Masaki Morimoto

About

Masaki Morimoto is a scholar working on Statistical and Nonlinear Physics, Aerospace Engineering and Computational Mechanics. According to data from OpenAlex, Masaki Morimoto has authored 6 papers receiving a total of 268 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Statistical and Nonlinear Physics, 3 papers in Aerospace Engineering and 3 papers in Computational Mechanics. Recurrent topics in Masaki Morimoto’s work include Model Reduction and Neural Networks (5 papers), Fluid Dynamics and Turbulent Flows (3 papers) and Nuclear Engineering Thermal-Hydraulics (2 papers). Masaki Morimoto is often cited by papers focused on Model Reduction and Neural Networks (5 papers), Fluid Dynamics and Turbulent Flows (3 papers) and Nuclear Engineering Thermal-Hydraulics (2 papers). Masaki Morimoto collaborates with scholars based in Japan, United States and Sweden. Masaki Morimoto's co-authors include Koji Fukagata, Kai Fukami, Kai Zhang, Aditya Nair, Taichi Nakamura, Kazuto Hasegawa, Romit Maulik and Ricardo Vinuesa and has published in prestigious journals such as Physics of Fluids, Physica D Nonlinear Phenomena and Neural Computing and Applications.

In The Last Decade

Co-authorship network of co-authors of Masaki Morimoto i

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Fields of papers citing papers by Masaki Morimoto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Masaki Morimoto. 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 Masaki Morimoto. The network helps show where Masaki Morimoto may publish in the future.

Countries citing papers authored by Masaki Morimoto

Since Specialization

Citations

This map shows the geographic impact of Masaki Morimoto'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 Masaki Morimoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masaki Morimoto more than expected).

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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