Kazuyoshi Yata

35 papers and 442 indexed citations i.

About

Kazuyoshi Yata is a scholar working on Statistics and Probability, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Kazuyoshi Yata has authored 35 papers receiving a total of 442 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Statistics and Probability, 15 papers in Molecular Biology and 15 papers in Artificial Intelligence. Recurrent topics in Kazuyoshi Yata’s work include Statistical Methods and Inference (21 papers), Gene expression and cancer classification (15 papers) and Random Matrices and Applications (13 papers). Kazuyoshi Yata is often cited by papers focused on Statistical Methods and Inference (21 papers), Gene expression and cancer classification (15 papers) and Random Matrices and Applications (13 papers). Kazuyoshi Yata collaborates with scholars based in Japan, United States and Czechia. Kazuyoshi Yata's co-authors include Makoto Aoshima, Haipeng Shen, J. S. Marron, Dan Shen, Yi‐Hui Zhou, Dan Shen, Yi-Hui Zhou, Kouichiro Nakanishi, Kotaro Kohno and Nitis Mukhopadhyay and has published in prestigious journals such as The Astrophysical Journal Supplement Series, Journal of Multivariate Analysis and Journal of Statistical Planning and Inference.

In The Last Decade

Co-authorship network of co-authors of Kazuyoshi Yata i

Fields of papers citing papers by Kazuyoshi Yata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kazuyoshi Yata

Since Specialization
Citations

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