Saku Sugawara

17 papers and 181 indexed citations i.

About

Saku Sugawara is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Sociology and Political Science. According to data from OpenAlex, Saku Sugawara has authored 17 papers receiving a total of 181 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 1 paper in Sociology and Political Science. Recurrent topics in Saku Sugawara’s work include Topic Modeling (16 papers), Natural Language Processing Techniques (14 papers) and Multimodal Machine Learning Applications (8 papers). Saku Sugawara is often cited by papers focused on Topic Modeling (16 papers), Natural Language Processing Techniques (14 papers) and Multimodal Machine Learning Applications (8 papers). Saku Sugawara collaborates with scholars based in Japan, United States and United Kingdom. Saku Sugawara's co-authors include Akiko Aizawa, Kentaro Inui, Satoshi Sekine, Pontus Stenetorp, Alex Warstadt, Nikita Nangia, Harsh Trivedi, Samuel R. Bowman, Clara Vania and Samuel Bowman and has published in prestigious journals such as Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), UCL Discovery (University College London) and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Saku Sugawara i

Fields of papers citing papers by Saku Sugawara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Saku Sugawara

Since Specialization
Citations

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