Ikumi Suzuki

13 papers and 57 indexed citations i.

About

Ikumi Suzuki is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Ikumi Suzuki has authored 13 papers receiving a total of 57 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Molecular Biology. Recurrent topics in Ikumi Suzuki’s work include Topic Modeling (3 papers), Face and Expression Recognition (3 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Ikumi Suzuki is often cited by papers focused on Topic Modeling (3 papers), Face and Expression Recognition (3 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Ikumi Suzuki collaborates with scholars based in Japan, Belgium and Serbia. Ikumi Suzuki's co-authors include Kazuo Hara, Masashi Shimbo, Kenji Fukumizu, Marco Saerens, Yūji Matsumoto, Miloš Radovanović, Yasuyuki Sakai, Yutaro Shigeto, Takashi Ikegami and Shigeyuki Oba and has published in prestigious journals such as Journal of Visualized Experiments, Advanced Robotics and Cancer Informatics.

In The Last Decade

Co-authorship network of co-authors of Ikumi Suzuki i

Fields of papers citing papers by Ikumi Suzuki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ikumi Suzuki

Since Specialization
Citations

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