Seiji Nabeya

24 papers and 384 indexed citations i.

About

Seiji Nabeya is a scholar working on Statistics and Probability, Finance and Artificial Intelligence. According to data from OpenAlex, Seiji Nabeya has authored 24 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Statistics and Probability, 10 papers in Finance and 5 papers in Artificial Intelligence. Recurrent topics in Seiji Nabeya’s work include Financial Risk and Volatility Modeling (10 papers), Statistical Methods and Inference (7 papers) and Bayesian Methods and Mixture Models (5 papers). Seiji Nabeya is often cited by papers focused on Financial Risk and Volatility Modeling (10 papers), Statistical Methods and Inference (7 papers) and Bayesian Methods and Mixture Models (5 papers). Seiji Nabeya collaborates with scholars based in Japan, United States and Canada. Seiji Nabeya's co-authors include Katsuto Tanaka, Pierre Perrón, Bent E. Sørensen, Kjell A. Doksum, Takeaki Kariya, Kazumasa Wakimoto and Eiji Yamamoto and has published in prestigious journals such as Econometrica, Journal of Econometrics and Biometrika.

In The Last Decade

Co-authorship network of co-authors of Seiji Nabeya i

Fields of papers citing papers by Seiji Nabeya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Seiji Nabeya

Since Specialization
Citations

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