Katuomi Hirano

30 papers and 407 indexed citations i.

About

Katuomi Hirano is a scholar working on Statistics and Probability, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Katuomi Hirano has authored 30 papers receiving a total of 407 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Statistics and Probability, 14 papers in Artificial Intelligence and 5 papers in Management Science and Operations Research. Recurrent topics in Katuomi Hirano’s work include Bayesian Methods and Mixture Models (12 papers), Statistical Distribution Estimation and Applications (12 papers) and Advanced Statistical Methods and Models (4 papers). Katuomi Hirano is often cited by papers focused on Bayesian Methods and Mixture Models (12 papers), Statistical Distribution Estimation and Applications (12 papers) and Advanced Statistical Methods and Models (4 papers). Katuomi Hirano collaborates with scholars based in Japan, China and India. Katuomi Hirano's co-authors include Sigeo Aki, Qing Han, Jyoti Singh, Nobuhisa Kashiwagi and Kiyoshi Inoue and has published in prestigious journals such as Nonlinear Analysis, Journal of Applied Probability and Journal of Statistical Planning and Inference.

In The Last Decade

Co-authorship network of co-authors of Katuomi Hirano i

Fields of papers citing papers by Katuomi Hirano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Katuomi Hirano

Since Specialization
Citations

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