Sho Sonoda

About

Sho Sonoda is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sho Sonoda has authored 7 papers receiving a total of 185 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 2 papers in Cognitive Neuroscience and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sho Sonoda’s work include Neural Networks and Applications (2 papers), Image and Signal Denoising Methods (2 papers) and Inverse Problems in Mathematical Physics and Imaging (1 paper). Sho Sonoda is often cited by papers focused on Neural Networks and Applications (2 papers), Image and Signal Denoising Methods (2 papers) and Inverse Problems in Mathematical Physics and Imaging (1 paper). Sho Sonoda collaborates with scholars based in Japan. Sho Sonoda's co-authors include Noboru Murata, Hideitsu Hino, Manabu Kano, Keita Nakamura, Shotaro Akaho, Masahiro Kawasaki, Шун-ичи Амари, Ryo Karakida and Kotaro Sakamoto and has published in prestigious journals such as Neural Networks, Journal of Machine Learning Research and ISIJ International.

In The Last Decade

Co-authorship network of co-authors of Sho Sonoda i

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Fields of papers citing papers by Sho Sonoda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sho Sonoda

Since Specialization

Citations

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