Komei Sugiura

67 papers and 838 indexed citations i.

About

Komei Sugiura is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Komei Sugiura has authored 67 papers receiving a total of 838 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Artificial Intelligence, 32 papers in Computer Vision and Pattern Recognition and 15 papers in Control and Systems Engineering. Recurrent topics in Komei Sugiura’s work include Multimodal Machine Learning Applications (26 papers), Speech and dialogue systems (12 papers) and Human Pose and Action Recognition (11 papers). Komei Sugiura is often cited by papers focused on Multimodal Machine Learning Applications (26 papers), Speech and dialogue systems (12 papers) and Human Pose and Action Recognition (11 papers). Komei Sugiura collaborates with scholars based in Japan, United States and Italy. Komei Sugiura's co-authors include Koji Zettsu, Naoto Nishizuka, Mamoru Ishii, Yûki Kubo, N. Maeno, Mitsue Den, Hisashi Kawai, Mianxiong Dong, Naoto Iwahashi and Satoshi Nakamura and has published in prestigious journals such as The Astrophysical Journal, Geophysical Research Letters and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Komei Sugiura i

Fields of papers citing papers by Komei Sugiura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Komei Sugiura

Since Specialization
Citations

This map shows the geographic impact of Komei Sugiura'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 Komei Sugiura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Komei Sugiura 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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2025