Kanta Naito

46 papers and 255 indexed citations i.

About

Kanta Naito is a scholar working on Statistics and Probability, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Kanta Naito has authored 46 papers receiving a total of 255 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Statistics and Probability, 8 papers in Artificial Intelligence and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Kanta Naito’s work include Statistical Methods and Inference (25 papers), Advanced Statistical Methods and Models (20 papers) and Bayesian Methods and Mixture Models (8 papers). Kanta Naito is often cited by papers focused on Statistical Methods and Inference (25 papers), Advanced Statistical Methods and Models (20 papers) and Bayesian Methods and Mixture Models (8 papers). Kanta Naito collaborates with scholars based in Japan, Australia and Hong Kong. Kanta Naito's co-authors include Yasunori Fujikoshi, Lixing Zhu, Inge Koch, H. Inaba, Hiroki Otani, Jun Udagawa, T Nagao, S Harigaya, Yuki Saito and Hidemitsu Nakajima and has published in prestigious journals such as Statistics in Medicine, The Annals of Statistics and Machine Learning.

In The Last Decade

Co-authorship network of co-authors of Kanta Naito i

Fields of papers citing papers by Kanta Naito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kanta Naito

Since Specialization
Citations

This map shows the geographic impact of Kanta Naito'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 Kanta Naito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kanta Naito 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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2026