Sigeo Aki

58 papers and 769 indexed citations i.

About

Sigeo Aki is a scholar working on Artificial Intelligence, Statistics and Probability and Mathematical Physics. According to data from OpenAlex, Sigeo Aki has authored 58 papers receiving a total of 769 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Artificial Intelligence, 30 papers in Statistics and Probability and 15 papers in Mathematical Physics. Recurrent topics in Sigeo Aki’s work include Bayesian Methods and Mixture Models (31 papers), Statistical Distribution Estimation and Applications (19 papers) and Stochastic processes and statistical mechanics (14 papers). Sigeo Aki is often cited by papers focused on Bayesian Methods and Mixture Models (31 papers), Statistical Distribution Estimation and Applications (19 papers) and Stochastic processes and statistical mechanics (14 papers). Sigeo Aki collaborates with scholars based in Japan, Canada and Finland. Sigeo Aki's co-authors include Katuomi Hirano, Kiyoshi Inoue, Qing Han, S. G. Mohanty, N. Balakrishnan, Nobuhisa Kashiwagi, Masayuki Uchida, Kiyoshi Inoue and N. Balakrishnan and has published in prestigious journals such as Nonlinear Analysis, Journal of Multivariate Analysis and Journal of Applied Probability.

In The Last Decade

Co-authorship network of co-authors of Sigeo Aki i

Fields of papers citing papers by Sigeo Aki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sigeo Aki

Since Specialization
Citations

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