Masashi Sugiyama

331 papers and 7.1k indexed citations i.

About

Masashi Sugiyama is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Masashi Sugiyama has authored 331 papers receiving a total of 7.1k indexed citations (citations by other indexed papers that have themselves been cited), including 211 papers in Artificial Intelligence, 98 papers in Computer Vision and Pattern Recognition and 58 papers in Signal Processing. Recurrent topics in Masashi Sugiyama’s work include Face and Expression Recognition (58 papers), Machine Learning and Data Classification (50 papers) and Machine Learning and Algorithms (47 papers). Masashi Sugiyama is often cited by papers focused on Face and Expression Recognition (58 papers), Machine Learning and Data Classification (50 papers) and Machine Learning and Algorithms (47 papers). Masashi Sugiyama collaborates with scholars based in Japan, United States and China. Masashi Sugiyama's co-authors include Gang Niu, Taiji Suzuki, Takafumi Kanamori, Makoto Yamada, Shinichi Nakajima, Klaus‐Robert Müller, Matthias Krauledat, Marthinus Christoffel du Plessis, Hirotaka Hachiya and Bo Han and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Statistical Association.

In The Last Decade

Co-authorship network of co-authors of Masashi Sugiyama i

Fields of papers citing papers by Masashi Sugiyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Masashi Sugiyama

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025