Ryo Karakida

18 papers and 139 indexed citations i.

About

Ryo Karakida is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ryo Karakida has authored 18 papers receiving a total of 139 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 7 papers in Statistical and Nonlinear Physics and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ryo Karakida’s work include Neural Networks and Applications (9 papers), Gaussian Processes and Bayesian Inference (5 papers) and Blind Source Separation Techniques (4 papers). Ryo Karakida is often cited by papers focused on Neural Networks and Applications (9 papers), Gaussian Processes and Bayesian Inference (5 papers) and Blind Source Separation Techniques (4 papers). Ryo Karakida collaborates with scholars based in Japan and France. Ryo Karakida's co-authors include Шун-ичи Амари, Masafumi Oizumi, Masato Okada, Masato Okada, Shotaro Akaho, Hideki Asoh, Tomoko Ozeki, Marco Cuturi, Kazuki Osawa and Kotaro Sakamoto and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and Journal of the Physical Society of Japan.

In The Last Decade

Co-authorship network of co-authors of Ryo Karakida i

Fields of papers citing papers by Ryo Karakida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ryo Karakida

Since Specialization
Citations

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