Ryoko Nakano

48 papers and 497 indexed citations i.

About

Ryoko Nakano is a scholar working on Artificial Intelligence, Sociology and Political Science and Polymers and Plastics. According to data from OpenAlex, Ryoko Nakano has authored 48 papers receiving a total of 497 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 10 papers in Sociology and Political Science and 10 papers in Polymers and Plastics. Recurrent topics in Ryoko Nakano’s work include Polymer crystallization and properties (8 papers), Neural Networks and Applications (7 papers) and Japanese History and Culture (5 papers). Ryoko Nakano is often cited by papers focused on Polymer crystallization and properties (8 papers), Neural Networks and Applications (7 papers) and Japanese History and Culture (5 papers). Ryoko Nakano collaborates with scholars based in Japan, Australia and United Kingdom. Ryoko Nakano's co-authors include N. Ueda, Jochen Prantl, Kengo Ito, Yujie Zhu, Masahiro Kimura, Shigeru Yao, Hiroshi Sekiguchi, Takeshi Yamada, Kenichi Arai and Kazumi Saito and has published in prestigious journals such as Chemical Engineering Journal, Applied Energy and Neural Networks.

In The Last Decade

Co-authorship network of co-authors of Ryoko Nakano i

Fields of papers citing papers by Ryoko Nakano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ryoko Nakano

Since Specialization
Citations

This map shows the geographic impact of Ryoko Nakano'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 Ryoko Nakano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryoko Nakano 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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2025