Joe Suzuki

40 papers and 389 indexed citations i.

About

Joe Suzuki is a scholar working on Artificial Intelligence, Statistics and Probability and Computational Theory and Mathematics. According to data from OpenAlex, Joe Suzuki has authored 40 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 11 papers in Statistics and Probability and 5 papers in Computational Theory and Mathematics. Recurrent topics in Joe Suzuki’s work include Bayesian Modeling and Causal Inference (20 papers), Machine Learning and Algorithms (9 papers) and Statistical Methods and Inference (8 papers). Joe Suzuki is often cited by papers focused on Bayesian Modeling and Causal Inference (20 papers), Machine Learning and Algorithms (9 papers) and Statistical Methods and Inference (8 papers). Joe Suzuki collaborates with scholars based in Japan, United States and Singapore. Joe Suzuki's co-authors include Maomi Ueno, Akihiro Yamamoto, Takashi Washio, Yoshinobu Kawahara, Shohei Shimizu, Kuang‐Yao Lee, Kun Zhang, Jun Kawahara and Yoshio Tanaka and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) and Proceedings of the American Mathematical Society.

In The Last Decade

Co-authorship network of co-authors of Joe Suzuki i

Fields of papers citing papers by Joe Suzuki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Joe Suzuki

Since Specialization
Citations

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