Naoya Takeishi

22 papers and 268 indexed citations i.

About

Naoya Takeishi is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Aerospace Engineering. According to data from OpenAlex, Naoya Takeishi has authored 22 papers receiving a total of 268 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 6 papers in Statistical and Nonlinear Physics and 4 papers in Aerospace Engineering. Recurrent topics in Naoya Takeishi’s work include Model Reduction and Neural Networks (6 papers), Astro and Planetary Science (4 papers) and Anomaly Detection Techniques and Applications (4 papers). Naoya Takeishi is often cited by papers focused on Model Reduction and Neural Networks (6 papers), Astro and Planetary Science (4 papers) and Anomaly Detection Techniques and Applications (4 papers). Naoya Takeishi collaborates with scholars based in Japan, Switzerland and United States. Naoya Takeishi's co-authors include Yoshinobu Kawahara, Takehisa Yairi, Takehisa Yairi, Naoki Nishimura, Noboru Takata, Keisuke Fujii, Naoko Ogawa, Motoki Kouzaki, Yuichi Tsuda and Yuya Mimasu and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Neural Networks and Learning Systems and Neural Networks.

In The Last Decade

Co-authorship network of co-authors of Naoya Takeishi i

Fields of papers citing papers by Naoya Takeishi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Naoya Takeishi

Since Specialization
Citations

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