Sumio Watanabe

64 papers and 1.1k indexed citations i.

About

Sumio Watanabe is a scholar working on Artificial Intelligence, Statistics and Probability and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sumio Watanabe has authored 64 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Artificial Intelligence, 14 papers in Statistics and Probability and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sumio Watanabe’s work include Bayesian Methods and Mixture Models (24 papers), Neural Networks and Applications (23 papers) and Machine Learning and Algorithms (12 papers). Sumio Watanabe is often cited by papers focused on Bayesian Methods and Mixture Models (24 papers), Neural Networks and Applications (23 papers) and Machine Learning and Algorithms (12 papers). Sumio Watanabe collaborates with scholars based in Japan, United States and France. Sumio Watanabe's co-authors include Keisuke Yamazaki, Kenji Nagata, Kazuho Watanabe, Kenji Fukumizu, Mitsutoshi Yoneyama, Shinichi Nakajima, Шун-ичи Амари, Shigehiro Kokubu, Hironao Okubo and Akihisa Miyazaki and has published in prestigious journals such as Neural Computation, Neurocomputing and Neural Networks.

In The Last Decade

Co-authorship network of co-authors of Sumio Watanabe i

Fields of papers citing papers by Sumio Watanabe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sumio Watanabe

Since Specialization
Citations

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