. 17. 261–270. 5 indexed citations
15.
Morino, Kai, Gouhei Tanaka, & Kazuyuki Aihara. (2013). Efficient recovery of dynamic behavior in coupled oscillator networks. Physical Review E. 88(3). 32909–32909. 29 indexed citations
16.
Tanaka, Gouhei, Kai Morino, & Kazuyuki Aihara. (2012). Dynamical robustness in complex networks: the crucial role of low-degree nodes. Scientific Reports. 2(1). 232–232. 103 indexed citations
17.
Morino, Kai, Gouhei Tanaka, & Kazuyuki Aihara. (2011). Robustness of multilayer oscillator networks. Physical Review E. 83(5). 56208–56208. 54 indexed citations
18.
Takaguchi, Taro, et al.. (2008). New developments in large deviation statistics and time correlation calculations in chaotic dynamics and stochastic processes. IEICE Technical Report; IEICE Tech. Rep.. 107(560). 37–42. 6 indexed citations

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.

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