Tomoya Sakai

29 papers and 157 indexed citations i.

About

Tomoya Sakai is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Tomoya Sakai has authored 29 papers receiving a total of 157 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 5 papers in Signal Processing. Recurrent topics in Tomoya Sakai’s work include Image Retrieval and Classification Techniques (5 papers), Machine Learning and Data Classification (4 papers) and Neural Networks and Applications (3 papers). Tomoya Sakai is often cited by papers focused on Image Retrieval and Classification Techniques (5 papers), Machine Learning and Data Classification (4 papers) and Neural Networks and Applications (3 papers). Tomoya Sakai collaborates with scholars based in Japan. Tomoya Sakai's co-authors include Masashi Sugiyama, Gang Niu, Atsushi Imiya, Yao Ma, Marthinus Christoffel du Plessis, Nobuyuki Shimizu, Hayato Itoh, Issei Sato, Noriho Sakamoto and Yusuke Kameda and has published in prestigious journals such as Neural Computation, Neural Networks and Machine Learning.

In The Last Decade

Co-authorship network of co-authors of Tomoya Sakai i

Fields of papers citing papers by Tomoya Sakai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tomoya Sakai

Since Specialization
Citations

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